JP7186436B2 - Search system and search method - Google Patents

Description

TECHNICAL FIELD The present invention relates to a search system and search method using a database, and is particularly suitable for searching relationships between multiple physical property parameters.

The goal of prediction and design in materials research is to identify materials with desired properties. A method that has been widely used for this purpose from the past is a method that aims to identify materials that have the desired properties from a condition-property chart. This involves observing changes in characteristics when changing only one specific condition out of multiple conditions, creating a chart, and finding the conditions with the desired characteristics by interpolating or extrapolating the chart. , is a method of identifying materials that meet the conditions. The term "chart" used here has the same meaning as the term "graph" representing a line graph or the like, but a different term is used for the purpose of distinguishing it from the later-described "graph" consisting of nodes and edges.

At this time, the change in characteristics when changing only one specific condition out of a plurality of conditions is often obtained by conducting an experiment on one's own. This is because it is difficult to obtain a large amount of data with all the same conditions other than the above-mentioned specific conditions, even after searching a large number of documents.

Patent Literature 1 discloses a search system capable of objectively searching for information on constituent substances of new materials having desired properties. The search system disclosed in the document includes a database having a plurality of pieces of physical property parameter information for each of a plurality (a large number) of substances. At this time, the database may include physical property parameter information for which actual data is not given depending on the substance. Using a physical property parameter to be searched as one axis and a part of other physical property parameters as another axis, a two-dimensional or three-dimensional space or more is created, and each substance in the database is mapped. At this time, physical parameters for which there is no actual data are supplemented with virtual data predicted using multivariate analysis, calculation based on a predetermined logical formula, or first-principles calculation. In a search map obtained by mapping real data and virtual data, substances having desired properties are identified based on predetermined rules.

Patent Document 2 discloses a search system capable of searching for an unknown combination of physical property parameters having a significant relationship based on already known relationships among arbitrary combinations of multiple physical property parameters. and search methods are disclosed. This search system includes a database, a graph generation unit, and a graph search unit, and is configured as follows. The database stores a plurality of pairs of physical property parameters that have a relationship with each other, and the graph generator uses the plurality of physical property parameters stored in the database as nodes, and the nodes corresponding to the physical property parameter pairs that have a relationship are edges. to generate a graph. The graph search unit searches the graph generated by the graph generation unit based on given search conditions, and outputs search results.

In Patent Document 3, similar to Patent Document 2, in searching for a combination of unknown physical property parameters having a significant relationship among arbitrary combinations of a plurality of physical property parameters, it is possible to perform a search in consideration of priority. A capable search system and search method are disclosed. Similar to Patent Document 2, the relationship between a plurality of physical property parameters is a graph having a plurality of physical property parameters as nodes and edges between nodes corresponding to physical property parameter pairs having a relationship. attached to nodes and/or edges as their attributes. The attributes are used to obtain the priority of the routes extracted as a result of the search, and the results are output in descending order of priority.

JP 2007-18444 A International publication WO2017/221444 International publication WO2018/159237

As a result of examining patent documents 1, 2 and 3, the present inventor found that there are new problems as follows.

The technique described in Patent Literature 1 uses relationships among a plurality of physical property parameters to predict virtual data, but the relationships are limited to already known relationships.

On the other hand, the inventor of the present application is able to extract significant relationships that were unknown due to the huge number of physical property parameters when viewed across many technical fields. , and proposed the search system disclosed in Patent Document 2 as a solution.

According to the search system and search method shown in Patent Documents 2 and 3, it is possible to cross-search all fields including fields with low mutual relationships, thereby finding unknown physical property parameters with significant relationships. Combinations can be extracted. The extraction results are extracted in various forms based on combinations of related physical property parameters on the cause side and physical property parameters on the effect side. For example, multiple paths from the cause-side physical property parameter to the result-side physical property parameter, a set of result-side physical property parameters within a predetermined range from the cause-side physical property parameter, conversely, within a predetermined range to the result-side physical property parameter It is, for example, a set of physical property parameters on the cause side. For example, when a search user aims to identify a material with a desired property, all physical property parameters along the route from the physical property parameter on the cause side to the physical property parameter on the result side satisfy the predetermined specifications. The aim is to identify In this way, the user can narrow down the search range to a certain extent by using the search system, but more detailed examination is required to specify the target substance/material.

The inventors of the present invention realized that in the process of this study, the user is required to have knowledge of the measurement method for knowing the specific values of the physical property parameters in the searched range.

In order to specify the target substance/material, the values of other physical property parameters are controlled so that a certain physical property parameter satisfies a predetermined specification from among the multiple paths included in the narrowed search range. It will happen. For example, in order to specify a substance suitable for a transparent electrode, by controlling the content of the substance added to the base material, the transmittance of visible light is a predetermined value or more and the electrical resistance is a predetermined value or less. Identify substances. In the actual process of controlling physical properties, the process of actually making a prototype and measuring what specific value the resulting physical property parameter will be when a certain causative physical property parameter is changed is included. are not few. Furthermore, it may be necessary to measure the value of a physical property parameter in the middle of the physical property control path. However, users who search physical properties do not always have sufficient knowledge about such measurement methods.

It is an object of the present invention to provide a physical property search system with highly practical knowledge of the measurement method even for users who do not have sufficient knowledge of the measurement method, and to improve the convenience of the search system. That is.

Means for solving such problems will be described below, but other problems and novel features will become apparent from the description of this specification and the accompanying drawings.

According to one embodiment of the present invention, it is as follows.

That is, the search system includes a physical property parameter relationship database, a graph generator, a graph searcher, a user interface, and a physical property measurement method database, and is configured as follows.

The physical property parameter relationship database stores a plurality of parameter pairs of physical property parameters having relationships.

The graph generating unit generates a graph in which each of the plurality of physical property parameters included in the plurality of parameter pairs stored in the physical property parameter relationship database is set as a node, and the nodes corresponding to each of the plurality of parameter pairs are set as edges. configured to be able to

The graph search unit is configured to search the graph based on search conditions given via a user interface and output search results. A search result is one or more paths or subgraphs composed of multiple nodes and multiple edges that satisfy the search conditions, and is output via a user interface.

The physical property measurement method database stores one or more measurement methods in association with physical property parameters to be measured.

The user interface is configured to be able to output information about the measurement method associated with the search result together with the search result by referring to the physical property measurement method database.

A brief description of the effects obtained by the above embodiment is as follows.

That is, even users who do not have sufficient knowledge of measurement methods can be provided with highly practical knowledge in searching for physical properties, and the convenience of the search system can be improved. In particular, when identifying substances with target physical properties, consider the convenience of measurement methods for confirming the values of physical property parameters that are included in or near the paths obtained as search results. , it is possible to provide the user with a support function for identifying the optimum route or the like.

FIG. 1 is a block diagram showing a configuration example of a search system according to Embodiment 1. FIG. FIG. 2 is an explanatory diagram illustrating an input form as a configuration example of the physical property measurement method database. FIG. 3 is an explanatory diagram showing a display example of information on a measurement method by graph expansion according to the first embodiment. FIG. 4 is an explanatory diagram showing a more specific display example of information on the measurement method. FIG. 5 is an explanatory diagram showing a display example when a physical property parameter used by the measurement principle is added to the physical property measurement method database. FIG. 6 is an explanatory diagram showing another display example when a physical property parameter used by the measurement principle is added to the physical property measurement method database. FIG. 7 is an energy band structure diagram of a substance. FIG. 8 is a block diagram showing an example of a hardware system in which the search system 10 of the present invention is implemented. FIG. 9 is a block diagram showing a configuration example of a search system according to the second embodiment. FIG. 10 is an explanatory diagram showing a display example of information on the measurement method by graph extension according to the second embodiment. FIG. 11 is an explanatory diagram showing another display example of information on the measurement method by graph extension according to the second embodiment. FIG. 12 is a block diagram showing a configuration example of a search system according to the third embodiment. FIG. 13 is a block diagram showing a configuration example of a search system according to the fourth embodiment. FIG. 14 is a flow chart showing one configuration example of a search method according to the present invention. FIG. 15 is a flow chart showing a modification of the search method. FIG. 16 is a flow chart showing another configuration example of the search method according to the present invention.

1. Outline of Embodiment First, an outline of a representative embodiment disclosed in the present application will be described. Reference numerals in the drawings, which are referenced in parentheses in the general description of representative embodiments, are merely illustrative of the concept of the component to which they are attached.

[1] <Physical Property Search System Equipped with Measurement Method Database>
A representative embodiment of the present invention is a search system (10) comprising a physical property parameter relationship database (1), a graph generation unit (2), a graph search unit (4), and a user interface (5), , is constructed as follows (Fig. 1):

The physical property parameter relationship database stores a plurality of parameter pairs of physical property parameters having a relationship. The graph generation unit may generate a graph (3) in which each of the plurality of physical property parameters included in the plurality of parameter pairs is set as a node and between the nodes corresponding to each of the plurality of parameter pairs is set as an edge. configured to allow The graph search unit is configured to search the graph based on search conditions given via the user interface and output search results via the user interface. The search result is one or more paths or subgraphs composed of a plurality of nodes and a plurality of edges that satisfy the search condition.

The search system further comprises a physical property measurement database (6).

The physical property measurement method database stores one or more measurement methods (31 in FIG. 2) and physical property parameters (32 in FIG. 2) to be measured in association with each other.

The user interface is configured to refer to the physical property measurement method database to output information on measurement methods related to the search results together with the search results.

As a result, it is possible to provide users who do not have sufficient knowledge of measurement methods with highly practical knowledge in searching for physical properties, and to improve the convenience of the search system. In particular, when identifying substances and materials with target physical properties, it is possible to examine measurement methods for confirming the values of physical property parameters that are included in or near paths obtained as search results. do. In this way, it is possible to provide the user with a support function for identifying the optimum route for physical property control.

[2] <Expansion of graph based on measurement method database>
In item [1], the plurality of physical property parameters stored as the plurality of parameter pairs in the physical property parameter relationship database are defined as first physical property parameters. A physical property parameter included in the first physical property parameter and stored in the physical property measurement method database as a measurement target for each of the one or more measurement methods is referred to as a second physical property parameter (32 in FIG. 2).

Said search system further comprises a graph extension (7) (Fig. 1).

The graph extension unit adds a new node to the graph corresponding to each of the one or more measurement methods stored in the physical property measurement method database, and adds a new node to the graph corresponding to each of the measurement methods stored in the physical property measurement method database. It is configured such that a new edge can be added between the node in the graph corresponding to two physical parameters and the new node (FIGS. 3 and 4).

The user interface includes edges connected to nodes included in the one or more paths or subgraphs that are the search results, among the new nodes and the new edges added corresponding to the measurement method, and The connected nodes are configured to be displayed together with the search results.

This improves the visibility of the information on the measurement method and further improves the convenience of the search system.

[3] <Addition of edges to graph by physical property parameters used in measurement principle; Fig. 1>
In item [2], the physical property measurement method database includes one or more physical property parameters used by the measurement principles based on each of the one or more measurement methods as third physical property parameters (33 in FIG. 2). It is further stored in association with the measurement method.

The graph extension unit includes the new node added to the graph corresponding to each of the one or more measurement methods, and the third node stored in the physical property measurement method database in association with the measurement method. New edges can be further added between the nodes in the graph corresponding to the physical property parameters of (FIG. 5).

The user interface can further add and display edges connected to nodes included in the one or more paths or subgraphs that are the search results, among the new edges that have been added. configured to

This provides the user with an opportunity to notice when a physical property parameter is obtained by analyzing the measurement results of another measurement method instead of directly measuring it by a measurement method already known to the user. can be done.

[4] <Influence factor database>
In item [3], the search system further comprises an influence factor database (8) (FIG. 9). As used herein, "influence factor" refers to a factor that is not a physical property parameter but that affects the physical property and thus contributes to the measurement method and its underlying measurement principle. environmental factors such as temperature, pressure, electric field, magnetic field; factors relating to the morphology of matter such as spherical, columnar, linear, cluster, surface area/volume ratio, orientation direction, degree of dispersion; , diameter, nano, micro, bulk, etc. are included.

The physical property measurement method database associates at least one physical property parameter among the second and third physical property parameters with one or more influencing factors (34 in FIG. 2) on which the physical property parameter depends. Remember. The physical property measurement method database or the influencing factor database may further store dependency information indicating the dependency relationship in association with the physical property parameter.

In addition to the nodes and edges added corresponding to the respective measurement methods stored in the physical property measurement method database, the graph extension unit further adds new nodes for influencing factors involved in the measurement principle on which each measurement method is based. , and a new edge between nodes corresponding to the second and/or third physical property parameters defined by the relationship can be added to the graph (Fig. 10 , Fig. 11).

The user interface is configured to be able to add and display the new node and the new edge.

This makes it possible to visualize the environmental factors that are premised in the measurement principle on which each measurement method is based, further improve the visibility of information related to the measurement method, and further improve the convenience of the search system. .

More preferably, the influence factor database (8) comprises at least one of an environment description database (11), a morphology description database (12) and a size description database (13) (Fig. 11).

The environment description database includes at least one of temperature, pressure, an electric field, and a magnetic field as influencing factors, and describes a dependency relationship for a physical property parameter dependent on the influencing factor among the second or third physical property parameters. The dependency information shown is associated with and stored.

The morphology description database includes at least one of spherical, columnar, linear, cluster, surface area/volume ratio, orientation direction, and degree of dispersion as influencing factors, and Dependency information indicating the dependency relationship is stored in association with physical property parameters that depend on factors.

The size description database includes at least one of length, diameter, nano, micro, and bulk as influencing factors, and for the physical property parameter dependent on the influencing factor among the second or third physical property parameters, It is stored in association with dependency information indicating the dependency.

As a result, the influencing factor database (8) is divided into lower-level databases with different concepts, and the contribution of the influencing factors of the physical property parameters related to the measurement method is displayed or used for narrowing down the search results. can be improved.

[5] <User measurement method database>
In any one of items [1] to [4], the search system further comprises a user measurement method database (9) for each user (Fig. 12). The user measurement method database includes the measurement method and the physical property parameter to be measured, which are stored in the physical property measurement method database in association with each other, as well as information on the measurement equipment for the user to execute the measurement method. and/or information on the measurement results obtained by the measurement method is further associated and stored.

As a result, the user-specific information regarding the measurement method is integrated, and the convenience for the user can be further enhanced with respect to the support function provided for specifying the optimum route or the like from the search results. For example, when displaying a plurality of routes included in the search results, it is possible to refer to the user measurement method database (9) and preferentially display the measurement method that is easy for the user to use.

[6] <Presentation of physical property parameters whose values can be obtained by analysis, etc. from measurement methods and measurement data>
A representative embodiment of the present invention is a search system (10) comprising a physical property parameter relationship graph (15), a graph search unit (4), and a user interface (5), and is configured as follows: (Fig. 13).

The physical property parameter relationship graph is a graph in which nodes are each of a plurality of physical property parameters included in a plurality of parameter pairs of physical property parameters having a relationship, and edges are between nodes corresponding to each of the plurality of parameter pairs. be. Here, a plurality of physical property parameters included in the plurality of parameter pairs are defined as first physical property parameters.

The search system further comprises a physical property measurement database (6) and a graph extension (7).

The physical property measurement method database stores one or more measurement methods in association with physical property parameters to be measured. Let the physical parameter to be measured be a second physical parameter. One or more physical property parameters used by the measurement principle on which the measurement method is based are associated with the measurement method as third physical property parameters and further stored in the physical property measurement method database, and the second physical property parameter and the second physical property parameter are associated with the measurement method. The relationship with the three physical property parameters is further stored in the physical property measurement method database in association with the measurement method.

The graph extension unit adds a new node to the physical property parameter relationship graph corresponding to each of the one or more measurement methods stored in the physical property measurement method database, and associates it with each measurement method. A new edge can be added between a node in the physical parameter relationship graph corresponding to the stored second and third physical parameter and the new node.

The graph search unit outputs a subgraph within a predetermined range starting from a node corresponding to one or more measurement methods designated via the user interface as a search result via the user interface. is configured to allow

As a result, it is possible to search for physical properties starting from the measurement method even before the physical property search for the physical property parameter relationship graph (15) is performed. In contrast, highly practical knowledge can be provided in searching for physical properties, and the convenience of the search system can be improved. When the user designates a measurement method, the values of physical property parameters that can be measured by that measurement method are output. Furthermore, the existence of other physical property parameters whose values cannot be measured directly by the measurement method but whose relationship is used in the measurement principle can be known. For this reason, it is possible to provide a user who does not have sufficient knowledge about the measurement method with a new opportunity to notice.

[7] <Influence factor database>
In item [6], the search system further comprises an influence factor database (8) (FIG. 13).

The influencing factor database associates at least one physical property parameter among the second and third physical property parameters stored in the physical property measurement method database with one or more influencing factors on which the physical property parameter depends. memorize.

In addition to the nodes and edges added corresponding to the respective measurement methods stored in the physical property measurement method database, the graph extension unit further adds new nodes for influencing factors involved in the measurement principle on which each measurement method is based. and a node corresponding to the second and/or third physical property parameter whose relationship is defined by the relationship can be added to the physical property parameter relationship graph as a new edge. be.

The user interface is configured to be able to add and display the new node and the new edge.

This makes it possible to visualize the environmental factors that are premised in the measurement principle on which each measurement method is based, further improve the visibility of information related to the measurement method, and further improve the convenience of the search system. .

Similar to item [4], the influence factor database (8) preferably includes at least one of the environment description database (11), the morphology description database (12) and the size description database (13).

[8] <User measurement method database>
In item [6] or [7], the search system further comprises a user measurement method database (9) for each user (FIG. 13). The user measurement method database includes the measurement method and the physical property parameter to be measured, which are stored in the physical property measurement method database in association with each other, as well as information on the measurement equipment for the user to execute the measurement method. and/or information on the measurement results obtained by the measurement method is further associated and stored.

As a result, the user-specific information regarding the measurement method is integrated, and the convenience for the user can be further enhanced with respect to the support function provided for specifying the optimum route or the like from the search results. For example, when displaying a plurality of routes included in the search results, it is possible to refer to the user measurement method database (9) and preferentially display the measurement method that is easy for the user to use.

[9] <Physical property search method with measurement method database>
A representative embodiment of the present invention is implemented by software running on a computer having a storage device, and includes a graph generation step (S1) that refers to a physical property parameter relationship database (1) stored in the storage device, and , a measurement method information requesting step (S6) and a graph searching step (S3), which is configured as follows (FIG. 14).

The physical property parameter relationship database stores a plurality of parameter pairs of physical property parameters having a relationship.

In the graph generation step, a graph (3, illustrated in FIG. 14 generated).

The graph searching step searches the graph based on the information-requested metric given from the metric information requesting step, and one or more paths constructed by a plurality of nodes and a plurality of edges satisfying the search condition. Alternatively, the subgraph is output as the search result (S4).

Said search method further comprises a property measurement method database (6) stored in said storage device or other storage device, said property measurement method database comprising one or more measurement methods (31 in FIG. 2) and their measurements. It is stored in association with the target physical property parameter (32 in FIG. 2).

The search method refers to the physical property measurement method database to output information on the measurement method related to the search result together with the search result (S4).

As a result, it is possible to provide users who do not have sufficient knowledge of measurement methods with highly practical knowledge in searching for physical properties, and to provide a highly convenient search method. In particular, when identifying substances with target physical properties, it is possible to consider the convenience of measurement methods for confirming the values of physical property parameters that are included in or near the paths obtained as search results. to In this way, it is possible to provide the user with a support function for identifying the optimum path for physical property control.

[10] <Expansion of graph based on measurement method database>
In item [9], the plurality of physical property parameters stored as the plurality of parameter pairs in the physical property parameter relationship database are defined as first physical property parameters, and the one physical property parameter included in the first physical property parameter and stored in the physical property measurement database is Alternatively, one or a plurality of physical property parameters corresponding to each of a plurality of measurement methods as a measurement target is set as a second physical property parameter (32 in FIG. 2).

The search method further comprises a graph expansion step (S5) (Fig. 15).

The graph expansion step adds a new node to the graph corresponding to each of the one or more measurement methods stored in the physical property measurement method database, and adds a new node to the graph corresponding to each of the measurement methods stored in the physical property measurement method database. Add a new edge between the node in the graph corresponding to the two physical parameters and the new node.

The search method includes, among the new nodes and the new edges added corresponding to the measurement method, edges connected to nodes included in the one or more paths or subgraphs that are the search results and The connected nodes are displayed together with the search results (S4) (FIGS. 3 and 4).

As a result, the visibility of information related to the measurement method is improved, and a search method with further improved convenience can be provided.

[11] <Addition of edges to graph by physical property parameters used by measurement principle>
In item [10], the physical property measurement method database includes one or more physical property parameters used by the measurement principles based on each of the one or more measurement methods as third physical property parameters (33 in FIG. 2). It is further stored in association with the measurement method.

In the graph expansion step, the new node added to the graph corresponding to each of the one or more measurement methods and the third node stored in the physical property measurement method database in association with the measurement method New edges are further added between the nodes in the graph corresponding to the physical property parameters of (Fig. 5).

The search method further adds and displays edges connected to nodes included in the one or more paths or subgraphs that are the search result, among the new edges that are further added.

This provides the user with an opportunity to notice when a physical property parameter is obtained by analyzing the measurement results of another measurement method instead of directly measuring it by a measurement method already known to the user. can be done.

[12] <Influence factor database>
In item [11], the search method further comprises an influence factor database (8) stored in the storage device or another storage device (Fig. 15).

The influencing factor database includes at least one physical property parameter among the second and third physical property parameters stored in the physical property measurement method database, and one or more influencing factors on which the physical property parameter depends ( 34) are associated with each other and stored.

In the graph expansion step, in addition to the nodes and edges added corresponding to each measurement method stored in the physical property measurement method database, influence factors related to the measurement principle on which each measurement method is based are further added to new nodes. , and a new edge between it and the node corresponding to the second and/or third physical property parameter defined by the relationship is added to the graph (S5) (FIGS. 10 and 11).

The search method adds and displays the new node and the new edge (S4).

As a result, the environmental factors assumed in the measurement principles based on each measurement method are visualized, the visibility of information related to the measurement method is further improved, and a more convenient search method is provided. can be done.

Similar to [4], the influence factor database (8) preferably includes at least one of the environment description database (11), the morphology description database (12) and the size description database (13) ( 10 and 11).

[13] <User measurement method database>
In any one of [9] to [12], the search method further comprises a user measurement method database (9) for each user, stored in the storage device or another storage device ( Figure 15).
The user measurement method database includes the measurement method and the physical property parameter to be measured, which are stored in the physical property measurement method database in association with each other, as well as information on the measurement equipment for the user to execute the measurement method. and/or information on the measurement results obtained by the measurement method is further associated and stored.

As a result, the user-specific information regarding the measurement method is integrated, and the convenience for the user can be further enhanced with respect to the support function provided for specifying the optimum route or the like from the search results. For example, when displaying a plurality of routes included in the search results, it is possible to refer to the user measurement method database (9) and preferentially display the measurement method that is easy for the user to use.

[14] <Presentation of physical property parameters whose values can be obtained by analysis, etc. from measurement methods and measurement data>
A representative embodiment of the present invention is implemented by software operating on a computer having a storage device, and according to search conditions input from a search condition input step (S2, not shown in FIG. 16), A search method comprising a graph search step (S3) for searching a physical property parameter relationship graph (15) stored in the device, which is configured as follows (FIG. 16).

The physical property parameter relationship graph is a graph in which each of a plurality of physical property parameters included in a plurality of parameter pairs of physical property parameters having a relationship is set as a node, and the nodes corresponding to each of the plurality of parameter pairs are set as edges. is. Here, a plurality of physical property parameters included in the plurality of parameter pairs are defined as first physical property parameters.

The search method further comprises a physical property measurement method database (6) stored in the storage device or another storage device, and a graph expansion step (S5) referring to the physical property measurement method database.

The physical property measurement method database stores one or more measurement methods in association with physical property parameters to be measured. Let the physical property parameter to be measured be the second physical property parameter (32 in FIG. 2). One or more physical property parameters used by the measurement principle on which the measurement method is based are associated with the measurement method as a third physical property parameter (33 in FIG. 2) and further stored in the physical property measurement method database. The relationship between the second physical property parameter and the third physical property parameter is further stored in the physical property measurement method database in association with the measurement method.

The graph expansion step adds new nodes to the physical property parameter relationship graph corresponding to each of the one or more measurement methods stored in the physical property measurement method database, and associates the nodes with the respective measurement methods. A new edge is added between the node in the physical property parameter relationship graph corresponding to the stored second and third physical property parameters and the new node.

In the graph search step, a subgraph within a predetermined range starting from a node corresponding to one or more designated measurement methods is output as a search result (S4).

As a result, instead of the search starting from the physical property parameter, the search starting from the measurement method can be made possible, and the convenience of the search method can be improved. For example, even if a physical property value cannot be determined directly from known measurement methods, the user can use an indirect measurement method that can be analytically determined by combining multiple measurement methods. It is a support function for learning

[15] <Influence factor database>
In item [14], said search system stored in said storage device or other storage device further comprises an influence factor database (8) (Fig. 16).

The influencing factor database associates at least one physical property parameter among the second and third physical property parameters stored in the physical property measurement method database with one or more influencing factors on which the physical property parameter depends. memorize.

In the graph expansion step, in addition to the nodes and edges added corresponding to each measurement method stored in the physical property measurement method database, influence factors related to the measurement principle on which each measurement method is based are further added to new nodes. , and a new edge between nodes corresponding to the second and/or third physical property parameters whose association is defined by the relationship is added to the physical property parameter relationship graph.

In the graph search step, a subgraph within a predetermined range starting from a node corresponding to one or more designated measurement methods is output as a search result (S4).

This makes it possible to visualize the environmental factors that are premised in the measurement principle on which each measurement method is based, to further improve the visibility of information related to measurement methods, and to provide a more convenient search method. can.

Similar to item [4], the influence factor database (8) preferably includes at least one of the environment description database (11), the morphology description database (12) and the size description database (13).

[16] <User measurement method database>
In item [14] or [15], the search method further comprises a user metrics database (9) for each user stored in the storage device or another storage device (Fig. 16).

The user measurement method database includes the measurement method and the physical property parameter to be measured, which are stored in the physical property measurement method database in association with each other, as well as information on the measurement equipment for the user to execute the measurement method. and/or stores information about the measurement result obtained by the measurement method in association with the measurement method.

In the graph search step, a subgraph within a predetermined range starting from a node corresponding to one or more designated measurement methods is output as a search result (S4).

As a result, the user-specific information regarding the measurement method is integrated, and the convenience for the user can be further enhanced with respect to the support function provided for specifying the optimum route or the like from the search results. For example, when displaying a plurality of routes included in the search results, it is possible to refer to the user measurement method database (9) and preferentially display the measurement method that is easy for the user to use.

2. Details of the Embodiments The embodiments are further described in detail.

[Embodiment 1]
FIG. 1 is a block diagram showing a configuration example of a search system according to Embodiment 1. FIG.

A search system 10 according to the first embodiment includes a physical property parameter relationship database 1 , a graph generator 2 , a graph searcher 4 , a user interface 5 , a physical property measurement method database 6 , and a graph extension unit 7 .

A physical property parameter relationship database 1 stores a plurality of parameter pairs of physical property parameters having a relationship. At this time, the relationship between the physical property parameter pairs is not only a relationship based on scientific grounds, that is, a relationship that has been theoretically explained, but also a relationship that has not been theoretically explained yet, and a formalized Even at the stage where it has not been performed, a relationship whose existence is known due to a clear correlation being recognized from experimental data may be included. In addition to relationships formulated like theorems and formulas, “relationships explained theoretically” include the presence or absence of correlation and the sign of the correlation coefficient (when one increases, the other also increases). or decrease) may be broadly included, even semi-quantitative or even qualitative relationships. At this time, any relationship known in any field need not be particularly excluded, and physical property parameter pairs whose relationship is known in any field can be included.

A graph generator 2 generates a graph 3 . Graph 3 is a graph in which each of a plurality of physical property parameters constituting a plurality of parameter pairs stored in the physical property parameter relationship database 1 is set as a node, and two nodes corresponding to each parameter pair are set as edges. .

The graph search unit 4 is configured to search the graph 3 based on search conditions given via the user interface 5 and output search results. When the physical property parameters on the cause side and the result side are specified as search conditions, the graph search unit 4 searches the graph 3 for routes between corresponding nodes, extracts one or more routes, and searches output as a result. Further, when a physical property parameter and a range on the cause side or on the result side are specified as search conditions, the graph search unit 4 searches the graph 3 for a subgraph within a predetermined range with the corresponding node as the start point or end point. is output as the search result. In this way, the search result is one or more paths or subgraphs composed of multiple nodes and multiple edges that satisfy the search conditions. Here, the physical property parameter relationship database 1, the graph generation unit 2, and the graph search unit 4 can be configured as disclosed in Patent Documents 2 and 3, for example.

The physical property measurement method database 6 is a database that associates and stores one or more measurement methods and physical property parameters to be measured.

The user interface 5 is configured to refer to the physical property measurement method database 6 to output information on measurement methods related to the search results output from the graph search unit 4 together with the search results. Here, the information on the measurement method may include the relationship with other physical properties used in the principle of the measurement method of physical property values. In addition, the conditions premised by the measurement method, such as temperature range and the state of the substance as the sample (solid, liquid, gas), etc., may also be included. Furthermore, information on the measurement device, the measurement entrusted organization, etc. may be included.

Since the search result is a subgraph containing nodes that satisfy the search conditions, as described above, the user interface 5 sends information on the physical property parameter measurement method corresponding to the node included in the search result to the physical property measurement method database 6. It can be obtained by referencing and output together with the search result. For example, the user interface 5 displays a subgraph that is a search result, and when the user specifies a node included in it and requests measurement method information, the information on the measurement method of the physical parameter corresponding to that node is displayed in the search result. The results can be displayed accordingly. Note that the nodes that can be specified as targets for outputting information about the measurement method are not necessarily limited to the nodes included in the search results, and can be extended to nodes near the subgraph that is the search result. good too. Here, "output" includes "display" as one aspect thereof, but is not limited to "display". This is the same throughout the specification.

As a result, it is possible to provide users who do not have sufficient knowledge of measurement methods with highly practical knowledge in searching for physical properties, and to improve the convenience of the search system. In particular, when identifying substances with target physical properties, it is possible to consider the convenience of measurement methods for confirming the values of physical property parameters that are included in or near the paths obtained as search results. By doing so, it is possible to provide the user with a support function for identifying the optimum route or the like.

A configuration example of the physical property measurement method database 6 will be described. FIG. 2 is an explanatory diagram illustrating an input form as a configuration example of the physical property measurement method database 6. As shown in FIG. The input form 30 of the physical property measurement method database 6 can be configured in tabular form as illustrated. A measurement method 31 is described in the first column, and a physical parameter 32 to be measured by the measurement method is described in the second column. Furthermore, one or both of a physical property parameter 33 used by the measurement principle and an influencing factor 34 involved in the measurement principle may be included. Since the influencing factor 34 usually forms the horizontal and vertical axes of the chart produced in the measurement principle, FIG. do not have. Details will be described in a second embodiment. In addition, although not illustrated in FIG. 2, reference information such as an explanation of the measurement principle, a measurement apparatus, and a measurement entrusted institution may be further included.

As exemplified in FIG. 2, in the current-voltage characteristic measurement, electrical resistivity, Schottky barrier height and bandgap correspond to physical property parameters 32 to be measured. In the current-voltage characteristic measurement, by analyzing the characteristic curve when the horizontal axis is the voltage and the vertical axis is the current, the values of the physical property parameters as described above can be obtained. By normalizing the slope of the current and voltage with the length and cross-sectional area of the sample, the electrical resistivity can be obtained. When the current-voltage characteristic rises sharply, the Schottky barrier height and bandgap can be obtained from the threshold. can. The current and voltage at this time are not physical property parameters, but are factors that affect physical properties, and are therefore called influencing factors in this specification.

In internal photoemission (IPE) spectroscopy, the Schottky barrier height can be obtained by measuring the characteristics with light energy on the horizontal axis and photocurrent on the vertical axis.

Stress - strain curve measurement (stress-strain curve (diagram) measurement, tensile test / compression test), by taking the strain on the horizontal axis and the stress on the vertical axis, the Young's modulus can be obtained from the slope, or Yield strength and ultimate tensile strength can also be determined.

In the photoelectron yield spectroscopy, the ionization energy can be obtained by taking the light energy of the light irradiated to the sample on the horizontal axis and the yield of photoelectrons emitted from the sample by the irradiation on the vertical axis. Here, the ionization energy when the sample is metal is equal to the work function. Note that the photoelectron yield can also be positioned as a physical property parameter, so in FIG. It may be listed in the Influence Factors 34 Involved column.

Similarly, in other measurement methods described below, it may not always be clear whether a physical parameter is a mere influencing factor or not, but the clarity of the distinction is not so important in the present invention. This is because it is important to be able to present physical property parameters or influential factors involved in measurement to users who do not have sufficient knowledge of measurement methods, and it is of little significance to strictly determine which one to distinguish. .

In the optical transmission spectrum method, the horizontal axis is the light energy of the light irradiated to the sample, and the vertical axis is the light transmittance (light transmission coefficient) from the intensity of the light transmitted through the sample. can ask. In the optical absorption spectroscopy, the horizontal axis represents the light energy of the light irradiated to the sample, and the vertical axis represents the light absorption rate (light absorption coefficient) from the intensity of the light transmitted through the sample. Gap can be found.

In photoemission electron spectroscopy, the horizontal axis is the kinetic energy of electrons emitted by the photoelectric effect when irradiated with electromagnetic waves such as ultraviolet rays, and the vertical axis is the electron emission rate. A level (called a valence band offset) can be determined.

In the field electron emission measurement, the work function can be obtained by measuring the characteristics of the electron emission rate emitted by the tunneling effect with respect to the applied voltage when a high electric field is applied to the sample.

In X-ray diffraction (XRD), X-rays are scattered, interfered, and diffracted by the sample when they are incident on the sample. Lattice constants can be obtained from the relationship between the reflected X-ray intensity and the angle.

X-Ray Fluorescence (XRF) observes the characteristic X-rays (fluorescent X-rays) emitted from a sample when the sample is irradiated with X-rays. The composition of the sample can be determined from the relationship between the energy and intensity of the fluorescent X-rays.

In the thermal electron emission measurement, the amount of thermal electrons emitted by heating the cathode metal (sample) is measured, and the work function can be obtained from the relationship between the temperature and the electron emission rate. can.

In the Kelvin method (Kelvin probe), a standard material and a sample material are placed facing each other, and the induced current generated when the distance between them is changed is measured. By changing the bias voltage applied to the standard sample and measuring the bias voltage at which the induced current becomes zero, the contact potential difference can be obtained, and the work function of the sample can be obtained from this value.

In X-ray absorption spectroscopy (XAS), the energy of X-rays incident on a sample is plotted on the horizontal axis, and the observed X-ray absorptance is plotted on the vertical axis. Edge energies can be obtained.

In X-ray emission spectroscopy (XES), when the sample is irradiated with an electron beam or X-ray as an excitation source, the horizontal axis is the energy of the X-ray emission emitted from the sample, and the observed The X-ray emission edge energy, which is the threshold energy on the high-energy side of the curve drawn with the X-ray intensity as the vertical axis, can be obtained.

In X-ray photoelectron spectroscopy (XPS), when the sample is irradiated with X-rays as an excitation source, the horizontal axis represents the energy of the photoelectrons emitted from the sample, and the vertical axis represents the intensity of the observed photoelectrons. From the curves drawn for the axes, the binding energies and valence band maxima can be determined.

<Expansion of the graph based on the measurement method database>
Any method can be used to output the information about the measurement method, but if the search result is output as one or more paths or subgraphs, the graph can be expanded and output. That is, a graph extension unit 7 is added to the search system 10 as shown in FIG.

As described above, the physical property measurement method database 6 associates and stores measurement methods with physical property parameters to be measured. The graph extension unit 7 adds a new node corresponding to the measurement method stored in the physical property measurement method database 6 to the graph 3, a node in the graph 3 corresponding to the physical property parameter that is the measurement target of the measurement method, and Add a new edge between the added new node (corresponding to the measurement method).

The user interface 5 displays the new nodes and new edges added to the graph 3 corresponding to the measurement method, edges connected to nodes included in one or more paths or subgraphs that are search results, and edges connected thereto. It is configured so that the nodes searched for can be displayed along with their search results.

This improves the visibility of the information on the measurement method and further improves the convenience of the search system.

FIG. 3 is an explanatory diagram showing a display example of information on the measurement method by graph expansion according to the first embodiment. A subgraph 21 indicating the search result output from the graph search unit 4 and a physical parameter measurement method corresponding to the node included therein are added as new nodes, and the added new node and the subgraph 21 are added as new nodes. A new edge 22 is added between. The added new node is one in which the physical property parameter of the measurement target among the measurement methods stored in the physical property measurement method database 6 is included in the partial graph 21 indicating the search result. In FIG. 3, measurement methods for measuring physical property parameters L, G, M, D, and K, that is, X-ray absorption spectroscopy, infrared absorption spectroscopy, voltage-current characteristic measurement, X-ray photoelectron spectroscopy, A new node is added corresponding to the photoelectron yield method, and a new edge 22 is added between nodes corresponding to the physical property parameters L, G, M, D, and K to be measured.

The display method can be changed as appropriate. For example, among the nodes included in the subgraph 21 of the search result, all nodes whose measurement method is included in the physical property measurement method database 6 are displayed. Also, for example, only the partial graph 21 of the search result is displayed at first, and the node of the measurement method corresponding to the physical property parameter specified by the user is added and displayed.

FIG. 4 is an explanatory diagram showing a more specific display example of information related to the measurement method. In this example, the partial graph 21 showing the search result includes electrical resistivity, bandgap, Schottky barrier height, and work function as physical property parameters. Edges have been omitted in the subgraph 21, since their interrelationships are of little importance here. A measurement method for measuring the value of each physical property parameter is added as a new node, and a new edge 22 indicating the relationship is displayed together. As shown in this display example, a plurality of measurement methods that can measure the value of one physical property parameter may be displayed, and the user can notice a measurement method that the user was unaware of. As exemplified in FIG. 4, the optical absorption spectroscopy method is generally used to measure the bandgap, but it can also be obtained from the results of voltage-current characteristic measurement. In addition, internal photoelectric effect measurement and voltage-current characteristic measurement can be applied to the measurement of the Schottky barrier height. A photoelectron yield method, a field electron emission spectrum thermionic emission method, and a Kelvin method can be applied to the work function measurement method. As the number of measurement methods stored in the physical property measurement method database 6 increases, the measurement methods for measuring one physical property parameter can be displayed more exhaustively. As a result, visibility may be hindered. The number and type of displayed measurement methods may be configured to be restricted by some condition.

FIG. 4 does not show all the information stored in the physical property measurement method database 6 constructed using the input form 30 shown in FIG. The subgraph 21 is, as described above, a subgraph containing nodes that satisfy the specified search conditions, and the physical property measurement method database 6 is referred to for information on the physical property parameter measurement methods corresponding to the nodes included therein. and displayed together with the partial graph 21 that is the search result. Furthermore, only the nodes specified via the user interface 5 among the nodes included in the subgraph 21 may be configured to display information on the method of measuring the physical property parameter corresponding to the node.

As described above, the physical property measurement method database 6 further stores, in addition to the measurement method and the physical property parameter to be measured, the physical property parameter used by the measurement principle on which the measurement method is based, in association with the measurement method. You may For example, as shown in FIG. 2, a column of physical property parameters 33 used in the measurement principle is added to the input form 30 and input to the search system 10 to configure the physical property measurement method database 6 . In this example, the physical property parameter to be measured in the photoelectron yield method is the ionization energy (work function in the case of metals), and the physical property parameter 33 used in the measurement principle is the photoelectron yield. are stored in the physical property measurement method database 6 in association with the method. Similarly, the optical transmission spectrum method is associated with the light transmittance (light transmission coefficient), and the optical absorption spectrum method is associated with the light absorption rate (light absorption coefficient). Photoelectron spectroscopy, field electron emission method, and thermoelectron emission method are associated with the amount of emitted electrons and the electron emission rate, respectively.

At this time, the graph extension unit 7 newly adds a node corresponding to the measurement method stored in the physical property measurement method database 6 to the graph 3, and not only the physical property parameter of the measurement target of the measurement method, but also the measurement method A new edge can be added between the node corresponding to the physical property parameter 33 used by the measurement principle on which is based and the node corresponding to the measurement method. In the user interface 5, in addition to the edge between the node added corresponding to the measurement method and the node corresponding to the physical property parameter to be measured, the edge between the node corresponding to the physical property parameter involved in the measurement principle Edges can be added and displayed.

FIG. 5 is an explanatory diagram showing a display example when the physical property parameter 33 used by the measurement principle is added to the physical property measurement method database 6. As shown in FIG. When the physical property parameter 33 used by the measurement principle is added to the physical property measurement method database 6 as illustrated in FIG. 2, in addition to the display example shown in FIG. , edges connecting the new node with the photoelectron yield method, the field emission method, and the thermionic emission method, respectively, are added. It is indicated by a dashed line in FIG.

This provides the user with an opportunity to notice when the value of a physical parameter can be obtained by analyzing the results of measurements by other measurement methods instead of directly by a known measurement method. be able to. In the above example, the user notices that not only the work function can be determined by the photoelectron yield method, but also another physical parameter, the electron emission rate, can be determined by the photoelectron yield method.

Another modification will be described. A physical property parameter that is not measured by any of a plurality of measurement methods may indirectly become a measurement target by combining some of them. Providing the user with such an opportunity for awareness is extremely effective.

FIG. 6 is an explanatory diagram showing another display example when the physical property parameter 33 used by the measurement principle is added to the physical property measurement method database 6. As shown in FIG. Nodes corresponding to the fourth row from the bottom of the input form 30 illustrated in FIG. 2 are displayed. That is, FIG. 6 displays nodes corresponding to each of X-ray absorption spectroscopy, X-ray emission spectroscopy, and X-ray photoelectron spectroscopy among the measurement methods stored in the physical property measurement method database 6. A subgraph 21 is displayed that includes nodes corresponding to the X-ray absorption edge energy, the X-ray emission edge energy, the binding energy, and the valence band offset, which are the physical property parameters to be directly measured by the measurement method. X-ray absorption edge energy, X-ray emission edge energy, binding energy and valence band maximum are physical parameters closely related to conduction band minimum, bandgap and Fermi level.
FIG. 7 is an energy band structure diagram of a substance, showing physical property parameters to be measured by X-ray absorption spectroscopy, X-ray emission spectroscopy, and X-ray photoelectron spectroscopy, and physical property parameters closely related thereto. It shows the relationship between There is a Fermi level EF between the valence band and the conduction band of matter. The binding energy measured by X-ray photoelectron spectroscopy is the difference between the binding energy level EB and the Fermi level EF. The X-ray absorption edge energy to be measured by X-ray absorption spectroscopy is the difference between the conduction band minimum EC, which is the lower end of the conduction band, and the binding energy level EB. The X-ray emission edge energy to be measured by X-ray emission spectroscopy is the difference between the valence band maximum EV, which is the upper end of the valence band, and the bond energy level EB. The valence band offset is measured by X-ray photoelectron spectroscopy as the difference between the valence band maximum EV and the Fermi level EF.
The bandgap and conduction bandedge, which are physical parameters not directly measured by these measurements, are described in the same energy band structure diagram. That is, the bandgap is the difference between the conduction band minimum EC and the valence band maximum EV, and the conduction band edge is the difference between the conduction band minimum EC and the Fermi level EF. Such physical property parameter relationships are described in textbooks and the like, are stored in the physical property parameter relationship database 1 in the search system 10 of the present invention, and are reflected in the graph 3 as corresponding nodes and edges by the graph generation unit 2. It is A subgraph 21 illustrated in FIG. 6 is a part of graph 3 .

When the user designates X-ray absorption spectroscopy, X-ray emission spectroscopy, and X-ray photoelectron spectroscopy as available measurement methods, the search system 10 of the present invention displays a display as shown in FIG. can be presented to the user. As a result, users can realize the possibility of measuring not only the Fermi level and the conduction band minimum but also the bandgap by combining these measurement methods, which are not directly measured by the above three measurement methods. .

In the above example, the graph extension unit 7 adds new nodes and new edges based on the physical property measurement method database 6 to the entire graph 3 generated by the graph generation unit 2 . In this case, the processing up to the expansion of the graph 3 can be executed off-line, that is, at a different time and on a different computer than the graph search processing. For example, a computer that includes a graph extension unit 7 and a graph generation unit 2 to generate an extended graph 3, and a computer that stores the generated graph 3 in a storage device and includes a graph search unit 4 and a user interface 5. and can be configured separately. For example, the computer that generates the extended graph 3 can be the server side, and the computer that includes the graph search unit 4 and the user interface 5 can be the user side. On the server side, when at least one of the physical property parameter relationship database 1 and the physical property measurement method database 6 is changed, graph generation processing and graph extension processing are performed, and the updated graph is provided to the user side. On the user side, various graph search processes and the like can be performed on the same graph as long as the provided graph is not updated. The processing is distributed, and the amount of computational processing is reduced to the minimum necessary even in the whole.

On the other hand, the graph expansion unit 7 is connected to the user interface 5 instead of being connected to the graph generation unit 2 as shown in FIG. It can also be configured to process and display. That is, if physical property parameters corresponding to nodes included in one or more paths or subgraphs output as a search result are stored in the physical property measurement method database 6, the graph expansion unit 7 corresponds to the corresponding measurement method. Add a new node to the search result and add a new edge between said node contained in the search result. The graph extension unit 7 performs graph extension processing each time a graph search is performed. Focusing only on physical property parameters related to nodes included in the search results, the graph extension processing corresponding to the measurement method is performed. Therefore, the processing burden is minimized.

<Hardware/software implementation form>
The search system 10 of the present invention is functionally constructed as software on a hardware system comprising a storage device and a computer.

FIG. 8 is a block diagram showing an example of a hardware system in which the search system 10 of the present invention is implemented.

A server 100 and user workstations 110 and 120 are connected to a network 200 such as the Internet. The server 100 has a computer 101 , a storage device 102 , a network interface 103 , an input section 104 and a display section 105 . User workstations 110 and 120 also have computers 111 and 121, storage devices 112 and 122, network interfaces 113 and 123, input units 114 and 124, and display units 115 and 125, respectively.

The search system 10 is implemented as software in which, for example, the physical property parameter relationship database 1 is held in the storage device 102 on the server 100 side, and the graph generation unit 2 and the graph search unit 4 operate on the computer 101 . Graph 3 may be developed on the main memory of computer 101 or may be held in storage device 102 . The physical property measurement method database 6 is also held in the storage device 102 on the server 100 side, and the graph extension unit 7 is also realized as software that operates on the computer 101 on the server side. The user interface 5 is implemented in the workstations 110 and 120 on the user side, and the search system 10 is realized by inputting and outputting data from the workstation 100 on the server side via the network 200 . The user interface 5 is realized as an input unit 114, a display unit 115, and software that operates on and controls the computer 111 in the workstation 110 on the user side. It can be implemented for each individual user, such as being realized as software that operates on the unit 124 and the display unit 125 and the computer 121 and controls them. For example, the influence factor database described below may be held in the server-side storage device 102, and the user metrics database may be stored in the storage devices 112, 122 of the user-side workstations 110, 120 for each user.

Alternatively, the search system 10 of the present invention may be implemented closed to the server 100 only. The physical property parameter relationship database 1 and the physical property measurement method database 6 are held in the storage device 102 on the server 100 side, the graph generator 2 is realized as software that operates on the computer 101, and the generated graph 3 is The data is expanded in the internal memory or held in the storage device 102 . The graph search unit 4 and the graph extension unit 7 are also implemented as software operating on the computer 101, and the user interface 5 is implemented as an input unit 104, a display unit 105, and software operating on the computer 101 and controlling them. be.

Such hardware/software implementations can be applied to each of the following embodiments as well. In addition, regarding the division of roles between the server and the workstations on the user side, the above-described two modes are merely typical examples, and can be arbitrarily changed.

[Embodiment 2]
FIG. 9 is a block diagram showing a configuration example of a search system according to the second embodiment.

As with the search system 10 according to the first embodiment, the search system 10 according to the second embodiment includes a physical property parameter relationship database 1, a graph generation unit 2, a graph search unit 4, a user interface 5, and a physical property measurement method database 6. a graph extension unit 7; and an influence factor database 8. FIG.

As described in the first embodiment, the physical property measurement method database 6 associates one or a plurality of measurement methods with the physical property parameters 32 to be measured and stores them. The physical property measurement method database 6 further stores one or both of physical property parameters 33 used by the measurement principle on which the measurement method is based and influence factors 34 involved in the measurement principle in association with the measurement method. You may

The influence factor database 8 shows at least one physical property parameter among the plurality of physical property parameters stored in the physical property measurement method database 6, one or more influential factors on which the physical property parameter depends, and their dependency relationships. Dependency information is associated with and stored. Other configurations are the same as those of Embodiments 1 and 2, and detailed description thereof will be omitted.

In addition to the nodes and edges added corresponding to each measurement method stored in the physical property measurement method database 6, the graph extension unit 7 associates the influence factors involved in the measurement principle on which each measurement method is based, A new node is added to the graph 3, and a new edge is added between the node corresponding to the physical parameter whose relationship is defined by the measurement principle and the added new node (corresponding to the influencing factor involved). It is configured so that it can be added. The user interface 5 is configured to be able to add and display said further new nodes and said further new edges.

As a result, the environmental factors involved in the measurement principle on which each measurement method is based can be visualized, the visibility of information on the measurement method can be further improved, and the convenience of the search system can be further improved. It should be noted that the measurement method and the principle on which the measurement method is based generally have certain preconditions. For example, when the relationship between a certain physical property and another physical property is represented by an approximate expression, the temperature range in which the approximate expression holds may be limited. In addition, there are generally requirements for the shape and size of a sample for a certain measurement method. For example, a sample for optical transmission spectroscopy is required to have a thickness through which light can be transmitted to some extent. Thus, there are also influencing factors involved in the manner described above as information related to the measurement method. In the search system 10 of this embodiment, not only the measurement method but also the contribution of the influencing factor in such a form as related information is shown to the user, thereby further improving the convenience of the search system. can.

It is more preferable that the influence factor database 8 is divided into each subordinate concept influence factor like the environment description database 11, the morphology description database 12, and the size description database 13. FIG.

The environmental description database 11 includes at least one of temperature, pressure, electric field and magnetic field as influencing factors. The influencing factors held in the environmental description database 11 are factors representing the environment in which a substance is placed, and may influence physical properties or physical property parameters of the substance.

The morphological description database 12 includes at least one of spherical, columnar, linear, cluster, surface area/volume ratio, orientation direction, and dispersity as influencing factors. The influencing factors held in the morphological description database 12 are influencing factors representing the shapes and states of substances. Since the shape or state of the substance may affect the physical properties or physical parameters of the substance, it can be regarded as a kind of influencing factor.

The size description database 13 includes at least one of length, diameter, nano, micro and bulk as influencing factors. While the influence factors held in the form description database 12 represent the shape and state of the substance, the size description database 13 holds influence factors representing the size of the shape and state. Note that while the exemplified "length" and "diameter" are influence factors that can give absolute values, "nano", "micro" and "bulk" are not pinpoint absolute values, but a certain range of values. is an influencing factor that represents The former is such an influencing factor because it may be included as a variable in, for example, a mathematical formula defining physical property parameters and exhibit a quantitative relationship. On the other hand, the latter is, for example, a factor that expresses the size of the substance in such a case, because properties that were not expressed in the bulk state may first appear when it becomes a nano-sized fine structure. . In this way, both are influencing factors that represent the shape and size of the state of a substance, so an embodiment in which the same size description database 13 is used was exemplified. It may be configured to hold

As a result, the influencing factor database 8 is divided into lower-level databases with different concepts, improving user convenience when using the contribution of influencing factors of physical property parameters related to measurement methods to display or narrow down search results. can do.

FIG. 10 is an explanatory diagram showing a display example of information on the measurement method by graph expansion according to the second embodiment. In addition to the display example shown in FIG. 3, a display example regarding the contribution of the influencing factors is added. Similar to FIG. 3, a subgraph 21 indicating the search result output from the graph search unit 4, a new node corresponding to the method of measuring the physical property parameter corresponding to the node included in the subgraph 21, the new node and the subgraph A new edge 22 between 21 and 21 has been added. In FIG. 10, nodes corresponding to the influencing factors contained in the influencing factor database 8 are also displayed, and new edges 23 are added between nodes corresponding to related physical property parameters.

FIG. 11 is an explanatory diagram showing another display example of information on the measurement method by graph expansion according to the second embodiment. This is a display example when the physical property measurement method database 6 includes influencing factors 34 related to the measurement principle in addition to the physical property parameters 33 used by the measurement principle. In addition to the display example shown in FIG. 5, a new node corresponding to the temperature included in the environment description database among the influencing factors is added, and the physical property parameters, work function and electron emission rate in the display example shown in FIG. New edges 23 have been added between those nodes and the node corresponding to temperature to show the temperature dependence.

[Embodiment 3]
FIG. 12 is a block diagram showing a configuration example of the search system 10 according to the third embodiment.

Similar to the search system 10 according to the first embodiment shown in FIG. 5 , a physical property measurement method database 6 , a graph extension unit 7 , and a user measurement method database 9 . The search system 10 according to the second embodiment shown in FIG. 9 may further include an influence factor database 8 .

The user measurement method database 9 is held for each user, and in addition to the measurement methods stored in association with each other and the physical property parameters to be measured, information on the measurement equipment for the user to execute the measurement method. and/or information on the measurement results obtained by the measurement method is further associated and stored. For example, it is information about measuring instruments and equipment owned by the user, presence or absence of measurement data obtained in the past, and the like. Other configurations are the same as those of Embodiments 1 and 2, and detailed description thereof will be omitted.

As a result, the user-specific information regarding the measurement method is integrated, and the convenience for the user can be further enhanced with regard to the support function provided for specifying the optimum route or the like from the search results. For example, when displaying a plurality of routes included in the search results, it is possible to refer to the user measurement method database 9 and preferentially display a measurement method that is easy for the user to use.

[Embodiment 4]
FIG. 13 is a block diagram showing a configuration example of the search system 10 according to the fourth embodiment.

A search system 10 according to the fourth embodiment includes a physical property parameter relationship graph 15 , a graph search section 4 , a user interface 5 , a physical property measurement method database 6 , and a graph extension section 7 . FIG. 13 shows a configuration example further including an environmental factor database 8 and a user measurement method database 9, but these two are not essential configurations, but merely configurations that can be added as appropriate. Details will be described later.

The physical property parameter relationship graph 15 is a graph in which each of a plurality of physical property parameters included in a plurality of parameter pairs of physical property parameters having a relationship is defined as a node, and the nodes corresponding to each of the plurality of parameter pairs are defined as edges. be. Unlike the search systems of the first to third embodiments described so far, the search system 10 of the fourth embodiment includes a physical property parameter relationship database 1 and a graph generation unit 2, and the route search of the graph 3 is performed. It does not assume that it has been done in advance.

Here, a plurality of physical property parameters included in the above "a plurality of parameter pairs of physical property parameters having a relationship" are referred to as first physical property parameters. The "plurality of parameter pairs" and the "first physical property parameters" are the "plurality of parameter pairs" stored in the physical property parameter relationship database 1 described in Embodiments 1 to 3 and the physical property parameters that constitute them. Synonymous.

The physical property measurement method database 6 associates and stores one or more measurement methods and physical property parameters to be measured. This physical property parameter to be measured is called a second physical property parameter. Furthermore, one or more physical property parameters used by the measurement principle on which the measurement method is based are referred to as third physical property parameters, and the third physical property parameters are also associated with the measurement method and stored in the physical property measurement method database 10. do. The physical property measurement method database 10 may further store the relationship between the second physical property parameter and the third physical property parameter in association with each measurement method. In order for a measurement method to utilize a third physical parameter to determine the value of a second physical parameter, the measurement principle must define a relationship between them. Therefore, the relationship is also stored in the physical property measurement method database 10 . Here, the relationship may be a relationship that is strictly defined by a formula or the like, but it may also be a relationship that defines only the presence or absence of a dependency relationship. Even if the relationship used in the measurement principle is strictly defined by a mathematical formula or the like, the relationship stored in the physical property measurement method database 10 may simply be the presence or absence of a dependency relationship.

The graph extension unit 7 is configured to be able to add each measurement method stored in the physical property measurement method database 6 to the physical property parameter relationship graph 15 as a new node. The graph extension unit 7 further adds a new node between the node corresponding to the second and third physical property parameters stored in association with each measurement method and the newly added node corresponding to the measurement method. Add edges. Note that the description in this embodiment is based on the premise that the first physical property parameter is exhaustive and includes the second and third physical property parameters. It is self-evident that the mutual relationship between the second physical parameter to be measured in a known measurement method and the third physical parameter used in the measurement principle is known, and that relationship is known. This is because it is also self-evident that it is the first physical property parameter that constitutes the parameter pair. Even if one or both of the second and third physical property parameters stored in the physical property measurement method database 10 are not included in the first physical property parameters, the first physical property parameters stored in the physical property measurement method database 10 The second and third physical parameters may be added to the first physical parameter as a related parameter pair.

The graph search unit 4 searches for a subgraph within a predetermined range starting from a node corresponding to one or more measurement methods specified via the user interface 5, and outputs the search result via the user interface 5 configured to be able to output

As a result, it is possible to search for physical properties starting from the measurement method even before the physical property search for Graph 3 is performed. Therefore, it is possible to provide highly practical knowledge and improve the convenience of the search system. When the user designates a measurement method, the values of physical property parameters that can be measured by that measurement method are output. Furthermore, the existence of other physical property parameters whose values cannot be measured directly by the measurement method but whose relationship is used in the measurement principle can be known. For this reason, it is possible to provide a user who does not have sufficient knowledge about the measurement method with a new opportunity to notice.

An application example of the present embodiment will be described with reference to FIG. Reference numeral 21 denotes a part of a graph formed by first physical property parameters, which are physical property parameter pairs having a relationship with each other. If there is a relationship between two physical property parameters, the corresponding nodes are connected by an edge, but in FIG. 4 the edge between the first physical property parameters is omitted from the illustration . A node corresponding to each measurement method stored in the physical property measurement method database 6 is added to the area surrounded by reference numeral 6 . Between the node corresponding to the measurement method and the second physical property parameter to be measured by the measurement method, and between the third physical property parameter used by the measurement principle of the measurement method, new An edge 22 has been added. Although omitted in FIG. 4, not only the second and third physical property parameters connected to the node of the measurement method, but also nodes within a predetermined range from the node may be included in the display object. Physical properties that are not directly subject to measurement because they have not been established as a measurement method, but can be analytically determined from the measurement results of known measurement methods by using the relationship defined for the first physical property parameter. There may be parameters, and the output of the present embodiment may provide the user with such awareness opportunities. Furthermore, even physical parameter values that cannot be determined by a single measurement method may be analytically determined by combining a plurality of measurement methods. The output of the present embodiment can provide the user with an opportunity to notice even in such cases.

The search system 10 of this embodiment may further include either one or both of the environmental factor database 8 and the user measurement method database 9 .

A configuration example in which an environmental factor database 8 is added to the search system 10 described above will be described. The environmental factor database 8 is similar to that described in the second embodiment. A detailed description will be omitted since it will be redundant.

The physical property measurement method database 6 associates and stores the measurement methods, the second and third physical property parameters, and their relationships as described above. memorize.

As explained in the second embodiment, the measurement method often has some preconditions in its measurement principle. For example, when the relationship between the second physical parameter of the object to be measured and the third physical parameter contributing to the measurement principle is represented by an approximate expression, the range (for example, temperature range, voltage range, etc.) in which the approximate expression holds is May exist. In addition, the specifications required for the shape and size of the sample are generally stipulated for the measurement. In this embodiment, such preconditions can also be stored in the physical property measurement method database 6 . Furthermore, the physical property measurement method database 6 does not need to strictly store such preconditions, and may store only the presence or absence of causal relationships. For example, if there is a temperature range in which an approximation formula holds, there is no need to memorize specific numerical values for that temperature range. may be stored. However, if such causal relationships are not measurement-specific, they may be stored in the environmental factor database 8 .

In addition to the nodes and edges added corresponding to each measurement method stored in the physical property measurement method database 6, the graph extension unit 7 adds influence factors related to the relationships used by the measurement principles on which each measurement method is based. can be added to the physical property parameter relationship graph 15 as a new node. The graph extension unit 7 adds new edges between the added new nodes and the nodes corresponding to the second and/or third physical property parameters whose relationships are defined by the relationships.

The graph search unit 4 searches for a subgraph within a predetermined range starting from a node corresponding to one or more measurement methods specified via the user interface 5, and outputs the search result via the user interface 5 configured to be able to output At this time, the user interface 5 is configured so that the added new nodes and edges can also be added and displayed.

This makes it possible to visualize the environmental factors that are premised in the measurement principle on which each measurement method is based, further improve the visibility of information related to the measurement method, and further improve the convenience of the search system. .

As described above, the physical property measurement method database 6 preferably stores related influencing factors in association with measurement methods, but the storage of related influencing factors may be omitted. Using the relationships between physical property parameters and influencing factors stored in the environmental factor database 8 as they are, influencing factors having relationships with the second and third physical property parameters corresponding to the measurement method can be identified. It is from. However, in this case, it indicates whether or not there is a general relationship between physical properties and influencing factors, and cannot indicate conditions specific to the measurement method.

A configuration example in which a user measurement method database 9 is added to the search system 10 will be described. It may be added together with the environmental factor database 8 described above. An example of adding both is shown in FIG.

The user measurement method database 9 stores the measurement method and the physical property parameter to be measured in association with each other, as well as information on the measurement equipment for the user to perform the measurement method and/or the measurement Information on the measurement results obtained by the method is further associated and stored.

As a result, the user-specific information regarding the measurement method is integrated, and the convenience for the user can be further enhanced with respect to the support function provided for specifying the optimum route or the like from the search results.

The specific configuration of the user measurement method database 9 and the operational effects of providing this in the search system 10 are the same as those described in the third embodiment, so detailed description will be omitted.

[Embodiment 5] <Search method>
The search system 10 of the present invention described in Embodiments 1 to 4 as described above includes a storage device and a computer, as described in the "hardware/software implementation" of Embodiment 1 with reference to FIG. Functions can be constructed as software on a hardware system. Therefore, the present invention can be positioned as a search method using a hardware system having a storage device and a computer.

FIG. 14 is a flow chart showing one configuration example of a search method according to the present invention.

The search method of the present invention is implemented by software that operates on a computer having a storage device, and includes a graph generation step (S1) that refers to a physical property parameter relationship database 1, a search condition input step (S2), and a graph search step. (S3) and a search result output step (S4).

The physical property parameter relationship database 1 holds a plurality of parameter pairs of related physical property parameters in the storage device 102 of FIG. 8, for example. In the graph generation step (S1), a graph (graph 3 in FIG. , not shown in FIG. 14). The graph search step (S3) searches the graph based on the search condition given from the search condition input step (S2), and obtains one or more paths or portions composed of a plurality of nodes and a plurality of edges satisfying the search condition. A graph is output as a search result (S4).

The search method of the present invention further comprises a physical property measurement method database 6 that associates and stores the measurement method and the physical property parameter to be measured, and the search result output step (S4) refers to the physical property measurement method database 6. Accordingly, information regarding the measurement method associated with the search result can be output together with the search result.

As a result, it is possible to provide users who do not have sufficient knowledge of measurement methods with highly practical knowledge in searching for physical properties, and to provide a highly convenient search method. In particular, when identifying a substance having a target physical property, by enabling examination of measurement methods for confirming the values of physical property parameters that are included in or in the vicinity of paths obtained as search results, A user can be provided with a support function for identifying an optimal route or the like.

The physical property parameter relationship database 1 and the physical property measurement method database 6 may be held in the same storage device or in different storage devices.

FIG. 15 is a flow chart showing a modification of the search method. The search method of the present invention may further comprise a graph expansion step (S5).

A plurality of physical property parameters stored as a plurality of parameter pairs in the physical property parameter relationship database 1 are defined as first physical property parameters, included in the first physical property parameters, and stored in the physical property measurement method database 6 as measurement targets of the measurement method. The physical parameter is called a second physical parameter. The graph expansion step (S5) adds new nodes corresponding to the measurement methods stored in the physical property measurement method database 6 to the above graph, and expands the nodes corresponding to the second physical property parameters corresponding to the respective measurement methods and the new nodes. add a new edge between nodes.

The search result output step (S4) displays those of the new nodes and edges that are related to the search results of the graph search step (S3) together with one or more paths or subgraphs that are the search results. More specifically, among the new nodes and edges, those that are connected to one or more paths or subgraphs that are search results are displayed.

As a result, in the same manner as described with reference to FIGS. 3 and 4 in the first embodiment, it is possible to provide a search method with improved visibility of information on the measurement method and further improved convenience.

The physical property measurement method database 6 may further store one or more physical property parameters used by the measurement principle on which the stored measurement methods are based as third physical property parameters. Further, the relationship between the second physical property parameter to be measured and the third physical property parameter used by the measurement principle may be stored in the physical property measurement method database 6 in association with each measurement method. In the graph expansion step (S5), between the node added in association with the measurement method and the node corresponding to the third physical property parameter stored in the physical property measurement method database 6 as corresponding to the measurement method, a new add sharp edges. In the search result output step (S4), among the new edges added in the graph extension step (S5), edges connected to nodes included in the search result of the graph search step (S3) are added together with the search result. indicate.

Thus, in the same manner as described in Embodiment 1 with reference to FIGS. Awareness opportunities can be provided to the user when obtained by analyzing the measurement results of the method.

The search method of the present invention may further include an influence factor database 8, as shown in FIG. The influence factor database 8 may be held in the same storage device as the physical property parameter relationship database 1 and the physical property measurement method database 6, or may be held in a different storage device.

At least one physical property parameter among a plurality of physical property parameters stored in the influencing factor database 8 and the physical property measurement method database 6, one or more influencing factors on which the physical property parameter depends, and a dependence indicating the dependence relationship The information is stored in association with sexuality information.

In addition to the measurement methods, the second and third physical property parameters, and their relationships, which are stored in association with each other, the physical property measurement method database 6 further associates and stores influence factors related to the relationships.

In the graph expansion step (S5), the graph expanded with reference to the physical property measurement method database 6 as described above is further expanded by referring to the influence factor database 8. FIG. That is, in addition to the nodes and edges added corresponding to each measurement method stored in the physical property measurement method database 6, influence factors related to the measurement principle on which each measurement method is based are further added as new nodes. Also, between the new node added here and the node corresponding to the second and / or third physical property parameter whose relationship is defined by the relationship used by the measurement principle on which the measurement method is based, Add a new edge.

In the search result output step (S4), among the new nodes and new edges thus added, those related to the search result are displayed together with the search result.

As a result, in the same way as described in the second embodiment, the environmental factors assumed in the measurement principle on which each measurement method is based are visualized, and the visibility of information related to the measurement method is further improved. A search method with improved convenience can be provided.

It is more preferable that the influence factor database 8 is divided into each subordinate concept influence factor like the environment description database 11, the morphology description database 12, and the size description database 13. FIG. The action and effect of adopting such a configuration for the influence factor database 8 are the same as those described with reference to FIG. 10 in the second embodiment. A detailed description is omitted because it is repetitive.

The search method of the present invention may further include a user measurement method database 9 instead of or in addition to the influence factor database 8 . The user metrics database 9 may be held in the same storage device as the other databases, or may be held in a different storage device.

The user measurement method database 9 is held for each user in the same manner as described in the third embodiment, and in addition to the measurement method and the physical property parameter to be measured that are stored in association with each other, the user's Information on the measurement equipment for executing the measurement method and/or information on the measurement results obtained by the measurement method are further associated and stored.

As a result, the user-specific information regarding the measurement method is integrated, and the convenience for the user can be further enhanced with respect to the support function provided for specifying the optimum route or the like from the search results.

The specific configuration of the user measurement method database 9 and the operational effects of providing this in the search system 10 are the same as those described in the third embodiment, so detailed description will be omitted.

FIG. 16 is a flow chart showing another configuration example of the search method according to the present invention.

The search method of the present invention is implemented by software operating on a computer having a storage device, and is stored in the storage device according to the search conditions input from the search condition input step (S2, not shown in FIG. 16). A graph search step (S3) for searching the physical property parameter relationship graph 15 is provided.

In the physical property parameter relationship graph 15, as described in the fourth embodiment, each of a plurality of physical property parameters included in a plurality of parameter pairs of physical property parameters having a relationship is set as a node, and each of the plurality of parameter pairs is a graph in which edges are between nodes corresponding to . Here, a plurality of physical property parameters included in the plurality of parameter pairs are defined as first physical property parameters.

This search method further comprises a physical property measurement method database 6 and a graph expansion step (S5) that refers to it. The physical property measurement method database 6 may be stored in the same storage device as the storage device that stores the physical property parameter relationship graph 15, or may be stored in another storage device.

As described in the fourth embodiment, the physical property measurement method database 6 associates and stores the measurement method with the physical property parameter to be measured. This physical property parameter to be measured is called a second physical property parameter. Furthermore, the physical property measurement method database 6 may store one or more physical property parameters used by the measurement principle on which the measurement method is based, in association with the measurement method. A physical parameter used by the measurement principle on which the measurement method is based is called a third physical parameter. At this time, the relationship between the second physical property parameter and the third physical property parameter in the measurement principle may be further stored in the physical property measurement method database 6 in association with the measurement method.

In the graph expansion step ( S<b>5 ), each measurement method stored in the physical property measurement method database 6 is set as a new node and added to the physical property parameter relationship graph 15 . In the graph expansion step (S5), a new add sharp edges.

In the graph search step (S3), a subgraph within a predetermined range starting from a node corresponding to one or more measurement methods specified in the measurement method information request step (S6) is output as a search result (S4 ).

As a result, in the same manner as described in the fourth embodiment, instead of the search starting from the physical property parameter, it is possible to search starting from the measurement method, and the convenience of the search method can be improved. can. For example, even if a physical property value cannot be determined directly from known measurement methods, the user can use an indirect measurement method that can be analytically determined by combining multiple measurement methods. It is a support function for learning

The search method may further comprise either one or both of an influence factor database 8 and a user metrics database 9 . These databases may be stored on the same or different storage devices as each other or other databases.

As described above, the influencing factor database 8 includes at least one physical property parameter among the plurality of physical property parameters stored in the physical property measurement method database 6, one or more influencing factors on which the physical property parameter depends, It is stored in association with dependency information indicating the dependency. In addition to the measurement methods, the second and third physical property parameters, and their relationships, which are stored in association with each other, the physical property measurement method database 6 may further associate and store an influencing factor related to the relationship. .

In the graph expansion step (S6), in addition to the nodes and edges added corresponding to each measurement method stored in the physical property measurement method database 6, influence factors related to the measurement principle on which each measurement method is based are further newly added. node is added to the physical property parameter relationship graph 15 . Also, in the graph expansion step (S6), between the new node added here and the node corresponding to the second and/or third physical property parameter whose relationship is defined corresponding to the corresponding measurement method Add a new edge.

In the graph search step (S3), a subgraph within a predetermined range starting from a node corresponding to one or more measurement methods specified in the measurement method information request step (S6) is output as a search result (S4 ).

This makes it possible to visualize the environmental factors that are premised in the measurement principle on which each measurement method is based, to further improve the visibility of information related to measurement methods, and to provide a more convenient search method. can.

The user measurement method database 9 contains information on measurement equipment for the user to perform the measurement method stored in the physical property measurement method database 6, and/or information on measurement results obtained by the measurement method. Information is associated and stored for each user.

In the graph search step (S3), a subgraph within a predetermined range starting from a node corresponding to one or more measurement methods specified in the measurement method information request step (S6) is output as a search result (S4 ).

As a result, the user-specific information regarding the measurement method is integrated, and the convenience for the user can be further enhanced with respect to the support function provided for specifying the optimum route or the like from the search results. For example, when displaying a plurality of routes included in the search results, it is possible to refer to the user measurement method database 9 and preferentially display a measurement method that is easy for the user to use.

Although the invention made by the present inventor has been specifically described based on the embodiments, the present invention is not limited thereto, and it goes without saying that various modifications can be made without departing from the gist of the invention.

1 Property Parameter Relationship Database 2 Graph Generation Part 3 Graph 4 Graph Search Part 5 User Interface 6 Property Measurement Method Database 7 Graph Extension Part 8 Influence Factor Database 9 User Measurement Method Database 10 Search System 11 Environment Description Database 12 Morphology Description Database 13 Size Descriptive database 15 Property parameter relationship graph 21 Search results 22 Edges added based on relationships between measurement methods and search results 23 Edges added based on relationships between influencing factors and search results 30 Physical property measurement database input form for 31 measurement method 32 physical property parameter of object to be measured 33 physical property parameter used by measurement principle 34 influence factor involved in measurement principle 100 server 110, 120 workstation 101, 111, 121 computer 102, 112, 122 storage device 103, 113, 123 network interface 104, 114, 124 input unit 105, 115, 125 display unit 200 network

Claims (16)

A search system comprising a physical property parameter relationship database, a graph generation unit, a graph search unit, and a user interface,
The physical property parameter relationship database stores a plurality of parameter pairs of physical property parameters having a relationship,
The graph generation unit can generate a graph in which each of the plurality of physical property parameters included in the plurality of parameter pairs is set as a node, and the nodes corresponding to each of the plurality of parameter pairs are set as edges. configured,
The graph search unit is configured to search the graph based on a search condition given via the user interface and output a search result via the user interface, and the search result is the One or more paths or subgraphs composed of a plurality of nodes and a plurality of edges that satisfy a search condition;
The search system further comprises a physical property measurement database,
The physical property measurement method database stores one or more measurement methods and physical property parameters to be measured in association with each other,
The user interface is configured to be able to output information about the measurement method related to the search result together with the search result by referring to the physical property measurement method database.
search system. 2. In claim 1, the plurality of physical property parameters stored as the plurality of parameter pairs in the physical property parameter relationship database are defined as first physical property parameters, and the one or A physical property parameter stored as a measurement target of a plurality of measurement methods is used as a second physical property parameter, and the search system further comprises a graph expansion unit,
The graph extension unit adds a new node to the graph corresponding to each of the one or more measurement methods stored in the physical property measurement method database, and adds a new node to the graph corresponding to each of the measurement methods stored in the physical property measurement method database. configured to add a new edge between a node in the graph corresponding to two physical parameters and the new node,
The user interface includes edges connected to nodes included in the one or more paths or subgraphs that are the search results, among the new nodes and the new edges added corresponding to the measurement method, and displaying the connected nodes along with the search results;
search system. In claim 2, the physical property measurement method database further associates one or more physical property parameters used by the measurement principle based on each of the one or more measurement methods with the measurement methods as third physical property parameters. remember,
The graph extension unit includes the new node added to the graph corresponding to each of the one or more measurement methods, and the third node stored in the physical property measurement method database in association with the measurement method. A new edge can be further added between the node in the graph corresponding to the physical property parameter of
The user interface can further add and display edges connected to nodes included in the one or more paths or subgraphs that are the search results, among the new edges that have been added. consists of
search system. In claim 3, factors other than physical property parameters that affect physical properties are influencing factors, and the search system further comprises an influencing factor database,
The physical property measurement method database stores at least one physical property parameter of the second and third physical property parameters in association with one or more influencing factors on which the physical property parameter depends,
In addition to the nodes and edges added corresponding to the respective measurement methods stored in the physical property measurement method database, the graph extension unit further adds new nodes for influencing factors involved in the measurement principle on which each measurement method is based. and a node corresponding to the second and / or third physical property parameter whose relationship is defined by the relationship as a new edge, which can be added to the graph,
wherein the user interface is configured to be able to add and display the new node and the new edge;
search system. 5. The system of any one of claims 1-4, wherein the search system further comprises a user metrics database for each user,
The user measurement method database includes the measurement method and the physical property parameter to be measured, which are stored in the physical property measurement method database in association with each other, as well as information on the measurement equipment for the user to execute the measurement method. , and/or further associates and stores information about the measurement results obtained by the measurement method;
search system. A search system comprising a physical property parameter relationship graph, a graph search unit, and a user interface, wherein the physical property parameter relationship graph includes each of a plurality of physical property parameter pairs included in a plurality of related physical property parameter pairs. A graph having nodes as nodes and edges between nodes corresponding to each of the plurality of parameter pairs, wherein a plurality of physical property parameters included in the plurality of parameter pairs are set as first physical property parameters, and the search system is a physical property measurement method further comprising a database and a graph extension;
The physical property measurement method database stores one or more measurement methods and physical property parameters to be measured in association with each other, the physical property parameter to be measured is used as a second physical property parameter, and the measurement method is used as a basis One or more physical property parameters used by the measurement principle are associated with the measurement method as third physical property parameters, further stored in the physical property measurement method database, and the relationship between the second physical property parameter and the third physical property parameter is associated with the measurement method and further stored in the physical property measurement method database,
The graph extension unit adds a new node to the physical property parameter relationship graph corresponding to each of the one or more measurement methods stored in the physical property measurement method database, and associates it with each measurement method. configured to add a new edge between a node in the physical property parameter relationship graph corresponding to the stored second and third physical property parameters and the new node;
The graph search unit outputs a subgraph within a predetermined range starting from a node corresponding to one or more measurement methods designated via the user interface as a search result via the user interface. configured to allow
search system. In claim 6, factors other than physical property parameters that affect physical properties are influencing factors, and the search system further comprises an influencing factor database,
The physical property measurement method database stores at least one physical property parameter of the second and third physical property parameters in association with one or more influencing factors on which the physical property parameter depends,
In addition to the nodes and edges added corresponding to the respective measurement methods stored in the physical property measurement method database, the graph extension unit further adds new nodes for influencing factors involved in the measurement principle on which each measurement method is based. and a node corresponding to the second and/or third physical property parameter whose relationship is defined by the relationship can be added to the physical property parameter relationship graph as a new edge. ,
wherein the user interface is configured to be able to add and display the new node and the new edge;
search system. 8. The search system of claim 6 or claim 7, further comprising a user metrics database for each user,
The user measurement method database includes the measurement method and the physical property parameter to be measured, which are stored in the physical property measurement method database in association with each other, as well as information on the measurement equipment for the user to execute the measurement method. , and/or further associates and stores information about the measurement results obtained by the measurement method;
search system. A search method implemented by software running on a computer having a storage device and comprising a graph generation step referring to a physical property parameter relationship database stored in the storage device, a measurement method information request step, and a graph search step. There is
The physical property parameter relationship database stores a plurality of parameter pairs of physical property parameters having a relationship,
The graph generation step generates a graph in which each of the plurality of physical property parameters included in the plurality of parameter pairs is set as a node and between the nodes corresponding to each of the plurality of parameter pairs is set as an edge,
The graph searching step searches the graph based on the information-requested metric given from the metric information requesting step, and includes one or more nodes and edges that satisfy given search conditions. Output the path or subgraph as the search result,
The search method further includes a physical property measurement method database stored in the storage device or another storage device, and the physical property measurement method database associates one or more measurement methods with physical property parameters to be measured. and remember
The search method outputs information about a measurement method related to the search result together with the search result by referring to the physical property measurement method database.
exploration method. 10. In claim 9, the plurality of physical property parameters stored as the plurality of parameter pairs in the physical property parameter relationship database are defined as first physical property parameters, and are included in the first physical property parameters, and the one or One or more physical property parameters corresponding to each of a plurality of measurement methods as a measurement target are defined as second physical property parameters, and the search method further comprises a graph expansion step,
The graph expansion step adds each measurement method stored in the physical property measurement method database to the graph as a new node, and creates an edge between the new node and the node corresponding to the corresponding second physical property parameter. add,
The search method includes, among the new nodes and the new edges added corresponding to the measurement method, edges connected to nodes included in the one or more paths or subgraphs that are the search results and displaying the connected nodes along with the search results;
exploration method. 11. In claim 10, the physical property measurement method database further associates one or more physical property parameters used by the measurement principle based on each of the one or more measurement methods with the measurement methods as third physical property parameters. remember,
In the graph expansion step, the new node added to the graph corresponding to each of the one or more measurement methods and the third node stored in the physical property measurement method database in association with the measurement method further add new edges between the nodes in the graph corresponding to the physical parameters of
The search method further adds and displays edges connected to nodes included in the one or more paths or subgraphs that are the search results, among the new edges that are further added.
exploration method. 12. The search method of claim 11, further comprising an influence factor database stored in the storage device or another storage device,
The physical property measurement method database stores at least one physical property parameter of the second and third physical property parameters in association with one or more influencing factors on which the physical property parameter depends,
In the graph expansion step, in addition to the nodes and edges added corresponding to each measurement method stored in the physical property measurement method database, influence factors related to the measurement principle on which each measurement method is based are further added to new nodes. and add to the graph as a new edge between nodes corresponding to the second and/or third physical property parameters whose association is defined by the relationship,
The search method adds and displays the new node and the new edge.
exploration method. 13. The method of any one of claims 9 to 12, wherein the search method further comprises a user metrics database for each user stored in the storage device or other storage device;
The user measurement method database includes the measurement method and the physical property parameter to be measured, which are stored in the physical property measurement method database in association with each other, as well as information on the measurement equipment for the user to execute the measurement method. , and/or further associates and stores information about the measurement results obtained by the measurement method;
search system. A search method implemented by software operating on a computer having a storage device and comprising a graph search step of searching a physical property parameter relationship graph stored in the storage device according to search conditions input from the search condition input step. There is
The physical property parameter relationship graph is a graph in which each of a plurality of physical property parameters included in a plurality of parameter pairs of physical property parameters having a relationship is set as a node, and the nodes corresponding to each of the plurality of parameter pairs are set as edges. and a plurality of physical property parameters included in the plurality of parameter pairs are defined as first physical property parameters,
The search method further comprises a physical property measurement method database stored in the storage device or another storage device, and a graph expansion step of referring to the physical property measurement method database,
The physical property measurement method database stores one or more measurement methods and physical property parameters to be measured in association with each other, the physical property parameter to be measured is used as a second physical property parameter, and the measurement method is the basis. One or more physical property parameters used by the measurement principle are associated with the measurement method as third physical property parameters, further stored in the physical property measurement method database, and the relationship between the second physical property parameter and the third physical property parameter property is further stored in the physical property measurement method database in association with the measurement method;
The graph expansion step adds new nodes to the physical property parameter relationship graph corresponding to each of the one or more measurement methods stored in the physical property measurement method database, and associates the nodes with the respective measurement methods. adding a new edge between the node in the physical property parameter relationship graph corresponding to the stored second and third physical property parameters and the new node;
In the graph search step, a subgraph within a predetermined range starting from a node corresponding to one or more specified measurement methods is output as a search result.
exploration method. 15. The method of claim 14, further comprising an influence factor database stored on the storage device or other storage device;
The physical property measurement method database stores at least one physical property parameter of the second and third physical property parameters in association with one or more influencing factors on which the physical property parameter depends,
In the graph expansion step, in addition to the nodes and edges added corresponding to each measurement method stored in the physical property measurement method database, influence factors related to the measurement principle on which each measurement method is based are further added to new nodes. and add to the physical property parameter relationship graph as a new edge between nodes corresponding to the second and / or third physical property parameters whose relationship is defined by the relationship,
The search method adds and displays the new node and the new edge.
exploration method. 16. The method of claim 14 or 15, wherein the search method further comprises a user metrics database for each user stored in the storage device or another storage device;
The user measurement method database includes the measurement method and the physical property parameter to be measured, which are stored in the physical property measurement method database in association with each other, as well as information on the measurement equipment for the user to execute the measurement method. , and/or further associates and stores information about the measurement results obtained by the measurement method;
exploration method.

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