JP2020187647A - Search method, search program, and information processing system - Google Patents

Abstract

To facilitate finding a node corresponding to a designated compound name.SOLUTION: A client device displays a technical document 1801 on a display 606. A service user browses the technical document 1801. The service user clicks a character string in the technical document. The clicked character string may be a character string corresponding to an abstract compound name. The client device inquires of an information processing unit the information relating to the clicked character string. The information processing unit displays information about the compound name corresponding to the clicked character string on the client device by tracking links between the nodes in the knowledge graph 1300.SELECTED DRAWING: Figure 18

Description

The present invention relates to a search method, a search program, and an information processing device.

Conventionally, the knowledge graph may be used for information retrieval, information analysis, reading comprehension support, etc. in the field of chemistry. The Knowledge Graph includes, for example, a node indicating a compound name, a node indicating a molecular formula or molecular weight of a compound, a node indicating a function or use of a compound, and the like. For example, when a person reads a technical document such as a patent document or a technical paper in the field of chemistry, the knowledge graph is used to make it possible to search for the compound name described in the technical document, and the molecular formula or molecular weight of the compound, or It is conceivable to make it possible to search for the functions and uses of compounds.

As a prior art, for example, in the compound name group, the bonding position of the substituent by specifying the bonding position of the substituent to be bonded to the mother nucleus of the compound of the compound name including the character string representing the substituent of the target compound. There is something that calculates the number of variations of. Further, for example, there is a technique for detecting a character string representing the name of a partial structure that is the mother core of each compound from the compound names of each compound in the compound group to be classified.

Japanese Unexamined Patent Publication No. 2014-09230 Japanese Unexamined Patent Publication No. 2013-101511

However, in the prior art, it is difficult to find the node corresponding to the specified compound name from the knowledge graph. For example, when an abstract compound name is specified that omits the character string indicating the binding position of the substituent, there is no node in the knowledge graph that directly indicates the specified abstract compound name. It can be difficult to find the node that corresponds to the specified abstract compound name.

In one aspect, the present invention aims to make it easier to find the node corresponding to the specified compound name.

According to one embodiment, a search query for the first compound name is acquired, and based on the acquired search query, a character string indicating a binding position of a substituent contained in the first compound name is specified. , The abstract compound name obtained by removing the specified character string from the first compound name is generated, and the node indicating the generated abstract compound name is searched for in the graph in which the nodes indicating the compound name are linked to each other. , When a node indicating the abstract compound name is found, the link to the node indicating the compound name corresponding to the specified character string is followed from the found node as a starting point in the graph, and the first A search method, a search program, and an information processing apparatus for searching the node corresponding to the compound name of the compound are proposed.

According to one aspect, it becomes possible to easily find the node corresponding to the specified compound name.

FIG. 1 is an explanatory diagram showing an embodiment of a search method according to an embodiment. FIG. 2 is an explanatory diagram showing an example of the service providing system 200. FIG. 3 is a block diagram showing a hardware configuration example of the information processing device 100. FIG. 4 is an explanatory diagram showing an example of the data structure of the graph information table 400. FIG. 5 is an explanatory diagram showing an example of the data structure of the dictionary table 500. FIG. 6 is a block diagram showing a hardware configuration example of the client device 201. FIG. 7 is a block diagram showing a functional configuration example of the information processing apparatus 100. FIG. 8 is a block diagram showing a specific functional configuration example of the information processing apparatus 100. FIG. 9 is an explanatory diagram showing a flow for generating a knowledge graph. FIG. 10 is an explanatory diagram showing an example of extracting a compound name. FIG. 11 is an explanatory diagram (No. 1) showing an example of generating an abstract compound name. FIG. 12 is an explanatory diagram (No. 2) showing an example of generating an abstract compound name. FIG. 13 is an explanatory diagram showing an example of generating the Knowledge Graph 1300. FIG. 14 is an explanatory diagram showing an example of searching for a node that directly indicates the compound name of the search query 1400. FIG. 15 is an explanatory diagram (No. 1) showing an example of searching for a node corresponding to the compound name of the search query. FIG. 16 is an explanatory diagram (No. 2) showing an example of searching for a node corresponding to the compound name of the search query. FIG. 17 is an explanatory diagram (No. 3) showing an example of searching for a node corresponding to the compound name of the search query. FIG. 18 is an explanatory diagram showing a flow in which a service user uses a service. FIG. 19 is an explanatory diagram showing an example in which a service user uses a service. FIG. 20 is a flowchart showing an example of the generation processing procedure. FIG. 21 is a flowchart showing an example of the search processing procedure.

Hereinafter, embodiments of the search method, search program, and information processing apparatus according to the present invention will be described in detail with reference to the drawings.

(Example of a search method according to an embodiment)
FIG. 1 is an explanatory diagram showing an embodiment of a search method according to an embodiment. The information processing apparatus 100 is a computer for searching a node corresponding to a designated compound name from a knowledge graph related to the field of chemistry.

The Knowledge Graph contains nodes that show various information about the compound. The Knowledge Graph includes, for example, a node indicating a compound name, a node indicating a molecular formula or molecular weight of a compound, a node indicating a function or use of a compound, and the like. A compound is a chemical substance consisting of two or more kinds of elements. The compounds are, for example, organic compounds and inorganic compounds.

Here, the knowledge graph is used, for example, for information retrieval, information analysis, reading comprehension support, etc. in the field of chemistry. For example, when a person reads a technical document such as a patent document or a technical paper in the field of chemistry, the knowledge graph is used to make it possible to search for the compound name described in the technical document, and the molecular formula or molecular weight of the compound, or It is conceivable to make it possible to search for the functions and uses of compounds.

The technical document may contain an abstract compound name expressed in an abstraction degree in which the structure is not uniquely specified, rather than a specific compound name expressed in an abstraction degree in which the structure is uniquely identifiable. is there. The specific compound name is, for example, a compound name in which the bonding position of the substituent is specified. On the other hand, the abstract compound name is, for example, a compound name expressed by a degree of abstraction in which the bonding position of the substituent is not specified. The abstract compound name is, for example, a compound name in which the character string indicating the bonding position of the substituent is omitted.

For example, the compound name "1-ethoxy-2-propanol" and the compound name "2-ethoxy-2-propanol" are specific compound names in which the bonding position between the ethoxy group and the hydroxy group is clearly indicated. .. On the other hand, the compound name "1-ethoxypropanol" and the compound name "2-ethoxypropanol" are abstract compound names expressed with a degree of abstraction in which the bonding position of the hydroxy group is not specified.

Therefore, making the Knowledge Graph include nodes that indicate abstract compound names in addition to nodes that indicate specific compound names makes the Knowledge Graph information retrieval, information analysis, or reading comprehension support related to the field of chemistry. It is considered preferable from the viewpoint of using it for such purposes.

On the other hand, it is an abstract that is specified by removing the character string indicating the binding position of one substituent by separating one number with a predetermined symbol from the specific compound name registered in the existing dictionary. A first method of generating a knowledge graph containing nodes indicating compound names can be considered. Existing dictionaries include, for example, ChEBI (Chemical Entities of Biological Interest) and the Japanese Chemical Substances Dictionary. Predetermined symbols are, for example, hyphens, commas, parentheses, coatings and the like.

In the first method, for example, it is conceivable to remove each of the character strings indicating the bonding positions of one substituent from the specific compound name to specify the abstract compound name. In the first method, for example, the character string "-2-" indicating the bonding position of the hydroxy group is removed from the specific compound name "1-ethoxy-2-propanol", and the abstract compound name "1-2" is removed. It is conceivable to identify "1-ethoxypropanol".

However, in the above first method, the more the character string indicating the bonding position of one substituent is included in the specific compound name, the more abstract compound names are specified, and the knowledge graph. This leads to an increase in the number of nodes included in. Then, as the number of nodes included in the knowledge graph increases, the time required to find the node corresponding to the specific compound name increases, and the node corresponding to the specific compound name can be found. It gets harder.

The specific compound name is "(2R) -2α, 3,7,8-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4-hydroxy. -2,3,6,9-tetrahydronaphtho [1,2-b] furan-6,9-dione ". Since this specific compound name contains 16 character strings indicating the bonding position of one substituent, each of the character strings indicating the bonding position of one substituent is removed from this specific compound name. There are 65536 patterns to be used. As a result, 65536 abstract compound names will be identified from this specific compound name, which will lead to an increase in the number of nodes included in the knowledge graph.

For this reason, from a specific compound name, instead of a character string indicating the bond position of one substituent, a character indicating the bond positions of one or more substituents collectively by separating one or more numbers with a predetermined symbol. A second method is conceivable that removes the columns to generate the identified nodes with abstract compound names. The second method then generates a knowledge graph that includes nodes showing abstract compound names. According to this, it is possible to reduce the number of nodes included in the knowledge graph.

The specific compound name is "(2R) -2α, 3,7,8-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4-hydroxy. -2,3,6,9-tetrahydronaphtho [1,2-b] furan-6,9-dione ". Since this specific compound name contains eight character strings that collectively indicate the bonding positions of one or more substituents, the bonding positions of one or more substituents are collectively indicated from this specific compound name. There are 256 patterns for removing each of the character strings. As a result, 256 abstract compound names will be identified from this specific compound name.

Even with the second method described above, it may be difficult to find a node corresponding to a specific compound name. For example, in the second method described above, the knowledge graph may not include a node indicating an abstract compound name obtained by removing a character string indicating a bond position of one substituent from a specific compound name. .. For this reason, it becomes impossible to find a node that directly indicates the abstract compound name obtained by removing the character string indicating the bond position of one substituent from the specific compound name. As a result, the molecular formula and molecular weight of the compound corresponding to the abstract compound name obtained by removing the character string indicating the bond position of one substituent from the specific compound name, or the function and use of the compound are searched. You can't do that either.

Therefore, in the present embodiment, a search method that can easily find the node corresponding to the specified compound name will be described. In the following description, an abstract compound name expressed by a degree of abstraction whose structure is not uniquely specified may be referred to as an "abstract compound name".

(1-1) The information processing apparatus 100 stores a graph G in which nodes indicating compound names are linked to each other. Graph G is, for example, a knowledge graph. In the example of FIG. 1, graph G includes node N1 and node N2. Node N1 indicates the abstract compound name n1. The abstract compound name n1 is "(2R) -2α-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4-hydroxy-2,3,6. 9-Tetrahydronaphtho [1,2-b] furan-6,9-dione ".

Further, the node N2 indicates the compound name n2. The compound name n2 is "(2R) -2α, 3,7,8-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4-hydroxy-2. , 3,6,9-tetrahydronaphtho [1,2-b] furan-6,9-dione ". The abstract compound name n1 corresponds to the compound name obtained by removing the character string “, 3, 7, 8” indicating the bonding positions of the three substituents by separating three numbers with predetermined symbols from the compound name n2.

(1-2) The information processing apparatus 100 acquires a search query Q regarding the first compound name nq. The first compound name nq is "(2R) -2α, 7,8-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4-hydroxy- 2,3,6,9-tetrahydronaphtho [1,2-b] furan-6,9-dione ". The first compound name nq corresponds to the compound name obtained by removing the character string “, 3” indicating the bonding position of one substituent by separating one number with a predetermined symbol from the compound name n2.

(1-3) The information processing apparatus 100 specifies a character string indicating the binding position of the substituent contained in the first compound name nq based on the acquired search query Q. In the example of FIG. 1, the information processing apparatus 100 specifies a character string ", 7, 8" indicating the bonding position of one or more substituents by separating one or more numbers with a predetermined symbol.

(1-4) The information processing apparatus 100 generates an abstract compound name obtained by removing the specified character string from the first compound name nq. In the example of FIG. 1, the information processing apparatus 100 has the abstract compound name "(2R) -2α-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4. -Hydroxy-2,3,6,9-tetrahydronaphtho [1,2-b] furan-6,9-dione "is produced.

(1-5) The information processing apparatus 100 searches the graph G for a node indicating the generated abstract compound name. In the example of FIG. 1, the information processing apparatus 100 finds the node N1 indicating the generated abstract compound name in the graph G as a result of the search.

(1-6) When the information processing apparatus 100 finds a node showing an abstract compound name, a link to a node showing the compound name corresponding to the specified character string is started in the graph G from the found node. Is followed to search for the node corresponding to the first compound name nq. In the example of FIG. 1, the information processing apparatus 100 follows a link from the found node N1 to the node N2 indicating the compound name including the specified character string ", 7, 8" in the graph G. The node corresponding to the first compound name nq is searched.

Specifically, the information processing apparatus 100 includes the specified character string ", 7, 8" in the graph G at the same position as the first compound name nq, starting from the found node N1. The node corresponding to the first compound name nq is searched by following the link to the node N2 indicating. Here, the information processing apparatus 100 discovers the node N2 as the node corresponding to the first compound name nq.

As a result, the information processing apparatus 100 can find the node corresponding to the first compound name nq even if the node directly indicating the first compound name nq does not exist. Therefore, the information processing apparatus 100 can use the graph G to enable information retrieval, information analysis, reading comprehension support, and the like. In the information processing apparatus 100, for example, when a person reads a technical document such as a patent document or a technical paper in the field of chemistry, the molecular formula or molecular weight of the compound or the molecular weight of the compound is determined from the abstract compound name described in the technical document. Functions and uses can be searched.

(Example of service providing system 200)
Next, using FIG. 2, the information processing apparatus 100 shown in FIG. 1 is applied, and the service providing system 200 that provides services such as information retrieval, information analysis, or reading comprehension support using the knowledge graph. An example will be described.

FIG. 2 is an explanatory diagram showing an example of the service providing system 200. In FIG. 2, the service providing system 200 includes an information processing device 100 and one or more client devices 201.

In the service providing system 200, the information processing device 100 and the client device 201 are connected via a wired or wireless network 210. The network 210 is, for example, a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, or the like.

The information processing device 100 is a computer that generates a knowledge graph and stores it using the graph information table 400 described later in FIG. The graph information table 400 stores a knowledge graph in the form of, for example, RDF (Resource Description Framework). The information processing apparatus 100 refers to, for example, the dictionary information described later in FIG. 5 to generate a node indicating a compound name. Further, the information processing apparatus 100 identifies the abstract compound name from the compound name, for example, and generates a node indicating the abstract compound name.

The information processing apparatus 100 generates a knowledge graph by linking the generated node indicating the compound name and the node indicating the abstract compound name between the nodes. Then, the information processing apparatus 100 provides services such as information retrieval, information analysis, or reading comprehension support by searching for a node indicating a compound name or a node indicating an abstract compound name using a knowledge graph. It is provided to the service user via 201. The information processing device 100 is, for example, a server, a PC (Personal Computer), or the like.

The client device 201 is a computer used by the service user. The client device 201 communicates with the information processing device 100 and displays information about the compound, for example, based on the operation input of the service user. The client device 201 is, for example, a PC, a tablet terminal, a smartphone, or the like.

Specifically, a service user may try to search for a predetermined abstract compound name described in a technical document. In this case, the information processing device 100 searches for a predetermined abstract compound name, searches for information on the predetermined abstract compound name, and provides information on the predetermined abstract compound name to the service user via the client device 201. can do. Information on the abstract compound name includes the compound name included in the abstract compound name, the molecular formula and molecular weight of the compound corresponding to the compound name included in the abstract compound name, or the function and use of the compound.

Specifically, it is conceivable that the information processing apparatus 100 automatically analyzes the information regarding the predetermined abstract compound name described in the technical document and stores the information in association with the predetermined abstract compound name. In this case, the information processing apparatus 100 can accurately identify and store information regarding a predetermined abstract compound name.

Here, the case where the information processing device 100 is a device different from the client device 201 has been described, but the present invention is not limited to this. For example, the information processing device 100 may be integrated with the client device 201.

Here, the case where the information processing apparatus 100 generates the knowledge graph and provides the service has been described, but the present invention is not limited to this. For example, a device different from the information processing device 100 may generate a knowledge graph, and the information processing device 100 may acquire the knowledge graph and provide a service.

(Example of hardware configuration of information processing device 100)
Next, a hardware configuration example of the information processing apparatus 100 will be described with reference to FIG.

FIG. 3 is a block diagram showing a hardware configuration example of the information processing device 100. In FIG. 3, the information processing apparatus 100 includes a CPU (Central Processing Unit) 301, a memory 302, a network I / F (Interface) 303, a recording medium I / F 304, and a recording medium 305. Further, each component is connected by a bus 300.

Here, the CPU 301 controls the entire information processing apparatus 100. The memory 302 includes, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), a flash ROM, and the like. Specifically, for example, a flash ROM or ROM stores various programs, and RAM is used as a work area of CPU 301. The program stored in the memory 302 is loaded into the CPU 301 to cause the CPU 301 to execute the coded process.

The network I / F 303 is connected to the network 210 through a communication line, and is connected to another computer via the network 210. Then, the network I / F 303 controls the internal interface with the network 210 and controls the input / output of data from another computer. The network I / F 303 is, for example, a modem or a LAN adapter.

The recording medium I / F 304 controls read / write of data to the recording medium 305 according to the control of the CPU 301. The recording medium I / F 304 is, for example, a disk drive, an SSD (Solid State Drive), a USB (Universal Serial Bus) port, or the like. The recording medium 305 is a non-volatile memory that stores data written under the control of the recording medium I / F 304. The recording medium 305 is, for example, a disk, a semiconductor memory, a USB memory, or the like. The recording medium 305 may be detachable from the information processing device 100.

The information processing device 100 may include, for example, a keyboard, a mouse, a display, a printer, a scanner, a microphone, a speaker, and the like, in addition to the above-described components. Further, the information processing apparatus 100 may have a plurality of recording media I / F 304 and recording media 305. Further, the information processing device 100 does not have to have the recording medium I / F 304 or the recording medium 305.

(Data structure of graph information table 400)
Next, an example of the data structure of the graph information table 400 will be described with reference to FIG. The graph information table 400 is realized, for example, by a storage area such as a memory 302 or a recording medium 305 of the information processing apparatus 100 shown in FIG.

FIG. 4 is an explanatory diagram showing an example of the data structure of the graph information table 400. As shown in FIG. 4, the graph information table 400 has fields for a subject, a predicate, and an object. The graph information table 400 stores graph information as a record by setting information in each field.

The subject field is set with a label that identifies the node contained in the Knowledge Graph. Labels are words related to the field of chemistry. The label is, for example, a specific compound name or an abstract compound name. The label may be, for example, the molecular formula or molecular weight of the compound, or the function or use of the compound. The object field is set with a label that identifies the node contained in the Knowledge Graph.

URI (Uniform Resource Identifier) may be set in the fields of the subject and the object. In the predicate field, a predicate indicating the relationship between the nodes is set. The predicate indicates, for example, the relationship between the URI set in the subject field and the URI set in the object field. The predicate is, for example, "label", "is-a", "same-as", and the like.

“Label” indicates that the URI of the subject field is the notation given to the compound name of the object field. “Is-a” indicates that the URI of the subject field is included under the URI of the object field. “Is-a” indicates, for example, that the URI assigned to the specific compound name is included in the subordinate of the URI assigned to the abstract compound name. “Same-as” indicates that a synonymous relationship is established between URIs.

(Data structure of dictionary table 500)
Next, an example of the data structure of the dictionary table 500 will be described with reference to FIG. The dictionary table 500 is realized, for example, by a storage area such as a memory 302 or a recording medium 305 of the information processing apparatus 100 shown in FIG.

FIG. 5 is an explanatory diagram showing an example of the data structure of the dictionary table 500. As shown in FIG. 5, the dictionary table 500 has fields for compound names and URIs. The dictionary table 500 stores the dictionary information as a record by setting the information in each field.

The compound name is set in the compound name field. In the field of URI, the URI previously assigned to the compound name is set. The information processing apparatus 100 may store an existing knowledge graph instead of the dictionary table 500.

(Example of hardware configuration of client device 201)
Next, a hardware configuration example of the client device 201 included in the service providing system 200 shown in FIG. 2 will be described with reference to FIG.

FIG. 6 is a block diagram showing a hardware configuration example of the client device 201. In FIG. 6, the client device 201 includes a CPU 601, a memory 602, a network I / F 603, a recording medium I / F 604, a recording medium 605, a display 606, and an input device 607. Further, each component is connected by a bus 600.

Here, the CPU 601 controls the entire client device 201. The memory 602 includes, for example, a ROM, a RAM, a flash ROM, and the like. Specifically, for example, a flash ROM or ROM stores various programs, and RAM is used as a work area of CPU 601. The program stored in the memory 602 is loaded into the CPU 601 to cause the CPU 601 to execute the coded process.

The network I / F 603 is connected to the network 210 through a communication line, and is connected to another computer via the network 210. Then, the network I / F 603 controls the internal interface with the network 210 and controls the input / output of data from another computer. The network I / F 603 is, for example, a modem or a LAN adapter.

The recording medium I / F 604 controls read / write of data to the recording medium 605 according to the control of the CPU 601. The recording medium I / F 604 is, for example, a disk drive, an SSD, a USB port, or the like. The recording medium 605 is a non-volatile memory that stores data written under the control of the recording medium I / F 604. The recording medium 605 is, for example, a disk, a semiconductor memory, a USB memory, or the like. The recording medium 605 may be detachable from the client device 201.

The display 606 displays data such as a cursor, an icon, a toolbox, a document, an image, and functional information. The display 606 is, for example, a CRT (Cathode Ray Tube), a liquid crystal display, an organic EL (Electroluminescence) display, or the like. The input device 607 has keys for inputting characters, numbers, various instructions, and the like, and inputs data. The input device 607 may be a keyboard, a mouse, or the like, or may be a touch panel type input pad, a numeric keypad, or the like.

The client device 201 may include, for example, a printer, a scanner, a microphone, a speaker, and the like, in addition to the above-described components. Further, the client device 201 may have a plurality of recording media I / F 604 and recording media 605. Further, the client device 201 does not have to have the recording medium I / F 604 or the recording medium 605.

(Example of functional configuration of information processing device 100)
Next, a functional configuration example of the information processing apparatus 100 will be described with reference to FIG. 7.

FIG. 7 is a block diagram showing a functional configuration example of the information processing apparatus 100. The information processing device 100 includes a storage unit 700, an acquisition unit 701, a first generation unit 702, a second generation unit 703, a first search unit 704, a second search unit 705, and an output unit. 706 and is included.

The storage unit 700 is realized by, for example, a storage area such as the memory 302 or the recording medium 305 shown in FIG. Hereinafter, the case where the storage unit 700 is included in the information processing device 100 will be described, but the present invention is not limited to this. For example, the storage unit 700 may be included in a device different from the information processing device 100, and the stored contents of the storage unit 700 may be referred to by the information processing device 100.

The acquisition unit 701 to the output unit 706 function as an example of the control unit. Specifically, the acquisition units 701 to the output unit 706 are made by causing the CPU 301 to execute a program stored in a storage area such as the memory 302 or the recording medium 305 shown in FIG. 3, or the network I / F 303. To realize the function. The processing result of each functional unit is stored in a storage area such as the memory 302 or the recording medium 305 shown in FIG. 3, for example.

The storage unit 700 stores various information referred to or updated in the processing of each functional unit. The storage unit 700 can store the knowledge graph. The storage unit 700 stores the knowledge graph using, for example, the graph information table 400 shown in FIG. Specifically, the storage unit 700 uses the graph information table 400 shown in FIG. 4 to store the labels given to the nodes included in the knowledge graph and the relationships between the labels.

Further, the storage unit 700 may store, for example, a dictionary showing the compound name. Specifically, the storage unit 700 stores the dictionary table 500 shown in FIG. Further, the storage unit 700 may store, for example, a sentence set. The sentence set is, for example, a corpus.

The acquisition unit 701 acquires various information used for processing of each functional unit. The acquisition unit 701 stores various acquired information in the storage unit 700 or outputs the acquired information to each function unit. Further, the acquisition unit 701 may output various information stored in the storage unit 700 to each function unit. The acquisition unit 701 acquires various information based on, for example, the operation input of the user. The acquisition unit 701 may receive various information from a device different from the information processing device 100, for example.

The acquisition unit 701 acquires, for example, a dictionary and a sentence set. More specifically, the acquisition unit 701 acquires the dictionary table 500 and the corpus. As a result, the acquisition unit 701 can acquire information as an index for automatically generating a node indicating the compound name and provide it to each functional unit. The acquisition unit 701 can provide a dictionary and a sentence set to the first generation unit 702 so that, for example, a node indicating a compound name can be generated.

Further, for example, when the acquisition unit 701 does not generate the node indicating the compound name in the first generation unit 702, the acquisition unit 701 may acquire the node indicating the compound name from the existing knowledge graph. As a result, the acquisition unit 701 can specify the abstract compound name in the second generation unit 703 without generating the node indicating the compound name in the first generation unit 702, and the compound in the second generation unit 703. A node indicating the name can be provided.

In addition, the acquisition unit 701 acquires a search query relating to the first compound name. The first compound name is a specific compound name or an abstract compound name. As a result, the acquisition unit 701 can specify the name of the first compound to be searched by the first search unit 704 and the second search unit 705, and the first search unit 704 and the second search unit 704 and the second. The search unit 705 of the above can start the operation.

The first generation unit 702 extracts a plurality of character strings satisfying the conditions as the compound name from the sentence set. The first generation unit 702 extracts, for example, a character string in which specific characters such as katakana, alphabets, numbers, symbols, and some Chinese characters are continuous from the corpus as candidates for compound names. Specifically, the first generation unit 702 extracts the character string "5- (3,4-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on" as a candidate for the compound name. To do. An example of extracting a plurality of character strings as candidate compound names will be described later with reference to FIG. As a result, the first generation unit 702 can extract the candidate of the compound name and acquire the index for generating the node indicating the compound name.

The first generation unit 702 generates a node indicating a character string determined to be a compound name from a plurality of extracted character strings by referring to dictionary information for storing the compound name, and includes the generated node. Generate a knowledge graph. The first generation unit 702 determines, for example, among the extracted compound name candidates that match the compound name registered in the dictionary table 500 as the compound name, and assigns the URI registered in the dictionary table 500. .. Then, the first generation unit 702 stores the URI assigned to the compound name using the graph information table 400, and generates a knowledge graph including a node indicating the compound name. Specifically, the first generation unit 702 determines that the compound name candidate "5- (3,4-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -one" is the compound name. Give URI.

As a result, the first generation unit 702 can generate a node indicating the compound name to be included in the knowledge graph, and can generate the knowledge graph. Further, since the first generation unit 702 generates a node indicating the compound name based on the corpus, for example, it is possible to suppress an enormous increase in the number of nodes indicating the compound name. Specifically, the first generation unit 702 is a node indicating a compound name that is determined to be likely to appear in the technical document when the service user browses the technical document, and is a knowledge graph from the viewpoint of using the service. It is possible to generate a node indicating a compound name preferably contained in.

Here, the case where the first generation unit 702 generates the knowledge graph by referring to the corpus and dictionary information has been described, but the present invention is not limited to this. For example, the first generation unit 702 may generate a knowledge graph including one or more nodes acquired by the acquisition unit 701.

The second generation unit 703 generates a new node indicating the abstract compound name by removing the character string indicating the bonding position of the substituent from the compound name indicated by any node in the generated knowledge graph, and generates one of the nodes. Link to the top of the node and add it to the Knowledge Graph.

The second generation unit 703 selects, for example, any node in the generated knowledge graph. Next, the second generation unit 703 removes a character string that is a combination of one or more numbers indicating the bonding position of the substituent and a predetermined symbol from the compound name indicated by any of the selected nodes. Create a new node that indicates. Specifically, the character string to be removed is a character string in which one or more numbers are separated by a predetermined symbol, and each of the one or more numbers indicates the bonding position of one or more substituents. Then, the second generation unit 703 links the generated new node to the upper level of any of the selected nodes and adds it to the knowledge graph.

The second generation unit 703 specifically indicates the compound name "5- (3,4-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -one" in the generated knowledge graph. Select a node. Next, the second generation unit 703 has a number of 1 or more from the compound name "5- (3,4-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on" indicated by the selected node. The abstract compound name "5- (3,4-dihydroxybenzyl) -dihydrofuran-2 (3H) -on" from which the character string "4,5" separated by a predetermined symbol is removed is specified. Then, the second generation unit 703 generates a new node having the specified abstract compound name "5- (3,4-dihydroxybenzyl) -dihydrofuran-2 (3H) -on", and of the selected node. Link to the top and add to the knowledge graph.

More specifically, the second generator 703 is assigned to the node having the compound name "5- (3,4-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on". Is linked to the URI assigned to the abstract compound name "5- (3,4-dihydroxybenzyl) -dihydrofuran-2 (3H) -on" in relation to "is-a". Then, the second generation unit 703 stores the linked result by using the graph information table 400.

In addition, the second generation unit 703 specifically, from the compound name "5- (3,4-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on" indicated by the selected node. The abstract compound name "5- (dihydroxybenzyl) -dihydrofuran-2 (3H) -on" may be specified by removing the character string "3, 4" in which one or more numbers are separated by a predetermined symbol. Then, the second generation unit 703 generates a new node showing the specified abstract compound name "5- (dihydroxybenzyl) -dihydrofuran-2 (3H) -on" and links it to the upper part of the selected node. And add it to the knowledge graph. An example of specifying the abstract compound name will be described later with reference to FIGS. 11 and 12. As a result, the second generation unit 703 can specify the abstract compound name, generate a node indicating the abstract compound name, and add it to the knowledge graph.

The second generation unit 703 may select, for example, a new node added to the knowledge graph, recursively specify the abstract compound name, and generate a new node indicating the specified abstract compound name. Specifically, the second generation unit 703 selects a node in the knowledge graph showing the abstract compound name "5- (3,4-dihydroxybenzyl) -dihydrofuran-2 (3H) -on". Next, the second generation unit 703 predetermined a number of 1 or more from the abstract compound name "5- (3,4-dihydroxybenzyl) -dihydrofuran-2 (3H) -on" indicated by the selected node. The abstract compound name "5- (dihydroxybenzyl) -dihydrofuran-2 (3H) -on" from which the character string "3,4" separated by a symbol is removed is specified. Then, the second generation unit 703 generates a new node showing the specified abstract compound name "5- (dihydroxybenzyl) -dihydrofuran-2 (3H) -on" and links it to the upper part of the selected node. And add it to the knowledge graph. As a result, the second generation unit 703 can recursively specify the abstract compound name, generate a node indicating the abstract compound name, and further add it to the knowledge graph.

In the generated knowledge graph, the second generation unit 703 has a predetermined number of nodes indicating the compound name that becomes the same abstract compound name as the specified abstract compound name when the character string indicating the bonding position of the substituent is removed. It may be determined whether or not the above exists. The predetermined number is, for example, 2. Further, in the second generation unit 703, when the character string indicating the bonding position of the substituent is removed, the node indicating the abstract compound name that establishes a synonymous relationship with the specified abstract compound name in the corresponding structural information is generated. , It may be determined whether or not there are more than a predetermined number. The structural information is, for example, a demonstrative expression. The structural information may be information based on a notation representing the structure, for example, SMILES, InChI, or the like.

Then, the second generation unit 703 generates a new node indicating the specified abstract compound name when there are a predetermined number or more. On the other hand, the second generation unit 703 does not have to generate a new node indicating the specified abstract compound name when the number does not exist in a predetermined number or more. As a result, the second generation unit 703 can suppress the enormous number of nodes indicating the abstract compound name. Here, for example, when there is one compound name included under the abstract compound name, even if the second generation unit 703 generates a node indicating the abstract compound name, it may be difficult to utilize it for the service. Conceivable. Therefore, the second generation unit 703 does not generate a node indicating an abstract compound name that is difficult to be used for the service, suppresses an increase in the size of the knowledge graph, and can efficiently provide the service.

The second generation unit 703 indicates a new abstract compound name when an abstract compound name obtained by removing the character string indicating the bonding position of the substituent from the compound name indicated by any node appears in the sentence set above the threshold value. Nodes may be created. The threshold is, for example, 1. As a result, the second generation unit 703 can suppress the enormous number of nodes indicating the abstract compound name. The second generation unit 703 can easily generate, for example, a node indicating an abstract compound name that is determined to be likely to appear in the technical document when the service user browses the technical document. In addition, the second generation unit 703 can easily generate a node indicating an abstract compound name that is preferably included in the knowledge graph from the viewpoint of using it for a service, for example.

The second generation unit 703 may link nodes indicating abstract compound names that are determined to have a synonymous relationship. For example, the second generation unit 703 links the URIs assigned to the abstract compound names determined to have a synonymous relationship with each other by the relationship of "same-as", and stores them using the graph information table 400. .. As a result, the second generation unit 703 can appropriately link the nodes on the knowledge graph.

The first search unit 704 identifies a character string indicating the binding position of the substituent contained in the first compound name based on the acquired search query. The first search unit 704 is, for example, a new node indicating an abstract compound name obtained by removing a character string obtained by combining a number 1 or more indicating a binding position of a substituent and a predetermined symbol from the compound name indicated by the search query. To generate. Specifically, the character string to be removed is a character string in which one or more numbers are separated by a predetermined symbol, and each of the one or more numbers indicates the bonding position of one or more substituents. Specifically, the first search unit 704 is the character included in the first compound name "5- (3-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on" indicated by the search query. Identify column "3-".

The first search unit 704 generates an abstract compound name obtained by removing the specified character string from the first compound name. Specifically, the first search unit 704 was identified from the first compound name "5- (3-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on" indicated by the search query. The abstract compound name "5- (dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -one" from which the character string "3-" is removed is generated.

The first search unit 704 searches the knowledge graph for a node indicating the generated abstract compound name. Specifically, the first search unit 704 searches the knowledge graph for the node showing the generated abstract compound name "5- (dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on". To do. As a result, the first search unit 704 can obtain the first compound name indicated by the acquired search query even if there is no node in the knowledge graph that directly indicates the first compound name indicated by the acquired search query. You can find the node that indicates the name of the abstract compound to be included.

In addition, the first search unit 704 may search the knowledge graph for a node that directly indicates the first compound name indicated by the acquired search query. As a result, if there is a node in the knowledge graph that directly indicates the first compound name indicated by the acquired search query, the first search unit 704 directly indicates the first compound name indicated by the acquired search query. You can discover the node.

Further, when the first search unit 704 does not find the node indicating the abstract compound name, the first search unit 704 further indicates a character string indicating the bonding position of the substituent contained in the first compound name, which is different from the identified character string. May be specified. Then, the first search unit 704 generates an abstract compound name by removing all the specified character strings from the first compound name, and searches the knowledge graph for a node indicating the generated abstract compound name.

Specifically, when the first search unit 704 does not find a node having the abstract compound name "5- (dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on", the first search unit 704 is the first. The character string "5-" contained in the compound name "5- (3-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on" is specified. Next, the first search unit 704 identifies the character string "3-" from the first compound name "5- (3-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on". And the abstract compound name "(dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -one" from which "5-" has been removed is produced.

Then, the first search unit 704 searches the knowledge graph for the node showing the generated abstract compound name "(dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on". As a result, the first search unit 704 generates another abstract compound name with a higher degree of abstraction even if the node indicating the previously generated abstract compound name does not exist in the knowledge graph, and the first search unit 704 generates the first abstract compound name. You can find nodes that indicate abstract compound names that include compound names.

When the first search unit 704 finds a node indicating an abstract compound name, the second search unit 705 indicates the compound name corresponding to the specified character string starting from the found node in the knowledge graph. Follow the link to the node to find the node corresponding to the first compound name. The compound name corresponding to the specified character string is a compound name containing the specified character string at the same position as the first compound name. The second search unit 705, for example, follows a link to a node indicating a compound name that includes the specified character string at the same position as the first compound name in the knowledge graph, starting from the found node. , Search for the node corresponding to the first compound name.

Here, an example is taken when the first search unit 704 discovers a node having the abstract compound name "5- (dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on". Specifically, the second search unit 705 starts with the node indicating the discovered abstract compound name "5- (dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on", and the character string " Follow the link to the compound name "5- (3,4-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -on" containing "3-" to find the node corresponding to the first compound name. Search for. As a result, the second search unit 705 finds a node indicating the abstract compound name corresponding to the first compound name even if the node directly indicating the first compound name does not exist in the knowledge graph. Can be done. The second search unit 705 can find, for example, a node indicating the lowest level abstract compound name among the abstract compound names including the first compound name.

The output unit 706 outputs the processing result of any of the functional units. The output format is, for example, display on a display, print output to a printer, transmission to an external device by network I / F 303, or storage in a storage area such as a memory 302 or a recording medium 305. As a result, the output unit 706 can notify the user of the processing result of each functional unit.

The output unit 706 outputs, for example, a knowledge graph generated by the first generation unit 702 and the second generation unit 703 with nodes added. Specifically, the output unit 706 outputs the graph information table 400 shown in FIG. As a result, the output unit 706 can make the Knowledge Graph available for services such as information retrieval, information analysis, or reading comprehension support. Further, the output unit 706 may display the knowledge graph generated by the first generation unit 702 and the node added by the second generation unit 703 on the client device 201, for example. As a result, the output unit 706 can make the knowledge graph viewable by the service user.

The output unit 706 is, for example, the abstract compound name indicated by the node discovered by the second search unit 705, the molecular formula or molecular weight of the compound indicated by the node existing below the node discovered by the second search unit 705, or the compound. Outputs the functions and applications of. Specifically, the output unit 706 includes the abstract compound name indicated by the node discovered by the second search unit 705, the molecular formula and molecular weight of the compound indicated by the node existing below the node discovered by the second search unit 705, and the like. Alternatively, the function and use of the compound are displayed on the client device 201. As a result, the output unit 706 can make the abstract compound name, the molecular formula and molecular weight of the compound, the function and use of the compound, etc. available to the service user, and can be used for information retrieval, information analysis, or reading comprehension support. Such services can be realized.

Here, the case where the information processing apparatus 100 generates the knowledge graph by the first generation unit 702 and the second generation unit 703 has been described, but the present invention is not limited to this. For example, even if the information processing apparatus 100 does not have the first generation unit 702 and the second generation unit 703, does not generate the knowledge graph including the node indicating the compound name, and acquires the knowledge graph. Good.

(Specific functional configuration example of the information processing device 100)
Next, a specific functional configuration example of the information processing apparatus 100 that realizes the above-mentioned control unit will be described with reference to FIG.

FIG. 8 is a block diagram showing a specific functional configuration example of the information processing apparatus 100. The information processing device 100 includes a compound name determination unit 801, a compound name abstraction unit 802, a URI generation unit 803, a link generation unit 804, a link number totaling unit 805, and a node determination unit 806. The compound name determination unit 801, the compound name abstraction unit 802, the URI generation unit 803, the link generation unit 804, the link number totaling unit 805, and the node determination unit 806 are knowledge graphs from the compound name list 820. Achieve the operation to generate.

The compound name determination unit 801 accepts the list 820 of the compound name. The compound name determination unit 801 determines whether or not each of the one or more compound names included in the compound name list 820 includes a number indicating the bonding position of the substituent. The compound name determination unit 801 outputs a compound name including a number indicating the bonding position of the substituent to the compound name abstraction unit 802.

When the compound name abstraction unit 802 receives the compound name, the compound name abstraction unit 802 removes the character string indicating the bonding position of the substituent from the compound name to generate the abstract compound name. The URI generation unit 803 adds a new URI to the abstract compound name. The URI generation unit 803 generates a node indicating the abstract compound name by storing the result of adding a new URI to the abstract compound name using the graph information table 400 shown in FIG.

The link generation unit 804 links the URI assigned to the compound name with the URI assigned to the abstract compound name obtained by removing the character string from the compound name. The link generation unit 804 links the nodes by storing the linked result using the graph information table 400 shown in FIG. The link number totaling unit 805 totals the number of other linked URIs for each URI assigned to the compound name.

The node determination unit 806 determines whether or not the number of other URIs linked to the URI assigned to the compound name is equal to or less than the threshold value. If it is equal to or higher than the threshold value, the node determination unit 806 determines the node indicating the compound name as a node to be left in the knowledge graph. If the node determination unit 806 is equal to or less than the threshold value, the node indicating the compound name is deleted by deleting the URI assigned to the compound name from the graph information table 400 shown in FIG.

Further, the information processing device 100 includes a pattern generation unit 807, a node search unit 808, a materialization unit 809, and an information generation unit 810. The compound name determination unit 801, the compound name abstraction unit 802, the pattern generation unit 807, the node search unit 808, the materialization unit 809, and the information generation unit 810 are nodes corresponding to the compound name of the search query 830. Achieve the operation of searching for.

The compound name determination unit 801 accepts the search query 830. The compound name determination unit 801 determines whether or not the compound name of the search query 830 includes a number indicating the bonding position of the substituent. The compound name determination unit 801 outputs the compound name of the search query 830 to the compound name abstraction unit 802 when a number indicating the bonding position of the substituent is included. Further, the compound name determination unit 801 may output the compound name of the search query 830 to the node search unit 808 when the number indicating the binding position of the substituent is not included. Further, the compound name determination unit 801 may output the compound name of the search query 830 to the node search unit 808 even when a number indicating the bonding position of the substituent is included.

When the compound name abstraction unit 802 receives the compound name, the compound name abstraction unit 802 removes the character string indicating the bonding position of the substituent from the compound name to generate the abstract compound name. The pattern generation unit 807 generates and stores a pattern from which the character string has been removed when the abstract compound is generated. The node search unit 808 searches the knowledge graph for a node indicating an abstract compound name. The node search unit 808 may search the knowledge graph for a node that directly indicates the compound name of the search query 830.

The embodying unit 809 refers to the pattern and generates a compound name including the removed character string at the same position as the compound name of the search query 830. The node search unit 808 searches the knowledge graph for the node corresponding to the compound name of the search query 830 in the direction of the node indicating the compound name generated by the materialization unit 809. The information generation unit 810 directly indicates the compound name of the found search query 830, or the molecular formula and weight of the compound, or the function and use of the compound, etc., based on the node corresponding to the compound name of the search query 830. Generates and outputs the attribute information of.

(Operation example of information processing device 100)
Next, an operation example of the information processing apparatus 100 will be described with reference to FIGS. 9 to 17. First, the flow in which the information processing apparatus 100 generates a knowledge graph will be described with reference to FIG.

FIG. 9 is an explanatory diagram showing a flow for generating a knowledge graph. In FIG. 9, the information processing apparatus 100 specifies a compound name by referring to the corpus and dictionary information, and generates a node 900 indicating the specified compound name. Further, the information processing apparatus 100 generates a node 910 indicating the abstract compound name obtained by removing the character string indicating the bonding position of the substituent from the compound name indicated by the node 900. Then, the information processing apparatus 100 forms a knowledge graph by linking the node 910 to the upper level of the node 900.

Next, an example in which the information processing apparatus 100 generates a knowledge graph will be described with reference to FIGS. 10 to 13. Specifically, first, an example in which the information processing apparatus 100 extracts a compound name from which an abstract compound name is generated will be described with reference to FIG.

FIG. 10 is an explanatory diagram showing an example of extracting a compound name. In FIG. 10, the information processing apparatus 100 (10-1) extracts candidate compound names from a corpus including patent documents and the like. Here, for example, in Japanese sentences, compound names tend to be described by specific characters such as katakana, alphabets, numbers, symbols, and some Chinese characters. Therefore, the information processing apparatus 100 extracts a character string in which specific characters are continuous as a candidate for a compound name.

(10-2) Among the compound name candidates, the information processing apparatus 100 specifies a candidate that matches the compound name registered in the dictionary table 500 as a compound name to be generated as a node, and lists the compound names. Generate 1000. Then, the information processing apparatus 100 searches for the URI registered in the dictionary table 500 in association with the specified compound name, and assigns the URI to the specified compound name. The URI corresponds to the label of the node. Here, the information processing apparatus 100 generates a node indicating the specified compound name by storing the result of adding the URI to the compound by using the graph information table 400.

In the example of FIG. 10, the list 1000 of compound names comprises "(2S) -2-amino-2- (4-hydroxyphenyl) acetic acid". List 1000 of compound names is "(2R) -2α, 3,7,8-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4-hydroxy. -2,3,6,9-tetrahydronaphtho [1,2-b] furan-6,9-dione "is included. Listing 1000 of compound names includes "5- (3,4-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -one". List 1000 of compound names includes "propane".

(10-3) The information processing apparatus 100 extracts from the list 1000 of the generated compound names a compound name including a number indicating the bonding position of the substituent as a compound name that is a source for generating the abstract compound name, and the compound. Generate a list of names 1010. Here, the information processing apparatus 100 treats the numbers "2" and the numbers "3" connected to the alphabet such as the character string "2S" and the character string "3E" as numbers that do not indicate the bonding position of the substituent.

In the example of FIG. 10, the list 1010 of compound names comprises "(2S) -2-amino-2- (4-hydroxyphenyl) acetic acid". List 1010 of the compound names is "(2R) -2α, 3,7,8-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4-hydroxy. -2,3,6,9-tetrahydronaphtho [1,2-b] furan-6,9-dione "is included. List 1010 of compound names includes "5- (3,4-dihydroxybenzyl) -4,5-dihydrofuran-2 (3H) -one".

Next, an example in which the information processing apparatus 100 generates an abstract compound name from the extracted compound name will be described with reference to FIGS. 11 and 12.

11 and 12 are explanatory views showing an example of generating an abstract compound name. In FIG. 11, the information processing apparatus 100 (11-1) selects compound name 1100 from the list of compound names 1010. Compound name 1100 refers to "(2R) -2α, 3,7,8-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4-hydroxy-2. , 3,6,9-tetrahydronaphtho [1,2-b] furan-6,9-dione ".

(11-2) The information processing apparatus 100 indicates from the compound name 1100 the bonding position of one or more substituents, and specifies a character string 1101 to 1108 in which one or more numbers and a predetermined symbol are continuous. In the figure, the character strings 1101 to 1108 are underlined. The character strings 1101 to 1108 are "3,7,8", "4", "5", "1,3", "4", "2,3,6,9", "1,2", respectively. It is "6, 9". Next, the description proceeds to FIG.

In FIG. 12, the information processing apparatus 100 recursively removes the character strings 1101 to 1108 from the compound name 1100 to generate an abstract compound name. In the example of FIG. 12, the information processing apparatus 100 removes each of the character strings 1101 to 1108 from the compound name 1100, generates abstract compound names 1201 to 1203, and gives a new URI. The new URI corresponds to the label of the node. Here, the information processing apparatus 100 generates a node indicating the abstract compound name 1201 to 1203 or the like by storing the result of adding a new URI to the abstract compound name 1201 to 1203 or the like by using the graph information table 400. ..

Further, the information processing apparatus 100 removes each of the character strings 1102 to 1108 from the abstract compound name 1201, recursively generates the abstract compound names 1211, 1212 and the like, and assigns a new URI. Here, the information processing apparatus 100 generates a node indicating the abstract compound name 1211, 1212 or the like by storing the result of adding a new URI to the abstract compound name 1211, 1212 or the like using the graph information table 400. .. Similarly, the information processing apparatus 100 recursively generates abstract compound names from abstract compound names 1211, 1212 and the like, repeatedly assigns new URIs, and updates the graph information table 400.

Similarly, the information processing apparatus 100 recursively generates the abstract compound name from the abstract compound names 1202, 1203 and the like, repeatedly adds a new URI, and updates the graph information table 400. Further, the information processing apparatus 100 selects a compound name other than the compound name 1100 from the compound name list 1010, recursively repeatedly generates an abstract compound name, and adds a new URI to the graph information. Update table 400.

Next, an example in which the information processing apparatus 100 generates the Knowledge Graph 1300 including the node indicating the generated abstract compound name will be described with reference to FIG.

FIG. 13 is an explanatory diagram showing an example of generating the Knowledge Graph 1300. In FIG. 13, the information processing apparatus 100 links the URI assigned to the compound name with the URI assigned to the abstract compound name obtained by removing the character string from the compound name in relation to "is-a". .. Further, the information processing apparatus 100 links the URI assigned to the abstract compound name with the URI assigned to the abstract compound name obtained by removing the character string from the abstract compound name in the relationship of "is-a". .. Then, the information processing apparatus 100 links the nodes by storing the linked result using the graph information table 400, and generates the knowledge graph 1300. In the example of FIG. 13, the information processing apparatus 100 generates a knowledge graph 1300 including nodes 1301 to 1304 and the like.

As a result, the information processing apparatus 100 can reflect the relationship between the compound name and the abstract compound name and the relationship between the abstract compound names in the knowledge graph. As a result, the information processing apparatus 100 can generate a knowledge graph that is determined to be preferable from the viewpoint of being used for services such as information retrieval, information analysis, or reading comprehension support. Then, the information processing apparatus 100 can effectively perform information retrieval, information analysis, reading comprehension support, and the like by using the knowledge graph. In the information processing apparatus 100, for example, when a person reads a technical document such as a patent document or a technical paper in the field of chemistry, the molecular formula or molecular weight of the compound or the molecular weight of the compound is determined from the abstract compound name described in the technical document. Functions and uses can be searched.

Further, the information processing apparatus 100 can generate a node indicating a higher level abstract compound name from a node indicating the compound name. Therefore, when the information processing apparatus 100 has a node indicating a superordinate concept of the compound name, a node indicating the abstract compound name is provided between the node indicating the compound name and the node indicating the superordinate concept of the compound name. Can be added.

Here, the information processing apparatus 100 counts the number of URIs assigned to the compound names linked to the new URIs assigned to any of the abstract compound names by the relationship of "is-a". You may determine whether the number of URIs is greater than or equal to the threshold. The threshold is, for example, 2. Then, when the number of URIs is less than the threshold value, the information processing apparatus 100 may delete the new URI assigned to any of the abstract compound names.

For example, it is conceivable that the number of URIs assigned to the compound name, which is linked to the new URI assigned to any of the abstract compound names by the relationship of "is-a", is one. In this case, since one of the abstract compound names includes only one compound name, it may not be useful from the viewpoint of using the service even if a node indicating one of the abstract compound names is generated. is there. Therefore, the information processing apparatus 100 may not generate a node indicating any of the abstract compound names, and may suppress an enormous number of nodes indicating the abstract compound name.

Here, the extracted compound name candidates may include an abstract compound name in addition to the compound name, and may include a character string unrelated to the compound. On the other hand, the information processing apparatus 100 can refer to the dictionary table 500 to prevent an erroneous generation of a node indicating an abstract compound name or a character string unrelated to the compound as a node indicating the compound name. ..

Further, the information processing apparatus 100 can prevent the node indicating the compound name from being generated if the compound name registered in the dictionary table 500 does not exist in the extracted compound name candidates. Therefore, since the information processing apparatus 100 is a node indicating a compound name that tends to appear in a technical document, it is possible to generate a node indicating a compound name that is preferably included in the knowledge graph from the viewpoint of being used for a service. Further, since the information processing apparatus 100 is a node indicating a compound name that is unlikely to appear in a technical document, it is possible not to generate a node indicating a compound name that does not have to be included in the knowledge graph from the viewpoint of using the information processing device 100. it can.

As a result, the information processing apparatus 100 can suppress an enormous number of nodes indicating the compound name. Then, the information processing apparatus 100 can suppress an increase in the size of the knowledge graph, and can suppress a decrease in performance when using the knowledge graph. When using the knowledge graph, for example, the information processing device 100 can reduce the time required to search for a node indicating a predetermined compound name from the knowledge graph.

Next, an example in which the information processing apparatus 100 uses the Knowledge Graph 1300 will be described with reference to FIGS. 14 to 17. First, using FIG. 14, an example will be described in which the information processing apparatus 100 receives the search query 1400 and searches the knowledge graph 1300 for a node directly indicating the compound name of the search query 1400.

FIG. 14 is an explanatory diagram showing an example of searching for a node that directly indicates the compound name of the search query 1400. In FIG. 14, the information processing apparatus 100 receives the search query 1400. The search query 1400 contains the compound name "(2R) -2α, 7,8-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4-hydroxy-2. , 3,6,9-tetrahydronaphtho [1,2-b] furan-6,9-dione ”. The information processing apparatus 100 searches the knowledge graph 1300 for a node that directly indicates the compound name of the search query 1400.

When the information processing apparatus 100 finds a node directly indicating the compound name of the search query 1400 from the knowledge graph 1300, the molecular formula and weight of the compound, or the molecular weight of the compound, indicated by the node linked to the found node, or the compound. Functions and uses may be acquired. As a result, the information processing apparatus 100 can realize services such as information retrieval, information analysis, and reading comprehension support based on the molecular formula and weight of the compound, the function and use of the compound, and the like. In the example of FIG. 14, it is assumed that the information processing apparatus 100 does not find a node directly indicating the compound name of the search query 1400 from the knowledge graph 1300.

Next, with reference to FIGS. 15 to 17, an example will be described in which the information processing apparatus 100 searches the knowledge graph 1300 for a node corresponding to the compound name of the search query.

15 to 17 are explanatory views showing an example of searching for a node corresponding to the compound name of the search query. In FIG. 15, the information processing apparatus 100 indicates a binding position of one or more substituents from the compound name 1500 of the search query 1400, and identifies a character string 1501 to 1508 in which one or more numbers and a predetermined symbol are continuous. .. In the figure, the character strings 1501 to 1508 are underlined.

Compound name 1500 is “(2R) -2α, 7,8-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4-hydroxy-2,3. , 6,9-Tetrahydronaphtho [1,2-b] furan-6,9-dione ". The character strings 1501 to 1508 are "7, 8", "4", "5", "1, 3", "4", "2, 3, 6, 9", "1, 2", "6", respectively. , 9 ". Next, the description proceeds to FIG.

In FIG. 16, the information processing apparatus 100 removes the specified character string 1501 from the compound name 1500 to generate the abstract compound name 1600. The abstract compound name 1600 is "(2R) -2α-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4-hydroxy-2,3,6. 9-Tetrahydronaphtho [1,2-b] furan-6,9-dione ".

The information processing apparatus 100 searches the knowledge graph 1300 for a node indicating the generated abstract compound name 1600. Here, if the information processing apparatus 100 does not find the node indicating the generated abstract compound name 1600, the information processing apparatus 100 may recursively remove the character strings 1502 to 1508 and search for a node indicating another abstract compound name. Good. In the example of FIG. 16, it is assumed that the information processing apparatus 100 has found the node 1610 indicating the generated abstract compound name 1600. Next, the description proceeds to FIG.

In FIG. 17, the information processing apparatus 100 identifies the node 1701 indicating the compound name 1710 including the removed character string 1501 at the same position as the compound name 1500. The information processing apparatus 100 searches for the node corresponding to the compound name 1500 by following the link to the specified node 1701 starting from the found node 1610. In the example of FIG. 17, the information processing apparatus 100 discovers the node 1701 as the node corresponding to the compound name 1500.

Here, it is conceivable that the information processing apparatus 100 removes a plurality of character strings from the compound name 1500 and finds a node indicating the abstract compound name by the operation of FIG. In this case, the information processing apparatus 100 selects the removed character strings one by one, follows the link to the node indicating the compound name including the selected character string at the same position as the compound name 1500, and follows the link to the compound name. Search for the node corresponding to 1500.

Here, the information processing apparatus 100 can avoid searching for the node corresponding to the compound name 1500 by following the link to the node 1702 indicating the specific compound name that does not include the compound name 1500. Therefore, the information processing apparatus 100 can efficiently search for the node corresponding to the compound name 1500.

When the information processing apparatus 100 discovers a node corresponding to the compound name 1500 from the knowledge graph 1300, the molecular formula and molecular weight of the compound, or the function and use of the compound indicated by the node linked to the discovered node. Etc. may be obtained. As a result, the information processing apparatus 100 can realize services such as information retrieval, information analysis, and reading comprehension support based on the molecular formula and weight of the compound, the function and use of the compound, and the like.

Next, an example in which the service user uses a service such as information retrieval, information analysis, or reading comprehension support in the client device 201 will be described with reference to FIGS. 18 and 19.

FIG. 18 is an explanatory diagram showing a flow in which a service user uses a service. In FIG. 18, the client device 201 displays the technical document 1801 on the display 606. The service user browses the technical document 1801.

The service user clicks the character string in the technical document. The character string to be clicked may be the character string corresponding to the abstract compound name. The client device 201 inquires the information processing device 100 for information regarding the clicked character string. The information processing device 100 causes the client device 201 to display information on the compound name corresponding to the clicked character string by following the link between the nodes of the knowledge graph 1300.

In the example of FIG. 18, the service user clicks on "3-ethoxypropanol". The client device 201 inquires of the information processing device 100 for information regarding the character string "3-ethoxypropanol" in response to a click of the character string "3-ethoxypropanol". The information processing apparatus 100 specifies that the abstract compound name "3-ethoxypropanol" includes the compound name "3-ethoxy-1-propanol" with reference to the Knowledge Graph 1300.

Further, the information processing apparatus 100 specifies the molecular formula and molecular weight of the compound, the function and use of the compound, etc. for the compound name "3-ethoxy-1-propanol", generates a commentary 1802, and uses the client apparatus 201. Display it. The commentary 1802 includes, for example, "3-ethoxypropanol is an abstract concept including 3-ethoxy-1-propanol, 1-ethoxy-2-propanol, and the like." Next, the description shifts to FIG.

FIG. 19 is an explanatory diagram showing an example in which a service user uses a service. In FIG. 19, the client device 201 displays the technical document 1900 on the display 606. The service user browses the technical document 1900.

The service user clicks on the character string 1901 in the technical document. The character string 1901 is "(2R) -2α, 7,8-tetramethyl-3α-[(1E, 3E) -4-methyl-5-hydroxy-1,3-pentadienyl] -4-hydroxy-2,3. , 6,9-tetrahydronaphtho [1,2-b] furan-6,9-dione ".

The client device 201 inquires of the information processing device 100 about information about the character string 1901 by transmitting a search query regarding the character string 1901 to the information processing device 100 in response to a click of the character string 1901. The information processing apparatus 100 receives the search query, refers to the knowledge graph 1300, and discovers the node showing the character string 1901, as in FIGS. 14 to 17.

Then, the information processing device 100 provides the client device 201 with information on the abstract compound name corresponding to the inquiry character string 1901, based on the discovered node. Specifically, the information processing device 100 acquires the molecular formula and molecular weight of the compound, the function and use of the compound, etc. indicated by the node linked to the discovered node, generates a commentary 1902, and generates a client device. Display on 201.

As a result, the information processing apparatus 100 can make the service user able to refer to the information directly related to the abstract compound name corresponding to the inquiry character string. Therefore, the information processing apparatus 100 can effectively perform services such as information retrieval, information analysis, and reading comprehension support.

In the above description, the case where the information processing apparatus 100 extracts the candidate compound name from the corpus has been described, but the present invention is not limited to this. For example, the information processing apparatus 100 extracts the compound name registered in the dictionary table 500, identifies the candidate for the abstract compound name from the compound name, and then determines whether or not the candidate for the abstract compound name appears in the corpus. May be done.

(Generation processing procedure)
Next, an example of the generation processing procedure executed by the information processing apparatus 100 will be described with reference to FIG. The generation process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 20 is a flowchart showing an example of the generation processing procedure. In FIG. 20, the information processing apparatus 100 extracts a candidate compound name from the corpus (step S2001).

Next, the information processing apparatus 100 associates each candidate of the candidate that matches the compound name stored in the dictionary table 500 with the compound name that matches the candidate among the extracted candidates in the dictionary table 500. The stored URI is given to (step S2002). Then, the information processing apparatus 100 shifts to the process of step S2003.

In step S2003, the information processing apparatus 100 selects an unprocessed candidate from the candidate list including the extracted candidates (step S2003).

Next, the information processing apparatus 100 determines whether or not the selected candidate is a candidate to which a URI is given and includes a number (step S2004). Here, if the candidate is not given a URI or does not include a number (step S2004: No), the information processing apparatus 100 shifts to the process of step S2008. On the other hand, when the URI is given and the candidate includes a number (step S2004: Yes), the information processing apparatus 100 shifts to the process of step S2005.

In step S2005, the information processing apparatus 100 generates a character string obtained by removing the character string indicating the bonding position of the substituent, which is a combination of one or more numbers and a predetermined symbol, from the selected candidates, and adds the character string to the candidate list. (Step S2005). Then, the information processing apparatus 100 adds a new URI to the generated character string (step S2006).

Next, the information processing apparatus 100 links the URI assigned to the selected candidate and the new URI assigned to the generated character string by the relationship of "is-a" (step S2007). Then, the information processing apparatus 100 shifts to the process of step S2008.

In step S2008, the information processing apparatus 100 determines whether or not all the candidates in the candidate list have been processed (step S2008). Here, when there is an unprocessed candidate (step S2008: No), the information processing apparatus 100 returns to the process of step S2003. On the other hand, when all the candidates are processed (step S2008: Yes), the information processing apparatus 100 shifts to the process of step S2009.

In step S2009, the information processing apparatus 100 calculates the number of URIs linked by the relation of "is-a" for each URI (step S2009). Next, the information processing apparatus 100 deletes the URIs in which the number of linked URIs is less than the threshold value (step S2010).

Then, the information processing apparatus 100 ends the generation process. As a result, the information processing apparatus 100 can generate a knowledge graph including a node indicating an abstract compound name. In addition, the information processing device 100 can suppress an increase in the number of nodes included in the knowledge graph.

(Search processing procedure)
Next, an example of the search processing procedure executed by the information processing apparatus 100 will be described with reference to FIG. The search process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 21 is a flowchart showing an example of the search processing procedure. In FIG. 21, the information processing apparatus 100 receives a search query (step S2101). Next, the information processing apparatus 100 searches the knowledge graph for a node that directly indicates the compound name of the search query (step S2102).

Then, the information processing apparatus 100 determines whether or not a node directly indicating the compound name of the search query has been found (step S2103). Here, when the node is found (step S2103: Yes), the information processing apparatus 100 shifts to the process of step S2108. On the other hand, when the node is not found (step S2103: No), the information processing apparatus 100 shifts to the process of step S2104.

In step S2104, the information processing apparatus 100 removes a character string in which a number 1 or more indicating the bonding position of the substituent and a predetermined symbol are combined from the compound name of the search query to generate an abstract compound name (step S2104). S2104). Next, the information processing apparatus 100 searches the knowledge graph for a node indicating the abstract compound name (step S2105).

Then, the information processing apparatus 100 determines whether or not a node indicating the abstract compound name has been found (step S2106). Here, when the node is found (step S2106: Yes), the information processing apparatus 100 shifts to the process of step S2107. On the other hand, when the node is not found (step S2106: No), the information processing apparatus 100 shifts to the process of step S2109.

In step S2107, the information processing apparatus 100 traces from the discovered node in the direction of the node corresponding to the removed character string, and identifies the node corresponding to the compound name of the search query (step S2107). Then, the information processing apparatus 100 shifts to the process of step S2108.

In step S2108, the information processing apparatus 100 is linked to a node that directly indicates the compound name of the search query or a node that corresponds to the compound name of the search query, and the molecular formula or weight of the compound, or the function or use of the compound. Etc. are output (step S2108). Then, the information processing device 100 ends the search process.

In step S2109, the information processing apparatus 100 determines whether or not all the character strings in which a number 1 or more indicating the bonding position of the substituent and a predetermined symbol are combined are removed from the compound name of the search query (step). S2109). Here, if there is a character string that has not been removed (step S2109: No), the information processing apparatus 100 returns to the process of step S2104. On the other hand, when all the character strings are removed (step S2109: Yes), the information processing apparatus 100 ends the search process.

Here, the information processing apparatus 100 may omit the processing of some steps of FIGS. 20 and 21. For example, the processing of steps S2009 and S2010 can be omitted.

As described above, according to the information processing apparatus 100, it is possible to obtain a search query relating to the first compound name. According to the information processing apparatus 100, a character string indicating the binding position of the substituent contained in the first compound name can be specified based on the acquired search query. According to the information processing apparatus 100, it is possible to generate an abstract compound name obtained by removing the specified character string from the first compound name. According to the information processing apparatus 100, the node indicating the generated abstract compound name can be searched from the graph in which the nodes indicating the compound name are linked to each other. According to the information processing apparatus 100, when a node indicating an abstract compound name is found, a link to a node indicating the compound name corresponding to the specified character string is followed from the found node as a starting point in the graph. The node corresponding to the first compound name can be searched. As a result, the information processing apparatus 100 can find the node corresponding to the first compound name even if the node directly indicating the first compound name does not exist. Therefore, the information processing apparatus 100 can use the graph to enable information retrieval, information analysis, reading comprehension support, and the like.

According to the information processing apparatus 100, based on the acquired search query, it is possible to specify a character string in which a number 1 or more indicating the bonding position of the substituent included in the first compound name and a predetermined symbol are combined. it can. As a result, the information processing apparatus 100 can generate an abstract compound name by collectively removing a character string in which one or more numbers and a predetermined symbol are combined from the first compound name.

According to the information processing apparatus 100, when the node indicating the abstract compound name is not found, the character string indicating the bonding position of the substituent contained in the first compound name, which is different from the specified character string, is specified. Can be done. According to the information processing apparatus 100, it is possible to generate an abstract compound name obtained by removing all the specified character strings from the first compound name. According to the information processing apparatus 100, it is possible to search the graph for a node indicating the generated abstract compound name. As a result, the information processing apparatus 100 can recursively repeat the abstraction of the first compound name and make it possible to discover the node indicating the abstract compound name.

According to the information processing apparatus 100, a plurality of character strings satisfying the conditions as the compound name can be extracted from the sentence set. According to the information processing apparatus 100, it is possible to generate a graph including a node indicating a character string determined to be a compound name among a plurality of extracted character strings by referring to dictionary information for storing the compound name. .. According to the information processing apparatus 100, a new node indicating the abstract compound name is generated by removing the character string indicating the bonding position of the substituent from the compound name indicated by any node in the generated graph, and any node is generated. It can be added to the graph by linking to the top of. As a result, the information processing apparatus 100 can generate a knowledge graph.

According to the information processing apparatus 100, a new node indicating an abstract compound name obtained by removing a character string obtained by combining a number 1 or more indicating a bonding position of a substituent and a predetermined symbol from the compound name indicated by any node. Can be generated. As a result, the information processing apparatus 100 collectively removes a character string combining one or more numbers and a predetermined symbol from the compound name to generate an abstract compound name, so that the number of nodes indicating the abstract compound name is increased. Can be suppressed.

According to the information processing apparatus 100, when the generated graph has more than a predetermined number of nodes showing compound names that have the same abstract compound name when the character string indicating the bonding position of the substituent is removed, a new node is found. Nodes can be created. As a result, the information processing apparatus 100 can suppress the enormous number of nodes indicating the abstract compound name.

According to the information processing apparatus 100, a new node is generated when an abstract compound name obtained by removing a character string indicating a binding position of a substituent from a compound name indicated by any node appears in a sentence set in an amount equal to or greater than a threshold value. be able to. As a result, the information processing apparatus 100 can suppress the enormous number of nodes indicating the abstract compound name.

The search method described in the present embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. The search program described in this embodiment is recorded on a computer-readable recording medium such as a hard disk, flexible disk, CD-ROM, MO, or DVD, and is executed by being read from the recording medium by the computer. Further, the search program described in the present embodiment may be distributed via a network such as the Internet.

The following additional notes are further disclosed with respect to the above-described embodiment.

(Appendix 1) Obtain a search query for the first compound name and
Based on the acquired search query, a character string indicating the binding position of the substituent contained in the first compound name is specified.
An abstract compound name obtained by removing the specified character string from the first compound name is generated.
Search for the generated node showing the abstract compound name in the graph in which the nodes showing the compound name are linked.
When a node indicating the abstract compound name is found, the first node is traced from the found node to the node indicating the compound name corresponding to the specified character string in the graph. Search for the node corresponding to the compound name,
A search method characterized by the processing being performed by a computer.

(Appendix 2) The specified process is
Addendum 1 characterized in that, based on the acquired search query, a character string in which a number 1 or more indicating a binding position of a substituent contained in the first compound name and a predetermined symbol are combined is specified. The search method described in.

(Appendix 3) When the node indicating the abstract compound name is not found, a character string indicating the bonding position of the substituent contained in the first compound name, which is different from the specified character string, is specified.
An abstract compound name obtained by removing all the specified character strings from the first compound name is generated.
Search for the node indicating the generated abstract compound name in the graph.
The search method according to Appendix 1 or 2, wherein the processing is executed by the computer.

(Appendix 4) Extract multiple character strings that satisfy the conditions as compound names from the sentence set.
With reference to the dictionary information for storing the compound name, a graph including a node indicating the character string determined to be the compound name is generated from the extracted plurality of character strings.
A new node showing the abstract compound name is generated by removing the character string indicating the binding position of the substituent from the compound name shown by any node in the generated graph, and linked to the upper part of the generated node. And add to the graph,
The computer executes the process
The process of searching for the node indicating the abstract compound name is
The search method according to any one of Supplementary note 1 to 3, wherein a node indicating the generated abstract compound name is searched from the generated graph.

(Appendix 5) The additional processing is
It is characterized in that a new node indicating an abstract compound name is generated by removing a character string in which a number 1 or more indicating a binding position of a substituent and a predetermined symbol are combined from the compound name indicated by any of the above nodes. The search method described in Appendix 4.

(Appendix 6) The additional processing is
When the character string indicating the bonding position of the substituent is removed from the generated graph, the new node is generated when there are a predetermined number or more of nodes indicating the compound name having the same abstract compound name. The search method according to Appendix 4 or 5, characterized in that.

(Appendix 7) The additional processing is
The new node is generated when an abstract compound name obtained by removing a character string indicating a binding position of a substituent from the compound name indicated by any of the nodes appears in a sentence set in an amount equal to or larger than a threshold value. The search method described in any one of Appendix 4 to 6.

(Appendix 8) Obtain a search query for the first compound name and
Based on the acquired search query, a character string indicating the binding position of the substituent contained in the first compound name is specified.
An abstract compound name obtained by removing the specified character string from the first compound name is generated.
From the graph in which the nodes showing the compound names are linked, the generated node showing the abstract compound name is searched for.
When a node indicating the abstract compound name is found, the first node is traced from the found node to the node indicating the compound name corresponding to the specified character string in the graph. Search for the node corresponding to the compound name,
A search program characterized by having a computer perform processing.

(Appendix 9) Obtain a search query for the first compound name and
Based on the acquired search query, a character string indicating the binding position of the substituent contained in the first compound name is specified.
An abstract compound name obtained by removing the specified character string from the first compound name is generated.
Search for the generated node showing the abstract compound name in the graph in which the nodes showing the compound name are linked.
When a node indicating the abstract compound name is found, the first node is traced from the found node to the node indicating the compound name corresponding to the specified character string in the graph. Search for the node corresponding to the compound name,
An information processing device characterized by having a control unit.

100 Information processing equipment 200 Service provision system 201 Client equipment 210 Network 300,600 Bus 301,601 CPU
302,602 Memory 303,603 Network I / F
304,604 Recording medium I / F
305,605 Recording medium 400 Graph information table 500 Dictionary table 606 Display 607 Input device 700 Storage unit 701 Acquisition unit 702 First generation unit 703 Second generation unit 704 First search unit 705 Second search unit 706 Output unit 801 Compound name judgment unit 802 Compound name abstraction unit 803 URI generation unit 804 Link generation unit 805 Link number totaling unit 806 Node confirmation unit 807 Pattern generation unit 808 Node search unit 809 Materialization unit 810 Information generation unit 820, 1000, 1010 List 830,1400 Search query 900,910,1301-1304,1610,1701,1702 Node 1100,1500,1710 Compound name 1101-1108,1501-1508,1901 String 1201-1203,1211,121,1600 Abstract compound name 1300 Knowledge Graph 1801,1900 Technical Document 1802,1902 Commentary

Claims (7)

Get a search query for the first compound name
Based on the acquired search query, a character string indicating the binding position of the substituent contained in the first compound name is specified.
An abstract compound name obtained by removing the specified character string from the first compound name is generated.
Search for the generated node showing the abstract compound name in the graph in which the nodes showing the compound name are linked.
When a node indicating the abstract compound name is found, the first node is traced from the found node to the node indicating the compound name corresponding to the specified character string in the graph. Search for the node corresponding to the compound name,
A search method characterized by the processing being performed by a computer. The specific process is
The claim is characterized in that, based on the acquired search query, a character string in which a number 1 or more indicating a bonding position of a substituent contained in the first compound name and a predetermined symbol are combined is specified. The search method described in 1. When the node indicating the abstract compound name is not found, a character string indicating the bonding position of the substituent contained in the first compound name, which is different from the identified character string, is specified.
An abstract compound name obtained by removing all the specified character strings from the first compound name is generated.
Search for the node indicating the generated abstract compound name in the graph.
The search method according to claim 1 or 2, wherein the processing is executed by the computer. Extract multiple character strings that satisfy the conditions as compound names from the sentence set,
With reference to the dictionary information for storing the compound name, a graph including a node indicating the character string determined to be the compound name is generated from the extracted plurality of character strings.
A new node showing the abstract compound name is generated by removing the character string indicating the binding position of the substituent from the compound name shown by any node in the generated graph, and linked to the upper part of the generated node. And add to the graph,
The computer executes the process
The process of searching for the node indicating the abstract compound name is
The search method according to any one of claims 1 to 3, wherein a node indicating the generated abstract compound name is searched from the generated graph. The process to be added is
It is characterized in that a new node indicating an abstract compound name is generated by removing a character string in which a number 1 or more indicating a bonding position of a substituent and a predetermined symbol are combined from the compound name indicated by any of the above nodes. The search method according to claim 4. Get a search query for the first compound name
Based on the acquired search query, a character string indicating the binding position of the substituent contained in the first compound name is specified.
An abstract compound name obtained by removing the specified character string from the first compound name is generated.
Search for the generated node showing the abstract compound name in the graph in which the nodes showing the compound name are linked.
When a node indicating the abstract compound name is found, the first node is traced from the found node to the node indicating the compound name corresponding to the specified character string in the graph. Search for the node corresponding to the compound name,
A search program characterized by having a computer perform processing. Get a search query for the first compound name
Based on the acquired search query, a character string indicating the binding position of the substituent contained in the first compound name is specified.
An abstract compound name obtained by removing the specified character string from the first compound name is generated.
Search for the generated node showing the abstract compound name in the graph in which the nodes showing the compound name are linked.
When a node indicating the abstract compound name is found, the first node is traced from the found node to the node indicating the compound name corresponding to the specified character string in the graph. Search for the node corresponding to the compound name,
An information processing device characterized by having a control unit.

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