JP7082414B2 - Search system and search method - Google Patents

Description

The present invention relates to a search system and a search method using a database, and can be suitably used for searching a relationship between a plurality of physical property parameters.

The goal of prediction and design in material research is to identify materials with the desired properties. For this reason, the method that has been widely used from the past is a method that aims to identify a material having a desired property from a condition-characteristic chart. This involves creating a chart by observing changes in characteristics when only one specific condition out of multiple conditions is changed, and interpolating or extrapolating the chart to find the condition with the desired characteristics. , A method of identifying a material that matches it. The term "chart" here is synonymous with "graph" that represents a line graph or the like, but another term is used for the purpose of distinguishing it from "graph" that is composed of nodes and edges, which will be described later.

At this time, the change in characteristics when only one specific condition out of a plurality of conditions is changed is often obtained by conducting an experiment by oneself. This is because it is difficult to obtain a large amount of data in which all the conditions other than the above specific conditions are the same even if a large number of documents are searched.

Patent Document 1 discloses a search system capable of objectively searching for information on constituent substances of a new material having desired properties. The search system disclosed in the same document includes a database having a plurality of physical property parameter information for each of a plurality of (many) substances. At this time, the database may have physical property parameters for which actual data is not given depending on the substance. A two-dimensional or three-dimensional or higher space is created with the physical property parameter to be searched as one axis and a part of the other physical property parameters as the other axis, and each substance in the above database is mapped. At this time, the physical property parameters for which there is no actual data are supplemented by virtual data predicted by 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, it is said that a substance having a desired characteristic is specified based on a predetermined rule.

Patent Document 2 describes a search system capable of searching for an unknown combination of physical property parameters having a significant relationship based on an already known relationship among arbitrary combinations of a plurality of physical property parameters. And the search method 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 multiple pairs of physical characteristic parameters that are related to each other, and the graph generator uses multiple pairs of physical characteristic parameters stored in the database as nodes and edges between the nodes corresponding to the pairs of physical characteristic parameters that are related to each other. To generate a graph. The graph search unit searches for the graph generated by the graph generation unit based on the given search conditions, and outputs the search result.

In Patent Document 3, similar to the above-mentioned Patent Document 2, in the search 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 search system and a search method that can be performed are disclosed. As for the relationship between a plurality of physical property parameters, as in Patent Document 2, the physical property information and its relationship are described in a graph in which a plurality of physical property parameters are used as nodes and the nodes corresponding to the related physical property parameter pairs are used as edges. Ancillary information of is given to the node and / or edge as its attribute. Using that attribute, the priority of the route extracted as a result of the search is obtained, and the results are output in descending order of priority.

Japanese Unexamined Patent Publication No. 2007-18444 International release WO 2017/221444 International release WO2018 / 159237

As a result of the examination by the present inventor regarding Patent Documents 1, 2 and 3, it was found that there are the following new problems.

In the technique described in Patent Document 1, in order to predict virtual data, the relationship between a plurality of physical property parameters is used, but the relationship is limited to the already known relationship.

On the other hand, the inventor of the present application was unknown because the number of physical property parameters becomes enormous when viewed across many technical fields, but in fact, it is possible to extract a significant relationship. As a solution to this problem, we proposed a search system disclosed in Patent Document 2.

According to the search system and search method shown in Patent Documents 2 and 3, it is possible to search across all fields including fields having low mutual relation, and the physical property parameters having a significant relationship are unknown. Combinations can be extracted. The extraction results are extracted in various forms by combining the causal side physical property parameters and the result side physical property parameters having a relationship. For example, a plurality of 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, and conversely, within a predetermined range to the result side physical property parameter. It is a set of physical characteristic parameters on the cause side. For example, when a user who searches for a material aims to identify a material having a desired characteristic, all the physical property parameters in the path from the cause side physical property parameter to the result side physical property parameter satisfy a predetermined specification. Will aim 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.

In this study, the present inventor often needs to consider the contribution of factors other than the extracted physical characteristic parameters in order to specify the target substance / material, that is, other than the physical characteristic parameters. It was found that there are factors that are particularly important for the search for physical properties. This is because the strength of the relationship between physical properties may change depending on the environment in which the material / material is placed, and the importance of the physical property to be searched may change depending on the form and size of the material / material. As described above, a factor that is not a physical property parameter but has an influence on the physical property is referred to as an "influence factor" in the present specification.

An object of the present invention is to make it possible to reflect the contribution of non-physical influential factors in a search in a physical property search system for searching a graph in which pairs of related physical property parameters are associated with node pairs connected by edges. It is to provide a search support function.

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

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

That is, it is a search system including a physical characteristic parameter relationship database, a graph generation unit, a graph search unit, an influence factor database, an influence determination unit, and a search result output unit, and is configured as follows.

The physical characteristic parameter relationship database stores a plurality of parameter pairs of physical characteristic parameters having a relationship. The graph generator generates a graph in which each of the plurality of physical property parameters included in the plurality of parameter pairs stored in the physical characteristic parameter relationship database is used as a node, and the nodes corresponding to each of the plurality of parameter pairs are used as edges. do. The graph search unit is configured to search for a graph generated based on a given search condition and output the search result. Here, the search result is one or more paths or subgraphs composed of a plurality of nodes and a plurality of edges satisfying a given search condition.

The influence factor database stores at least one physical property parameter among the plurality of physical property parameters, one or more influential factors to which the physical property parameter has a dependency, and dependency information indicating the dependency relationship in association with each other. do. Here, the influencing factor is a factor other than the physical property parameter and influences the physical property parameter.

By referring to the influence factor database, the influence determination unit determines whether or not the physical characteristic parameters corresponding to the nodes included in the search result are dependent on at least one influence factor, and the search result output unit determines whether or not the physical property parameters are dependent on at least one influence factor. Along with the search result, it is configured so that the combination of the physical characteristic parameter and the influential factor determined by the influence determination unit to have a dependency and the dependency information can be output. Here, "output" includes "display" in one aspect thereof, but is not limited to "display".

The effects obtained by the above embodiment will be briefly described as follows.

That is, in a physical property search system that searches a graph in which a pair of related physical property parameters is associated with a node pair connected by an edge, it is possible to reflect the influence of a factor (influence factor) that is not a physical property in the search. It is possible to provide a search support function.

FIG. 1 is a block diagram showing a configuration example of the search system according to the first embodiment. FIG. 2 is an explanatory diagram showing a configuration example of a physical characteristic parameter relationship database and an influential factor database. FIG. 3 is an explanatory diagram for displaying the dependency information of the influential factors by the search system according to the second embodiment. FIG. 4 is an explanatory diagram showing an example of display focusing on the dependency relationships of the designated influencing factors. FIG. 5 is an explanatory diagram showing another display example in which the dependent relationships of the designated influential factors are displayed. FIG. 6 is an explanatory diagram showing an example of a mode for displaying dependency information of an influencing factor on a node. FIG. 7 is an explanatory diagram showing an example in which the dependency information is displayed on the node having the influence factor dependency in the subgraph which is the search result. FIG. 8 is an explanatory diagram showing a specific example of the physical property search according to the second embodiment. FIG. 9 is a block diagram showing an example of a hardware system in which the search system of the present invention is implemented. FIG. 10 is a flowchart showing a configuration example of the search method of the present invention. FIG. 11 is a flowchart of a modification of the search method of the fourth embodiment. FIG. 12 is a flowchart of another modification of the search method of the fourth embodiment.

1. 1. Outline of Embodiment First, an outline of a typical embodiment disclosed in the present application will be described. Reference numerals in the drawings referenced in parentheses in the schematic description of a typical embodiment merely exemplify those included in the concept of the component to which it is attached.

[1] <Physical characteristic search system that can reflect the influence of factors other than physical property parameters>
A typical embodiment of the present invention is a search system (10) including a physical characteristic parameter relationship database (1), a graph generation unit (2), and a graph search unit (4), and is configured as follows. (Fig. 1).

The physical characteristic parameter relationship database stores a plurality of parameter pairs of physical characteristic parameters having a relationship. The graph generation unit generates a graph in which each of the plurality of physical characteristic parameters included in the plurality of parameter pairs is a node and the nodes corresponding to each of the plurality of parameter pairs are edges. The graph search unit is configured to search the graph based on a given search condition and output the search result. Here, the search result is one or more routes or subgraphs composed of a plurality of nodes and a plurality of edges that satisfy the search conditions.

The search system (10) of the present invention further includes an influence factor database (5), an influence determination unit (6), and a search result output unit (7).

The influence factor database associates at least one physical property parameter among the plurality of physical property parameters with one or more influential factors to which the physical property parameter has a dependency, and dependency information indicating the dependency relationship. Remember.

By referring to the influence factor database, the influence determination unit determines whether or not the physical characteristic parameters corresponding to the nodes included in the search result are dependent on at least one influence factor, and the search result is determined. The output unit is configured to be able to output the combination of the physical characteristic parameter and the influential factor determined by the influence determination unit to have the dependency and the dependency information together with the search result.

This makes it possible to reflect the influence of non-physical factors (influence factors) in the search in a physical property search system that searches for a graph in which pairs of related physical property parameters are associated with node pairs connected by edges. It is possible to provide a search support function. When a physical property parameter that depends on some influential factor is included in the search result, it is possible to output the dependency information as to which influential factor has what kind of dependency, together with the search result. The user can more efficiently extract a substance / material having a desired characteristic or a method for producing the same from the search results. Here, the dependency information may be only the presence or absence of the dependency, or may be more detailed information, for example, positive / negative of the correlation, the type of the function representing the relationship, and the like.

[2] <Influence factor database (DB: database) = environment description DB / morphology description DB / size description DB>
In the search system of item [1], it is more preferable that the influence factor database includes at least one of an environment description database (11), a morphology description database (12), and a size description database (13) (FIG. 1). 2, Fig. 3).

The environment description database includes at least one of temperature, pressure, electric field, and magnetic field as an influential factor, and is dependent information indicating the dependency relationship of the physical characteristic parameters depending on the influential factor among the plurality of physical characteristic parameters. Are associated and stored.

The morphological description database includes at least one of spherical, columnar, linear, cluster, surface area / volume ratio, orientation direction and dispersion as an influential factor, and depends on the influential factor among the plurality of physical characteristic parameters. Dependency information indicating the dependency relationship of the physical property parameter is stored in association with each other.

The size description database includes at least one of length, diameter, nano, micro, and bulk as an influential factor, and shows the dependency relationship of the physical characteristic parameters depending on the influential factor among the plurality of physical characteristic parameters. Store in association with dependency information.

As a result, the influential factor database is divided into subordinate databases of different concepts, and it is possible to improve the convenience of the user when the dependence of the influential factor of the physical characteristic parameter is used for displaying or narrowing down the search result. can.

[3] <Display of influence factor dependency information>
In the search system of item [1], the search result output unit displays one or more paths or subgraphs including the plurality of nodes and edges of the search result, and the influence determination unit has a dependency relationship. Then, the corresponding dependency information is displayed for the node corresponding to the determined physical property parameter (FIGS. 3, FIG. 4, FIG. 5).

As a result, the user is displayed with information to be considered when extracting the physical characteristic relationship that matches the purpose of the search from the search results, so that the convenience of the user is improved.

[4] <Display of dependency information with an influential factor as an additional node>
In the search system of the item [3], the search result output unit adds and displays the influence factor determined by the influence determination unit as a new node to the new node and the influence factor. A new edge is added and displayed between the node and the node corresponding to the dependent physical property parameter (Fig. 3, Fig. 4, Fig. 5).

As a result, the contribution of the influential factors to the physical properties is visualized, and the convenience of the user is further improved.

[5] <Display of influential factor dependency information on nodes / edges included in the search results>
In the search system of item [4], the search result output unit has a corresponding dependency on the corresponding node and / or edge with respect to the physical characteristic parameter determined by the influence determination unit to have a dependency of at least one influence factor. Display sexual information (Figs. 3, Fig. 4, Fig. 5).

As a result, the contribution of the influential factors to the physical properties is visualized, and the convenience of the user is further improved.

[6] <Display positive / negative correlation as dependency information of influential factors>
In the search system of item [4] or [5], the search result output unit displays the dependency displayed on the node corresponding to the physical property parameter determined by the influence determination unit to have a dependency of at least one influence factor. The positive / negative of the correlation is displayed as the sex information (Fig. 6).

As a result, the contribution of the influential factors to the physical properties is visualized, and the convenience of the user is further improved.

[7] <Designation of influential factors>
In the search system according to any one of the items [3] to [6], the search result output unit has one or more influences among the influence factors determined by the influence determination unit to have a dependency relationship. Factors can be specified from the outside, and the dependency information for the specified influential factors is displayed, and the dependency information for the unspecified influential factors is excluded from the display (Figs. 4 and 5).

As a result, only the contribution of the influential factor specified by the user to the physical characteristics is visualized, and the convenience of the user is further improved.

[8] <Narrowing down search results considering the contribution of influential factors>
In the search system of item [1], the search result output unit receives one or more influence factors among the influence factors determined by the influence determination unit to have a dependency relationship and the dependency information corresponding to the influence factor. It is configured so that the search limitation condition including can be specified from the outside, and among the search results, the route or the subgraph satisfying the specified search limitation condition is preferentially output.

As a result, the search route or subgraph considering the contribution of the influential factor specified by the user to the physical characteristics is preferentially output as the search result, and the convenience of the user is improved.

[9] <Physical characteristic search method that can reflect the influence of factors other than physical characteristic parameters>
A typical embodiment of the present invention is implemented by software running on a computer (101 in FIG. 9) equipped with a storage device (102 in FIG. 9), and is stored in the storage device as a physical property parameter relationship database (). A search method including a graph generation step (S1) with reference to 1), a search condition input step (S2), and a graph search step (S3), which is configured as follows (FIGS. 10 and 11). , Fig. 12).

The physical characteristic parameter relationship database stores a plurality of parameter pairs of physical characteristic parameters having a relationship. The graph generation step generates a graph in which each of the plurality of physical characteristic parameters included in the plurality of parameter pairs is a node and the nodes corresponding to each of the plurality of parameter pairs are edges. The graph search step searches for the graph based on the search conditions given from the search condition input step, and searches for one or more paths or subgraphs composed of a plurality of nodes and a plurality of edges that satisfy the search conditions. Output as a result.

The search method includes an influence determination step (S4) that refers to an influence factor database (5) stored in the storage device or another storage device (112, 122 in FIG. 9), and a search result output step (S5). Including further.

In the influence factor database, at least one physical property parameter among the plurality of physical property parameters, one or more influence factors to which the physical property parameter has a dependency, and dependency information indicating the dependency relationship are associated with each other. (Figs. 2 and 3).

The influence determination step determines whether or not the physical characteristic parameter corresponding to the node included in the search result is dependent on at least one influence factor, and the search result output step is described together with the search result. The combination of the physical characteristic parameters and the influential factors determined to have the dependency in the influence determination step and the dependency information are output.

As a result, even in the physical property search method for searching a graph in which a pair of related physical property parameters is associated with a node pair connected by an edge, a factor (influence factor) that is not a physical property is used as in item [1]. It is possible to provide a search support function that makes it possible to reflect the influence in the search.

[10] <Influence factor database (DB: database) = environment description DB / morphology description DB / size description DB>
In the search method of item [9], it is more preferable that the influence factor database includes at least one of an environment description database (11), a morphology description database (12), and a size description database (13) (FIG. 9). 2, Fig. 3).

The environment description database includes at least one of temperature, pressure, electric field, and magnetic field as an influential factor, and is dependent information indicating the dependency relationship of the physical characteristic parameters depending on the influential factor among the plurality of physical characteristic parameters. Are associated and stored.

The morphological description database includes at least one of spherical, columnar, linear, cluster, surface area / volume ratio, orientation direction and dispersion as an influential factor, and depends on the influential factor among the plurality of physical characteristic parameters. Dependency information indicating the dependency relationship of the physical property parameter is stored in association with each other.

The size description database includes at least one of length, diameter, nano, micro, and bulk as an influential factor, and shows the dependency relationship of the physical characteristic parameters depending on the influential factor among the plurality of physical characteristic parameters. Store in association with dependency information.

As a result, the influential factor database is divided into subordinate databases of different concepts, and it is possible to improve the convenience of the user when the dependence of the influential factor of the physical characteristic parameter is used for displaying or narrowing down the search result. can.

[11] <Display of influence factor dependency information>
In the search method of item [9], the search result output step displays one or more paths or subgraphs including the plurality of nodes and edges of the search result, and has a dependency relationship in the influence determination step. Then, the corresponding dependency information is displayed for the node corresponding to the determined physical property parameter (FIGS. 3, FIG. 4, FIG. 5).

As a result, the user is displayed with information to be considered when extracting the physical characteristic relationship that matches the purpose of the search from the search results, so that the convenience of the user is improved.

[12] <Display of dependency information with an influential factor as an additional node>
In the search method of item [11], in the search result output step, the influence factor determined to have a dependency in the influence determination step is added and displayed as a new node, and the new node and the influence factor are displayed. A new edge is added and displayed between the node and the node corresponding to the physical property parameter depending on (Fig. 3, Fig. 4, Fig. 5).

As a result, the contribution of the influential factors to the physical properties is visualized, and the convenience of the user is further improved.

[13] <Display of influence factor dependency information on the node / edge included in the search result>
In the search method of item [12], the search result output step corresponds to the corresponding node and / or edge with respect to the physical characteristic parameter determined to have the dependency of at least one influencing factor in the influence determination step. Display dependency information (Figs. 3, Fig. 4, Fig. 5).

As a result, the contribution of the influential factors to the physical properties is visualized, and the convenience of the user is further improved.

[14] <Display positive / negative correlation as dependency information of influential factors>
In the search method of item [12] or [13], the search result output step is displayed on the node corresponding to the physical property parameter determined to have the dependency of at least one influencing factor in the influence determination step. The positive / negative of the correlation is displayed as the dependency information (Fig. 6).

As a result, the contribution of the influential factors to the physical properties is visualized, and the convenience of the user is further improved.

[15] <Designation of influential factors>
The search method according to any one of the items [11] to [14] further includes an influential factor designation step (S6) (FIG. 11).

In the influence factor designation step, one or more influence factors among the influence factors determined to have a dependency in the influence determination step are designated from the outside.

The search result output step displays the dependency information about the influence factor specified in the influence factor designation step, and excludes the dependency information about the influence factor not specified from the display.

As a result, only the contribution of the influential factor specified by the user to the physical characteristics is visualized, and the convenience of the user is further improved.

[16] <Narrowing down search results considering the contribution of influential factors>
The search method according to item [9] further includes a search condition limiting step (S7) (FIG. 12).

In the search condition limitation step, a search limitation condition including one or a plurality of influence factors determined to have a dependency in the influence determination step and the dependency information corresponding to the influence factor is specified from the outside. Then, the search result output step preferentially outputs a route or a subgraph that satisfies the search limitation condition specified in the search condition limitation step among the search results.

As a result, the search route or subgraph considering the contribution of the influential factor specified by the user to the physical characteristics is preferentially output as the search result, and the convenience of the user is improved.

2. 2. Details of the embodiment The embodiment will be described in more detail.

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

The search system 10 according to the first embodiment includes a physical characteristic parameter relationship database 1, a graph generation unit 2, a graph search unit 4, an influence factor database 5, an influence determination unit 6, and a search result output unit 7. Be prepared.

The physical characteristic parameter relationship database 1 stores a plurality of parameter pairs of physical characteristic parameters having a relationship. The graph generation unit 2 generates the graph 3. The graph 3 is a graph in which the physical property parameters constituting each of the plurality of parameter pairs stored in the physical characteristic parameter relationship database 1 are used as nodes, and the nodes corresponding to the parameter pairs are used as edges. The graph search unit 4 is configured to search the graph 3 based on a given search condition and output the search result.

Here, the physical characteristic parameter relationship database 1, the graph generation unit 2, and the graph search unit 4 can be configured to be disclosed in, for example, Patent Document 2 or 3.

When the physical property parameters of the cause side and the effect side are specified as the search condition, the graph search unit 4 searches the route between the corresponding nodes for the graph 3, extracts one or a plurality of routes, and searches. Output as a result. Further, when the cause side or the result side physical characteristic parameter and the range are specified as the search condition, the graph search unit 4 sets the corresponding node as the start point or the end point of the graph 3 and is a subgraph within a predetermined range. Is output as a search result. As described above, the search result is one or more paths or subgraphs composed of a plurality of nodes and a plurality of edges satisfying the search condition.

The influential factor database 5 contains at least one physical property parameter among a plurality of physical property parameters stored in the physical property parameter relationship database 1, one or more influential factors to which the physical property parameter has a dependency, and their dependency. Stores in association with the indicated dependency information.

By referring to the influence factor database 5, the influence determination unit 6 determines whether or not the physical characteristic parameters corresponding to the nodes included in the search result are dependent on at least one influence factor, and the search result output unit 7 is configured to be able to output the combination of the physical characteristic parameter and the influential factor determined by the influence determination unit 6 to have the dependency and the dependency information together with the search result. Here, "output" includes "display" in one aspect thereof, but is not limited to "display".

This makes it possible to reflect the influence of non-physical factors (influence factors) in the search in a physical property search system that searches for a graph in which pairs of related physical property parameters are associated with node pairs connected by edges. It is possible to provide a search support function. When a physical property parameter that depends on some influential factor is included in the search result, the dependency information of what kind of dependency the physical property parameter has on which influential factor is output together with the search result, so that the user can use it. From the search results, substances / materials having desired characteristics or methods for producing the same can be extracted more efficiently.

<Structure example of physical characteristic parameter relationship database and influence factor database>
The physical characteristic parameter relationship database 1 stores a plurality of pairs of physical characteristic parameters having a relationship. The pair of physical property parameters having a relationship at this time is not only a relationship based on scientific grounds, that is, a relationship based on a theoretically explained relationship, but a theoretical explanation has not yet been made. In addition, even in the unformulated stage, it is possible to include a pair of physical property parameters for which the existence of a relationship is known by recognizing a clear correlation from the experimental data. In addition to the relations formulated like theorems and formulas, the "relationships explained theoretically" include the presence or absence of correlation and the positive or negative of the correlation coefficient (when one increases, the other also increases). It may broadly include semi-quantitative or even qualitative relationships that explain (whether it decreases or decrease, etc.). At this time, the relationship known in any field does not have to be excluded in particular, and a pair of physical characteristic parameters known in any field can be included.

FIG. 2 is an explanatory diagram showing a configuration example of the physical characteristic parameter relationship database 1 and the influential factor database 5. An input form 20 is shown as an example. The input form 20 is a table in which a pair of related physical characteristic parameters is used as each row. The first column is the cause side physical property parameter, the second column is the result side physical property parameter, and the third column is the relationship description. It is not always necessary to divide into the cause side and the effect side, but there is a merit that it is possible to express a relationship in which the causal relationship is directional. On the other hand, when there is a bidirectional relationship, the relationship is described using two lines in which the physical property parameters on the cause side and the result side are exchanged.

As illustrated in FIG. 2, as a theoretical relationship to the textbook X1, when "A = g (B)" is formulated in the textbook X1, g is a function that inputs B and outputs A. When the inverse function cannot be defined, the physical property parameter on the cause side is B, the physical property parameter on the result side is A, and "A = g (B)" is input as the relationship description (first line). For the description of the relationship, for example, a description language that can be read by a computer such as content mathML can be adopted.

When one physical property parameter depends on a plurality of physical property parameters, it is described over a plurality of lines. For example, when "D = f (A, B, T, d, ...)" Is formulated in the textbook X1, A and B are set as the cause side physical property parameters and D is set as the result side physical property parameter in the input form 20. It is input (2nd to 3rd lines). At this time, as a relational description, the relational expression in which B is constant in the mathematical formula "D = f (A, B, T, d, ...)" In the second line where the cause side is A and the result side is D. "D = f A (A, T, d, ...)" is input, and the formula "D = f (A, B, T, d, ...)" is entered in the third line where the cause side is B and the result side is D. ) ”, The relational expression“ D = fB (B, T, d,…) ”in which A is constant is input.

Here, the physical property parameter D depends not only on the other physical property parameters A and B but also on the factors T and d. The factor T is the temperature, and the factor d is the diameter of the spherical substance in which the relationship between the physical property parameters A, B, and D is defined. This example is not based on the physical properties of an existing substance, but there are numerous examples in which factors other than physical properties, such as temperature, as described above, affect the relationship between physical property parameters. do. Such factors are referred to herein as "influencing factors."

When the data (chart) that the physical property parameters D and E have a good correlation is shown in the paper Y1, the relationship is input to the 4th and 5th lines, and in the Society Z, the physical property parameters C and E are set. When the data (chart) that has a good correlation is published, the relationship is entered in the 6th and 7th lines. At this time, it is preferable to input an approximate expression as the relationship description. In order to obtain an approximate expression, a well-known method such as a method using the least squares method can be adopted. In FIG. 2, the illustration of the relationship description on the fourth and subsequent lines is omitted.

Similarly, the relationship between the physical characteristic parameters M and C shown in the paper Y2 is derived from the theoretical formula shown in the textbook X2 on the 8th and 9th lines, and the physical characteristic parameters K and J, K and L, The relationships between J and L, L and J are on the 10th to 14th lines, and other theoretically or empirically known physical property parameters I and K, G and C, G and F, G and I, The relationships between I and F, L and H, and G and H are input in the 15th to 22nd lines, respectively.

The pair of the cause side physical property parameter and the effect side physical property parameter, that is, the first column and the second column is the physical property parameter relationship database 1. The influential factor database 5 can be constructed from the result side physical property parameters and the corresponding relational descriptions, that is, the second and third columns.

From the result side physical property parameter and the corresponding relation description, it is possible to extract what kind of influence factor the result side physical property parameter depends on and what kind of relationship it has. Dependency information to be extracted includes the presence or absence of a dependency, the polarity of the correlation (positive or negative correlation), and the type of relationship, for example, a gradual increase / decrease than linear. The influence factor database 5 can be constructed by extracting linearly increase / decrease, power (square, cube, ...) Increase / decrease, and exponential increase / decrease. In the input form 20 illustrated in FIG. 2, if the specific mathematical formula itself is described instead of the exemplified f, g, etc. by using content mathML or the like for the relation description, the relation as described above is described by the mathematical formula transformation. Types can be extracted. On the other hand, as illustrated, the presence or absence of a dependency can be extracted even when the contents of the function such as f and g are not described.

Such processing can be performed by a system separate from the search system 10, and the configured physical characteristic parameter relationship database 1 and the influential factor database 5 can be held in the search system 10. On the other hand, the table itself as illustrated in the input form 20 may be held in the search system 10 as a tabular database.

<Example of configuration of impact factor database>
It is more preferable that the influence factor database 5 is configured separately for each influence factor of the subordinate concept, such as the environment description database 11, the morphology description database 12, and the size description database 13.

The environment description database 11 includes at least one of temperature, pressure, electric field, and magnetic field as an influential factor, and contains dependency information indicating the dependency of a plurality of physical characteristic parameters that depend on the influential factor. Store in association with each other. The influencing factor held in the environment description database 11 is a factor representing the environment in which the substance is placed, and may affect the 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 dispersion as an influential factor, and is a physical property that depends on the influential factor among a plurality of physical property parameters. Dependency information indicating the dependency of the parameter is stored in association with each other. The influencing factor held in the morphological description database 12 is an influencing factor representing the shape and state of the substance. Since the shape and state of the substance may affect the physical properties or physical property parameters of the substance, this can be positioned as one of the influential factors.

The size description database 13 includes at least one of length, diameter, nano, micro, and bulk as an influential factor, and shows the dependency relationship of the physical characteristic parameters depending on the influential factor among the plurality of physical characteristic parameters. Store in association with dependency information. While the influential factor held in the morphological description database 12 represents the shape and state of the substance, the size description database 13 holds the influential factor representing the size of the shape and state. While the illustrated "length" and "diameter" are influential factors that can give absolute values, "nano", "micro", and "bulk" do not represent pinpoint absolute values, but represent a range of values to some extent. It is an influential factor. The former is such an influential factor because, for example, it may be included as a variable in a mathematical formula that defines a physical property parameter and exhibits a quantitative relationship. On the other hand, the latter is an influential factor that indicates the size of a substance in such a case, because, for example, a property that was not expressed in the bulk state may be expressed for the first time when it becomes a nano-sized microstructure. .. In this way, since all of them are influential factors representing the shape and the size of the state, the embodiment of holding in the same size description database 13 is illustrated, but since they are conceptually slightly different, they are divided into two databases. It may be configured to hold.

As a result, the influence factor database is divided into databases under different concepts, and the user's convenience can be improved when the dependency of the influence factor of the physical property parameter is used for displaying or narrowing down the search result.

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

FIG. 9 is a block diagram showing an example of a hardware system in which the search system 10 of the present invention is mounted.

The server 100 and the workstations 110 and 120 on the user side are connected to a network 200 such as the Internet. The server 100 includes a computer 101, a storage device 102, a network interface 103, an input unit 104, and a display unit 105. The workstations 110 and 120 on the user side also have calculators 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 realized as software in which, for example, the physical property parameter relationship database 1 is stored 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. The graph 3 may be expanded on the main memory of the computer 101 or may be stored in the storage device 102. The influence factor database 5 is also stored in the storage device 102 on the server 100 side, and the influence determination unit 6 and the search result output unit 7 are also realized as software running on the computer 101 on the server side. The user transmits the search condition from the workstations 110 and 120 on the user side via the network 200, and receives the search result. The workstation 100 on the server side may be configured to be directly operated by the user. In that case, the workstations 110 and 120 and the network 200 on the user side may be omitted.

As another embodiment, the physical property parameter relationship database 1 is held in the storage device 102 on the server 100 side, the graph generation unit 2 and the graph search unit 4 are realized as software operating on the computer 101, and the influence factor database 5 is used by the user. It may be held on the storage devices 112 and 122 of the workstations 110 and 120 on the side, and the influence determination unit 6 and the search result output unit 7 may be realized as software that operates on the computers 111 and 121 on the user side. The influence factor database 5 may be stored in the storage device 102 on the server 100 side, and when there is a user to use it, it may be transferred to the workstation on the user side.

[Embodiment 2] <Display of dependency information of influential factors>
In the search system 10, the search result output unit 7 displays the search result output from the graph search unit 4 as one or more paths or subgraphs including a plurality of nodes and edges, and the influence determination unit 6 depends on the search system 10. Dependency information can be displayed for the node corresponding to the physical characteristic parameter determined to have a relationship. Dependency information may be only the presence or absence of a dependency, or may be information about the relationship as described above.

As a result, the user is displayed with information to be considered when extracting the physical characteristic relationship that matches the purpose of the search from the search results, so that the convenience of the user is improved.

FIG. 3 is an explanatory diagram for displaying the dependency information of the influential factors by the search system 10 according to the second embodiment.

As described above, the influence factor database 5 includes a database of subordinate concepts divided into an environment description database 11, a morphology description database 12, and a size description database 13. It is not always necessary to classify. In addition, the influential factor database 5 may include categories other than the three categories illustrated and influential factors that are not classified into the categories.

The search result 21 output from the graph search unit 4 is displayed as a subgraph. The physical characteristic parameters correspond to the nodes, and the two nodes corresponding to the related physical characteristic parameter pairs are connected by the edge. Even when the search result 21 is a plurality of routes, since the start point and the end point are usually common, the result is displayed as a subgraph.

Various modes can be taken to display the dependency information of the influencing factor together with this search result. Some aspects will be described below.

<Display of dependency information with influential factors as additional nodes>
The search result output unit 7 adds and displays the influence factor determined by the influence judgment unit 6 as a new node, and corresponds to the added new node and the physical property parameter depending on the influence factor. Add a new edge between the node and display it. The new edge added is an indication that there is a dependency. In the example shown in FIG. 3, nodes b, d, and T are added, a dependency display area 22 is provided, and an edge indicating the dependency is added. The border of the influential factor database 5, the environment description database 11, the morphology description database 12, and the size description database 13 do not necessarily have to be displayed, but by displaying them, the user's visibility can be improved. A node T is added to show that the physical property parameters corresponding to the nodes A, B, and F depend on the temperature T, and edges (broken lines) are added between the nodes TA, TB, and TF, respectively. Is displayed. Further, when the physical property parameters corresponding to the nodes A and N depend on the diameter d as the size when the morphology is spherical, it is between the nodes b and d, and between the nodes b-A, b-N, and d-A. Each edge (one-dot chain line) between d and d is added and displayed.

As a result, the contribution of the influential factors to the physical properties is visualized, and the convenience of the user is further improved. For example, when the physical property parameters corresponding to the node A are controlled and the physical property parameters corresponding to the node B are to be optimized, the control based on the route ANB is performed to correspond to the node N. It can be seen that the physical property parameters may fluctuate depending on the diameter d. If such fluctuations are not preferred, it can be seen that other routes, ACFB and AKEB, should be taken.

<Designation of influential factors>
The search result output unit 7 can be configured so that one or a plurality of influence factors among the influence factors determined by the influence determination unit 6 to have a dependency can be designated from the outside. This is effective when the edges are congested and visibility is reduced when there are many influential factors that have a dependency. In addition, visibility can be improved because the display can be narrowed down to the dependencies of the influential factors that the user is interested in.

4 and 5 are explanatory views showing a display example in which the dependent relationships of the designated influential factors are displayed. FIG. 4 is an example in which a morphology, a spherical shape belonging to the morphology (corresponding to the node b), and a diameter belonging to the size (corresponding to the node d) are selected. The edges between nodes b, d, and b-A, between b-N, d-A, and d-N are left, and the edges between TA, TB, and T-F are left. Do not show. Node T may remain displayed as illustrated. The node T that remains displayed can be used as an icon display when providing the user with an operation such as changing the designation from the node d and D to the node T. FIG. 5 is an example in which the temperature T belonging to the environment is selected. Since it is the same, detailed description thereof will be omitted.

In this way, only the contribution of the influential factor specified by the user to the physical characteristics is visualized, and the convenience of the user is improved.

On the other hand, without using the function to specify the influential factor of interest to the user, the dependency information from all the factors affecting each of the physical characteristic parameters corresponding to all the nodes constituting the subgraph which is the search result is output. By doing so, it is possible to provide the user with an opportunity to notice. For example, it may be noticed that the physical characteristics parameters in the middle of the route to be selected have a strong dependence on unexpected influential factors and are not actually appropriate routes.

In order to take advantage of both the case where the influence factor can be specified and the case where it is not specified, all the existing relationships are displayed and the dependency information of the selected influence factor is highlighted. It is possible to display with different priorities. While highlighting the effects of factors that are of great interest to the user, the effects of other factors are also displayed, giving the user an opportunity to notice the effects of factors that were not expected by the user.

<Display of influence factor dependency information on the nodes included in the search results>
In the search system 10 of the second embodiment, the search result output unit 7 corresponds to the corresponding node and / or edge with respect to the physical characteristic parameter determined by the influence determination unit 6 to have a dependency relationship of one or a plurality of influence factors. Dependency information can be displayed.

Dependency information includes the presence or absence of a dependency, the polarity of the correlation (positive or negative correlation), and the type of relationship, for example, gradually increasing / decreasing rather than linear, linearly. It can be treated as an increase / decrease, an increase / decrease by a power (2nd, 3rd, ...), and an exponential increase / decrease. For example, in the display illustrated in FIGS. 4 and 5, the dependency information can be displayed on the node on the side having the dependency on the influential factor. Alternatively, the dependency information can be displayed on the corresponding edge. Furthermore, various dependency information may be displayed by combining the display of the node and the display of the edge.

FIG. 6 is an explanatory diagram showing an example of a mode for displaying dependency information of an influencing factor on a node.

By changing the display of the node according to the type of relationship, the type of relationship can be displayed. Two types of display methods have been exemplified. An example of displaying the type of relationship by the color of the node and an example of displaying the type of relationship by the line type of the node.

It is also possible to display the type of relationship by changing the display of the edge according to the type of relationship. When a certain physical property parameter depends on a certain influential factor, the node corresponding to the physical characteristic parameter is included in the search result, a new node corresponding to the influential factor is added, and an edge is added between these two nodes. When it is done, the type of relationship can be represented by the color and line type of the edge. Although the illustration is omitted, the same color or line type display as in FIG. 6 can be adopted.

It may be configured to represent the type of relationship by combining all or part of the display for nodes, the display for edges, and the proper use of colors and linetypes based on the type of relationship.

FIG. 7 is an explanatory diagram showing an example in which the dependency information is displayed on the node having the influence factor dependency in the subgraph which is the search result. In the example shown in FIG. 5, the edges from the node T corresponding to the temperature T, which is one of the influential factors, are displayed for each of the nodes A, B, and F whose corresponding physical property parameters have temperature dependence. It is only possible to know whether or not there is a dependency (that there is a dependency). On the other hand, in the example shown in FIG. 7, the type of relationship is displayed as the dependency information for each node having the dependency. Node A shows "gradual decrease than linear", node B shows "linear increase", and node F shows "exponential increase". The search results show that the physical characteristic parameters corresponding to node F have a dependency that increases exponentially with increasing temperature when the user is trying to select the route ACFB. Shown as additional information in, it is possible to verify whether such physical properties are acceptable as the properties of the material targeted in the search.

In the example shown in FIG. 7, the number of influencing factors that can display the dependency information on the node is one, but if the display of the dependency information by color shown in FIG. 6 is combined, it can be displayed on one node. The number of influencing factors can be increased to two. In this way, depending on the device of the display method, the dependency information of a plurality of influencing factors can be displayed at the same time.

On the other hand, as the dependency information, only the polarity of the correlation, that is, whether it is a positive correlation or a negative correlation may be displayed. Since the display is simplified, visibility is improved. It can also be configured to display the polarity of the correlation by changing the display of the edges from the node corresponding to the influencing factor instead of the node to the node corresponding to the physical characteristic parameter. As a result, even if the dependency information of a plurality of influencing factors is displayed at the same time, it is possible to prevent the display from becoming unnecessarily complicated.

<Example of physical property search>
An example of a specific physical property search will be described.

FIG. 8 is an explanatory diagram showing a specific example of the physical property search according to the second embodiment.

The search result 21 output from the graph search unit 4 shows a partial graph showing the relationship between the physical property parameters in the joining between the oxide and the molten metal. In addition, the nodes corresponding to the oxygen partial pressure and the molten metal vapor pressure are shown as influential factors, and the edges are displayed between the nodes of the physical characteristic parameters having a relationship with each.

The following three points can be read from this subgraph which is the search result 21.

In the bonding of oxide and molten metal, the contact angle is an index of wettability. The contact angle has a sequential relationship with surface energy, adsorption energy, and generated enthalpy. The contact angle has a relationship with surface energy. As for the relationship between the influential factor and the physical property parameter, it is shown that the oxygen partial pressure and the generated enthalpy, the oxygen partial pressure and the surface energy, and the molten metal vapor pressure and the surface energy are related, respectively.

Normally, the generated enthalpy is the one in the standard state whose value is listed in the handbook, but the user notices that the generated enthalpy is affected by the oxygen partial pressure, which is an influential factor, from the result displayed as shown in Fig. 8. .. The user also notices that the effect of oxygen partial pressure also affects the adsorption energy, interfacial energy, contact angle, and wettability. As a result, the user understands that although it is not desirable for the wettability to be dependent on the oxygen partial pressure, the oxygen partial pressure dependence of the enthalpy of production is unavoidable. Therefore, the user comes up with a solution method of compensating for the influence of oxygen partial pressure by controlling the process atmosphere at the time of joining. That is, from the results shown in FIG. 8, it can be seen that the surface energy depends not only on the oxygen partial pressure but also on the molten metal vapor pressure. From this, the user said, "By filling the process with molten metal vapor, it is assumed that the contact angle has a negative effect due to the oxygen partial pressure, and the negative effect is due to the molten metal vapor pressure. It can be solved by the method of "compensating by controlling the surface energy of the molten metal connected with".

In this way, by visualizing the contribution of the influential factors to the physical properties in addition to the relationships between the physical property parameters, it is possible to provide an opportunity for the user to notice and improve the convenience of the physical property search system.

[Embodiment 3] <Narrowing down search results considering the contribution of influential factors>
In the second embodiment, as described above, the dependency information is displayed for the node corresponding to the physical property parameter determined by the influence determination unit 6 to have the dependency relationship. On the other hand, in the search system 10 of the third embodiment, the search result output unit 7 preferentially selects a route or a subgraph that satisfies the designated search limitation condition among the search results output from the graph search unit 4. Output to. In order to realize this, the search result output unit 7 is configured so that a search limiting condition can be specified from the outside. Here, the search limiting condition is a condition defined for one or more influence factors among the influence factors determined by the influence determination unit 6 to have a dependency relationship and the dependency information corresponding to the influence factor. For example, when it is desired to extract a path via only a physical property parameter having a positive temperature dependence coefficient, a search limiting condition including a temperature T as an influential factor and a positive correlation as dependency information is specified.

Of the search results, the route or subgraph that satisfies the specified search limitation condition is preferentially output. It may be configured so that only the route or subgraph satisfying the search limitation condition is output, or the route or subgraph satisfying the search limitation condition is highlighted while the entire search result is displayed. You may.

As a result, the search route or subgraph considering the contribution of the influential factor specified by the user to the physical characteristics is preferentially output as the search result, and the convenience of the user is improved.

[Embodiment 4] <Search method>
As described above, the search system 10 of the present invention described in the first to third embodiments includes a storage device and a computer as described with reference to FIG. 9 in the “hardware / software mounting embodiment” of the first embodiment. Functions can be built as software on the hardware system. Therefore, the present invention can be positioned as a search method using a hardware system equipped with a storage device and a computer.

FIG. 10 is a flowchart showing a configuration example of the search method of the present invention.

The search method of the present invention is implemented by software running on a computer including a storage device, and has a graph generation step (S1), a search condition input step (S2), and a graph search step that refer to the physical property parameter relationship database 1. It is a search method including (S3), an influence determination step (S4) referring to the influence factor database 5, and a search result output step (S5), and is configured as follows. The physical characteristic parameter relationship database 1 and the influence factor database 5 may be stored in the same storage device or may be stored in different storage devices.

The physical characteristic parameter relationship database 1 holds a plurality of parameter pairs of physical characteristic parameters having a relationship in, for example, the storage device 102 of FIG. The graph generation step (S1) generates a graph in which a plurality of physical property parameters included in the parameter pair stored in the physical characteristic parameter relationship database 1 are nodes and the nodes corresponding to the parameter pairs are edges. The graph search step (S3) searches for a graph based on the search conditions given from the search condition input step (S2), and one or more paths or subgraphs composed of a plurality of nodes and a plurality of edges satisfying the search conditions. Is output as a search result.

In the influential factor database 5, at least one physical property parameter among a plurality of physical property parameters stored in the physical property parameter relationship database 1, one or more influential factors to which the physical property parameter has a dependency, and their dependencies are displayed. It is associated with the indicated dependency information. It is the same as described with reference to FIGS. 2 and 3 in the first embodiment.

The influence determination step (S4) determines whether or not the physical characteristic parameter corresponding to the node included in the search result output from the graph search step (S3) has a dependency on at least one influence factor. The search result output step (S5) outputs the combination of the physical characteristic parameters and the influential factors determined to have the dependency in the influence determination step (S4) and the dependency information together with the search result.

This makes it possible to reflect the influence of factors that are not physical properties (influence factors) in the search in a physical property search method that searches for a graph in which pairs of related physical property parameters are associated with node pairs connected by edges. .. When a physical property parameter that depends on some influential factor is included in the search result, the dependency information of what kind of dependency the physical property parameter has on which influential factor is output together with the search result, so that the user can use it. From the search results, substances / materials having desired characteristics or methods for producing the same can be extracted more efficiently.

The influence factor database 5 is classified according to the influence factor of the subordinate concept like the environment description database 11, the form description database 12, and the size description database 13 as described in the “configuration example of the influence factor database” of the first embodiment. It is more preferable to configure the above. Since detailed explanations are duplicated, they will be omitted.

<Display of influence factor dependency information>
The search result output step (S5) displays the search result output from the graph search step (S3) on one or more paths or subgraphs including a plurality of nodes and edges, and the search result is combined in the impact determination step (S4). Dependency information can be displayed for the node corresponding to the physical characteristic parameter determined to have the dependency.

As a result, the user is displayed with information to be considered when extracting the physical characteristic relationship that matches the purpose of the search from the search results, so that the convenience of the user is improved.

An example of how to display the dependency information will be described. In the search result output step (S5), the influence factor determined to have a dependency in the influence determination step (S4) is added and displayed as a new node, and the added node and the physical property parameter depending on the influence factor are displayed. New edges can be added and displayed between the corresponding node.

As a result, the contribution of the influential factors to the physical properties is visualized, and the convenience of the user is further improved.

The other functions and effects are the same as those described with reference to FIGS. 3, 4, and 5 in the second embodiment, and thus detailed description thereof will be omitted.

Another example of how to display the dependency information will be described. The search result output step (S5) can display the dependency information corresponding to the corresponding node for the physical characteristic parameters determined to have the dependency relationship of at least one influence factor in the influence determination step (S4).

In the second embodiment, the dependency relationship may be divided and displayed according to the color and line type of the border and / or edge of the node, as described with reference to FIG. Further, as the dependency information to be displayed on the node, only the positive / negative of the correlation may be displayed.

As a result, the contribution of the influential factors to the physical properties is visualized, and the convenience of the user is further improved.

As described in "Designation of Influential Factors" of the second embodiment, the search result output step (S5) is one or more of the influential factors determined by the impact determination step (S4) to have a dependency relationship. It can be configured so that the influential factors can be specified from the outside. It is effective in simplifying the display and restoring the visibility when the edge is congested and the visibility is deteriorated when there are many influential factors having a dependency. In addition, visibility can be improved because the display can be narrowed down to the dependencies of the influential factors that the user is interested in.

FIG. 11 is a flowchart of a modification of the search method of the fourth embodiment.

By adding the influence factor designation step (S6) to the search method of the fourth embodiment shown in FIG. 10, one or one of the influence factors determined to have a dependency in the influence determination step (S5). A plurality of influential factors are specified from the outside, and in the search result output step (S5), the dependency information about the influential factors specified in the influential factor designation step (S6) is displayed, and the dependence on the unspecified influential factors is displayed. Exclude sexual information from the display.

As a result, only the contribution of the influential factor specified by the user to the physical characteristics is visualized, and the convenience of the user is further improved.

The search result output step (S5) is designated among the search results output from the graph search step (S3), as described in "Narrowing down the search results considering the contribution of the influential factors" in the third embodiment. It is possible to preferentially output a route or a subgraph that satisfies the search limitation condition.

FIG. 12 is a flowchart of another modification of the search method of the fourth embodiment. A search condition limiting step (S7) is added to the search method of the fourth embodiment shown in FIG. In the search condition limitation step (S7), a search limitation condition including one or more influence factors among the influence factors determined to have a dependency in the influence determination step (S4) and the dependency information corresponding to the influence factor. Is specified from the outside, and the search result output step (S5) is a path or subgraph that satisfies the search limitation condition specified in the search condition limitation step (S7) among the search results output from the graph search step (S3). Is output preferentially. As a result, the search route or subgraph considering the contribution of the influential factor specified by the user to the physical characteristics is preferentially output as the search result, and the convenience of the user is improved. Since it is the same as that described in the third embodiment, the following detailed description will be omitted.

Although the invention made by the present inventor has been specifically described above based on the embodiments, it is needless to say that the present invention is not limited thereto and can be variously modified without departing from the gist thereof.

1 Physical property parameter relationship database 2 Graph generation unit 3 Graph 4 Graph search unit 5 Influence factor database 6 Impact judgment unit 7 Search result output unit 10 Search system 11 Environment description database 12 Form description database 13 Size description database 20 Input form 21 Search results 22 Dependency Display Area 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)

It is a search system equipped with a physical characteristic parameter relationship database, a graph generation unit, and a graph search unit.
The physical characteristic parameter relationship database stores a plurality of parameter pairs of physical characteristic parameters having a relationship.
The graph generation unit can generate a graph in which each of the plurality of physical characteristic parameters included in the plurality of parameter pairs is a node and the nodes corresponding to each of the plurality of parameter pairs are edges. Configured,
The graph search unit is configured to search the graph based on a given search condition and output the search result.
The search result is one or more paths or subgraphs composed of a plurality of nodes and a plurality of edges satisfying the search conditions.
The search system further includes an influence factor database, an influence determination unit, and a search result output unit.
The influence factor database associates at least one physical property parameter among the plurality of physical property parameters with one or more influential factors to which the physical property parameter has a dependency, and dependency information indicating the dependency relationship. Remember,
By referring to the influence factor database, the influence determination unit determines whether or not the physical characteristic parameters corresponding to the nodes included in the search result are dependent on at least one influence factor.
The search result output unit is configured to be able to output a combination of a physical characteristic parameter and an influential factor determined by the influence determination unit to have a dependency, and the dependency information together with the search result.
Search system. In claim 1,
The influence factor database includes at least one of an environment description database, a morphology description database and a size description database.
The environment description database includes at least one of temperature, pressure, electric field, and magnetic field as an influential factor, and is dependent information indicating the dependency relationship of the physical characteristic parameters depending on the influential factor among the plurality of physical characteristic parameters. And memorize it
The morphological description database includes at least one of spherical, columnar, linear, cluster, surface area / volume ratio, orientation direction and dispersion as an influential factor, and depends on the influential factor among the plurality of physical characteristic parameters. Dependency information indicating the dependency of the physical characteristic parameter is stored in association with each other.
The size description database includes at least one of length, diameter, nano, micro, and bulk as an influential factor, and shows the dependency relationship of the physical characteristic parameters depending on the influential factor among the plurality of physical characteristic parameters. Store in association with dependency information,
Search system. In claim 1,
The search result output unit displays the search result on one or more paths or subgraphs including a plurality of nodes and edges, and together, the node corresponding to the physical characteristic parameter determined by the influence determination unit to have a dependency relationship. Displays the corresponding dependency information about,
Search system. In claim 3,
The search result output unit adds and displays the influence factor determined by the influence determination unit as a new node, and the new node and the node corresponding to the physical property parameter depending on the influence factor. Add and display a new edge between
Search system. In claim 4,
The search result output unit displays the corresponding dependency information on the corresponding node and / or edge for the physical characteristic parameter determined by the influence determination unit to have the dependency of at least one influence factor.
Search system. In claim 4 or 5,
The search result output unit displays the positive / negative of the correlation as the dependency information to be displayed on the node corresponding to the physical property parameter determined by the influence determination unit to have the dependency of at least one influence factor.
Search system. In any one of claims 3 to 6,
The search result output unit is configured so that one or a plurality of influence factors among the influence factors determined by the influence determination unit to have a dependency relationship can be specified from the outside, and the dependency information about the designated influence factors can be specified. Display and exclude dependency information about unspecified influence factors from the display,
Search system. In claim 1,
The search result output unit can externally specify a search limiting condition including one or more influence factors among the influence factors determined by the influence judgment unit to have a dependency relationship and the dependency information corresponding to the influence factor. Of the search results, the route or subgraph that satisfies the specified search limitation condition is preferentially output.
Search system. It is a search method including a graph generation step, a search condition input step, and a graph search step, which are implemented by software running on a computer equipped with a storage device and refer to a physical property parameter relationship database stored in the storage device. hand,
The physical characteristic parameter relationship database stores a plurality of parameter pairs of physical characteristic parameters having a relationship.
The graph generation step generates a graph in which each of the plurality of physical characteristic parameters included in the plurality of parameter pairs is a node and the nodes corresponding to each of the plurality of parameter pairs are edges.
The graph search step searches for the graph based on the search conditions given from the search condition input step, and searches for one or more paths or subgraphs composed of a plurality of nodes and a plurality of edges that satisfy the search conditions. Output as a result,
The search method further includes an impact determination step of referring to an influence factor database stored in the storage device or another storage device, and a search result output step.
In the influence factor database, at least one physical property parameter among the plurality of physical property parameters, one or more influence factors to which the physical property parameter has a dependency, and dependency information indicating the dependency relationship are associated with each other. And
The impact determination step determines whether or not the physical characteristic parameters corresponding to the nodes included in the search result are dependent on at least one influencing factor.
The search result output step outputs, together with the search result, a combination of a physical characteristic parameter and an influential factor determined to have a dependency in the influence determination step, and the dependency information thereof.
Search method. In claim 9.
The influence factor database includes at least one of an environment description database, a morphology description database and a size description database.
The environment description database includes at least one of temperature, pressure, electric field, and magnetic field as an influential factor, and is dependent information indicating the dependency relationship of the physical characteristic parameters depending on the influential factor among the plurality of physical characteristic parameters. And memorize it
The morphological description database includes at least one of spherical, columnar, linear, cluster, surface area / volume ratio, orientation direction and dispersion as an influential factor, and depends on the influential factor among the plurality of physical characteristic parameters. Dependency information indicating the dependency of the physical characteristic parameter is stored in association with each other.
The size description database includes at least one of length, diameter, nano, micro, and bulk as an influential factor, and shows the dependency relationship of the physical characteristic parameters depending on the influential factor among the plurality of physical characteristic parameters. Store in association with dependency information,
Search method. In claim 9.
The search result output step displays the search result on one or more paths or subgraphs including a plurality of nodes and edges, and together, corresponds to the physical characteristic parameters determined to have a dependency in the influence determination step. Display the corresponding dependency information for a node,
Search method. In claim 11,
In the search result output step, the influence factor determined to have a dependency in the influence determination step is added and displayed as a new node, and the node corresponding to the new node and the physical property parameter depending on the influence factor is displayed. Add and display a new edge between and
Search method. In claim 12,
The search result output step displays the corresponding dependency information on the corresponding node and / or edge for the physical characteristic parameter determined to have the dependency of at least one influence factor in the influence determination step.
Search method. In claim 12 or 13,
The search result output step displays the positive / negative of the correlation as the dependency information to be displayed on the node corresponding to the physical property parameter determined to have the dependency of at least one influence factor in the influence determination step.
Search method. In any one of claims 11 to 14,
The search method further includes an influencing factor designation step.
In the influence factor designation step, one or more influence factors among the influence factors determined to have a dependency in the influence determination step are designated from the outside.
The search result output step displays the dependency information about the influence factor specified in the influence factor designation step, and excludes the dependency information about the influence factor not specified from the display.
Search method. In claim 9.
The search method further includes a search condition limiting step.
In the search condition limitation step, a search limitation condition including one or a plurality of influence factors determined to have a dependency in the influence determination step and the dependency information corresponding to the influence factor is specified from the outside. Being done
The search result output step preferentially displays a route or a subgraph that satisfies the search limitation condition specified in the search condition limitation step among the search results.
Search method.

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