CN110750651A - Knowledge graph construction method and generation device based on scientific and technological achievements - Google Patents

Knowledge graph construction method and generation device based on scientific and technological achievements Download PDF

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CN110750651A
CN110750651A CN201910982408.6A CN201910982408A CN110750651A CN 110750651 A CN110750651 A CN 110750651A CN 201910982408 A CN201910982408 A CN 201910982408A CN 110750651 A CN110750651 A CN 110750651A
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achievements
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韩文
刘畅
秦越
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Tongfang Knowledge Network Digital Publishing Technology Co ltd
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TONGFANG KNOWLEDGE NETWORK (BEIJING) TECHNOLOGY Co Ltd
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Abstract

The invention relates to the technical field of knowledge graph representation and reasoning, and discloses a knowledge graph construction method and a knowledge graph generation device based on scientific and technological achievements, wherein the knowledge graph construction method comprises the following steps: formulating a basic framework of a knowledge graph of scientific and technological achievements, wherein the basic framework comprises a first entity interval and a plurality of second entity intervals related to the first entity interval; acquiring metadata of the achievements based on the description information and the basic characteristics of the achievements, determining entity data and attributes of the entity data according to the metadata, and filling the entity data into a basic frame to form a achievements portrait based on scientific and technological achievements; extracting key words of the scientific and technological achievements according to the achievement portrait, correlating to obtain other scientific and technological achievements related to the scientific and technological achievements according to the key words, realizing knowledge correlation, filling the key words and the related scientific and technological achievements into a basic frame, and realizing the construction of a knowledge map. Through the steps, the related technical achievements are collected, technical analysis is carried out on the related achievements, and the technical value and the advancement of the achievements are revealed.

Description

Knowledge graph construction method and generation device based on scientific and technological achievements
Technical Field
The invention relates to the technical field of knowledge graph representation and reasoning, in particular to a knowledge graph construction method and a knowledge graph generation device based on scientific and technological achievements.
Background
With the rapid development of big data and artificial intelligence technology, a series of visualization methods are widely applied. Among them, the knowledge graph is one.
The knowledge graph is a knowledge system consisting of entities and entity relations, and a clear relation network is constructed by mapping different entities into different nodes and mapping entity relations into edges of the nodes. The method displays the complex knowledge field through data mining, information processing, knowledge measurement and graph drawing, reveals the dynamic development rule of the knowledge field, and provides a practical and valuable reference for subject research. In addition, the knowledge graph technology is a component of an artificial intelligence technology, and the powerful semantic processing and interconnection organization capability of the knowledge graph technology provides a foundation for intelligent information application. With the technical development and application of artificial intelligence, knowledge maps, which are one of the key technologies, have been widely used in intelligent search, intelligent question answering, personalized recommendation, content distribution, and some professional research fields.
However, in the process of transferring and transforming scientific and technological achievements, the problem of low transformation rate exists, and the key to the problem is that: two parties of result transformation have the problem of information asymmetry, scientific research colleges and universities serve as a result supplier, enterprises serve as a result demander, and a supply-demand relationship needs to be established between the two parties. The conventional achievement transformation platform is incomplete in description information of scientific and technological achievements, only contains basic brief introduction of achievements, lacks critical descriptions on technical level, stage, application prospect, innovation and the like of achievements, cannot attract attention of enterprises, and finally causes the problem that the enterprises in need cannot obtain valuable scientific and technological achievements, so that the scientific and technological achievements cannot be transformed smoothly.
In addition, the scientific and technological achievements on the existing transformation platform are too simple in introduction and description, and cannot comprehensively reflect the advancement of the achievements, so that keyword extraction and knowledge association are required to be carried out on the achievements, all related technical achievements including scientific and technological papers and patents at home and abroad are collected, technical analysis is carried out on the related achievements, and the technical value and the advancement of the achievements are disclosed.
Therefore, a knowledge graph construction method based on achievement transformation is needed, and a visualization method is used for analyzing achievement data and helping to improve the transformation rate of the achievement.
Disclosure of Invention
The invention aims to provide a knowledge graph construction method based on scientific and technological achievements, which can facilitate effective check of a user and improve the achievement conversion rate after achievement information is visualized in a knowledge graph mode.
Another object of the present invention is to provide a generation apparatus capable of obtaining a knowledge graph by using the above construction method.
In order to achieve the purpose, the invention adopts the following technical scheme:
a knowledge graph construction method based on scientific and technological achievements comprises the following steps:
formulating a basic framework of a knowledge graph of the scientific and technological achievement, wherein the basic framework comprises a first entity interval and a plurality of second entity intervals related to the first entity interval;
acquiring metadata of the scientific and technological achievements based on the description information and the basic characteristics of the scientific and technological achievements, and determining entity data and defining attributes of the entity data according to the metadata;
filling the entity data into the basic framework and forming a result portrait based on the scientific and technological result;
extracting keywords of the scientific and technological achievements according to the achievement portrait, and associating the keywords to obtain scientific and technological achievements related to the scientific and technological achievements so as to realize association of knowledge;
and filling the key words and the related scientific and technological achievements into the basic framework to realize the construction of the knowledge graph.
Further, the basic framework for establishing the knowledge graph of the scientific and technological achievement further comprises: determining an attribute relationship between the first entity interval and the second entity interval, and determining an attribute relationship between the two associated second entity intervals.
Further, the determining the attribute relationship between the first entity interval and the second entity interval comprises: and determining the attribute relationship between the entity data in the first entity interval and the second entity interval which are mutually associated according to the specified field.
Further, the entity data includes: technical field, technical method, technical problem, beneficial effect and application field of the achievement.
Further, the entity data is filled in the first entity interval or the second entity interval respectively.
Further, the defining the attribute of the entity data includes: and classifying the entity data according to the designated field, and filling the entity data into the first entity interval or the second entity interval.
Further, the achievement representation comprises: patents or treatises on achievements, research institutions, contact details, responsible persons, types of achievements, industry classifications, technical fields, technical methods, technical problems, beneficial effects, and application fields.
Further, the first physical interval is defined as a core interval, and the second physical interval is defined as an extension interval.
Further, the achievement is filled into the core interval, and the technical field, the technical method, the technical problem, the application field and the beneficial effect are respectively filled into the expansion interval;
and filling the attribute relation in a connecting line of the core interval and the expansion interval.
A generating device, comprising:
an acquisition unit that acquires metadata of the achievement according to the release information of the achievement;
the extraction unit picks up the metadata of the result to obtain entity data of the result;
an identification unit that identifies attribute information of the entity data and classifies the entity data;
and the storage unit is used for storing the constructed knowledge graph.
The invention has the beneficial effects that:
the invention provides a knowledge graph construction method and a knowledge graph generation device based on scientific and technological achievements, which comprise the following steps: firstly, a basic framework of a knowledge graph of scientific and technological achievements is formulated, wherein the basic framework comprises a first entity interval and a plurality of second entity intervals related to the first entity interval; secondly, acquiring metadata of the achievement based on the description information and the basic characteristics of the achievement, determining entity data and attributes of the entity data according to the metadata, and filling the entity data into a basic frame to form an achievement portrait based on scientific and technological achievement; and thirdly, extracting key words of the scientific and technological achievements according to the achievement portrait, and associating to obtain other scientific and technological achievements related to the scientific and technological achievements according to the key words, so that association of knowledge is realized, and the key words and the related scientific and technological achievements are filled into a basic frame to realize construction of a knowledge map. Through the steps, the method is helpful for gathering related technical achievements including scientific and technical papers and patents at home and abroad, and carrying out technical analysis on the related achievements to reveal the technical value and the advancement of the achievements.
Drawings
FIG. 1 is a flow diagram of a method of constructing a knowledge-graph provided by the present invention;
FIG. 2 is a pictorial diagram of an achievement portrait based on scientific and technological achievements;
FIG. 3 is a first basic framework diagram of a knowledge-graph based on scientific and technological achievements of the present invention;
FIG. 4 is a second basic framework diagram of the scientific and technological achievement-based knowledge graph of the present invention;
FIG. 5 is a third basic framework diagram of the scientific and technological achievement-based knowledge-graph of the present invention;
FIG. 6 is a diagram of the basic framework of the knowledge-graph based on scientific and technological achievements of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should be noted that the terms "first", "second", "third", and the like are used only for distinguishing the description, and are not intended to indicate or imply relative importance. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In current scientific and technological achievement transformation platform, when showing the basic information of scientific and technological achievement, the mode that presents generally is: the segmented space is listed, so that the reading or understanding of the user has certain problems, and besides, the description information of partial scientific and technological achievements has unclear problems. Therefore, in order to solve the above problems, the present invention provides a method for constructing a knowledge graph based on scientific and technological achievements, so as to reveal the advancement and value of the achievements and assist the scientific and technological achievements in performing effective transfer transformation.
As shown in FIG. 1, the invention provides a knowledge graph construction method based on scientific and technological achievements, which comprises the following steps:
s10: making a basic framework of a knowledge graph of scientific and technological achievements;
s20: acquiring metadata of the scientific and technological achievements based on the description information and the basic characteristics of the scientific and technological achievements, and determining entity data and attributes of the entity data according to the metadata;
s30: filling the entity data into a basic frame, and forming a result portrait based on scientific and technological achievements;
s40: extracting key words of scientific and technological achievements according to the achievement portrait, and correlating to obtain scientific and technological achievements related to the scientific and technological achievements according to the key words so as to realize knowledge correlation;
s50: and filling the key words and related scientific and technological achievements into the basic framework to realize the construction of the knowledge graph. Through the steps, the related entity data can be extracted according to the description information and the basic characteristics of the achievement, the drawn basic framework is filled, the attribute of the entity data and the relation between the related entity data are defined, the construction of a knowledge graph is realized, the related achievement of the achievement is associated through the key words, the association of knowledge is realized, the knowledge graph is further analyzed, the advancement and the implementability of the achievement are revealed, and the conversion rate of the technical achievement is finally improved.
Specifically, step S10 is to make a basic framework of the knowledge-graph, as shown in fig. 2-6, the basic framework including a first entity interval at the center and a plurality of second entity intervals associated with the first entity interval. The base framework also includes attribute definitions for the first entity interval and the second entity interval, and attribute relationships between the first entity interval and the second entity interval. As shown in fig. 2, the relationship between the scientific and technological achievements and the technical problem is "problem solved", and the "scientific and technological achievements" and the "technical problem" are defined by the attributes of the first entity interval and the second entity interval.
The attribute relationship between the first entity interval and the second entity interval, that is, the relationship between two entity intervals added with association on the connecting line of the basic framework, for example, the relationship between "scientific and technological achievement" and "technical method" may be defined as "including" or "existing"; the relationship between "technical method" and "technical problem" can be defined as "solving". Of course, the attribute relationship between the first entity interval and the second entity interval may be determined, and then the entity data may be filled into the basic frame.
By establishing attribute relation for the associated entity data, the association between the entity data and the convenience of indexing can be realized. Meanwhile, the attribute relation between the entity data is also beneficial to expanding the knowledge graph, and further can be related to other scientific and technological achievements.
Further, defining a relationship between two adjacent entity data includes: and determining the attribute relationship between two correlated entity data according to the specified field. That is, the connection line between the first entity interval and the second entity interval is filled with the attribute relationship, or the connection line between the two second entity intervals is filled with the attribute relationship.
The description information and the book-saving feature of the achievement in the step S20 include basic information, achievement level, market analysis, transaction information, and other information. Wherein the basic information includes: product name, introduction, study and release time, application field, key technology/technical index and product yield patent/thesis; the achievement levels include: the technical level (international and domestic leading position) of the achievement, innovation point, maturity/achievement stage and application condition; the market analysis comprises: practical objects, application prospects, economic value analysis, market risk analysis and construction and production conditions of the achievements; the transaction information includes: contact and transaction modes; other information includes: team, member introduction, affiliated project and winning information.
And acquiring the metadata of the achievement according to the description information of the achievement. The metadata of the achievement is the title of the scientific and technological achievement, and may also be a patent or a scientific and technological thesis, such as "abstract", "description", "beneficial effect" of the patent, or "name", "introduction", "experimental method", conclusion "of the thesis, and the like.
In step S20, the entity data of the scientific and technological achievement and the attribute of the defined entity data are extracted from the obtained metadata. Specifically, the entity data includes: the technical field, technical method, technical problems, beneficial effects and application fields of the achievement further comprise: technical points, the achievement patent, research institutions, responsible persons, industry classifications, achievement types and the like. Defining the attribute of the entity data to be acquired, classifying the entity data, if the entity data of the scientific and technological achievements belong to a technical method, classifying the entity data into a group of technical methods; if the entity data belongs to the application domain, the entity data is classified into a group of the application domain. The method can be helpful for providing convenience for capturing entity data when the map is constructed.
As shown in fig. 2, the position of the "scientific and technological achievement" is filled in is the first entity interval, the plurality of the areas connected with the first entity interval by the connecting line is the second entity interval, and both the first entity interval and the second entity interval can be used for filling in entity data.
In addition, in this embodiment, the first physical interval may be defined as a core interval, and the second physical interval may be defined as an extension interval. As the name implies, the expanded interval is expanded based on the core interval, that is, the entity data filled in the expanded interval is all related and expanded based on the entity data filled in the core interval, it can be understood that the entity data filled in the core interval is a larger set, and the entity data filled in the expanded interval is an element in the larger set. According to the idea, the knowledge graph can be understood to be expanded according to a total-score method so as to realize the expansion of the entity data and the association with other entity data.
Specifically, in the present embodiment, the results are filled in the core interval; the technical field, the technical method, the technical problem, the application field and the technical point are respectively filled in the expansion interval.
Further, defining attributes of the entity data includes: and classifying the entity data according to the specified field, and filling the entity data into the first entity interval or the second entity interval. Specifically, the "designated domain" herein may classify the entity data according to the technical domain to which the achievement belongs, such as machinery, medical health, electronic communication, and the like, so as to facilitate subsequent filling into the basic framework.
Step S30, filling the entity data into the basic frame, and forming a result portrait based on scientific and technological achievements, as shown in fig. 2, the result portrait includes: patents or treatises on achievements, research institutions, contact details, responsible persons, types of achievements, industry classifications, technical fields, technical methods, technical problems, beneficial effects, and application fields. The achievement portrait can be understood as that the classification and the summarization of the achievement description information can visually show the basic characteristics of the achievement and is helpful for the understanding and the analysis of technical personnel.
Specifically, when the image is generated, the entity data may be filled in the first entity area or the second entity area, respectively. With continued reference to FIG. 2, the "scientific results" are filled into the first entity space according to the above-mentioned "larger set", and correspondingly, other "elements" developed according to the scientific results are filled into the second entity spaces.
Step S40 is to extract the key word of the technical angle of the scientific and technological achievement according to the achievement portrait, and then associate the key word to obtain the related scientific and technological achievement, thereby implementing the association of knowledge. Specifically, as shown in fig. 3, the keywords are extracted from the "technical points" of the "technical achievement", and a search formula is formed by the keywords, so as to search the related/affiliated technical field of the technical achievement, the technical problem in the related/affiliated technical field and the technical point for solving the technical problem, and further associate the related technical achievement, thereby implementing association of knowledge.
Step S50 is to fill the above keywords, entity data and related scientific and technological achievements into the basic framework to implement the construction and expansion of the knowledge graph. Through the synergistic effect among the steps, the detailed analysis of scientific and technological achievement information and the analysis of the advancement of the scientific and technological achievement and the correlation of knowledge are realized.
The construction of the knowledge graph based on the conversion of scientific and technological achievements is explained with reference to fig. 4-6:
the knowledge graph construction method based on scientific and technological achievement conversion comprises two routes: technical lines and application lines. Wherein, the technical line is developed by the technical method, the technical points and the solved technical problems; the application line is expanded by the application angle of the application field.
Fig. 4 shows a technical line with scientific and technological achievements, technical fields, technical methods, technical points, and technical problems as a basic framework, specifically: the scientific and technological achievement comprises/includes a technical method, the technical method comprises/includes a technical point, the technical point solves the technical problem, and the technical field solves the technical problem. The specific attribute relationship between the entity data exists on the connecting line between the adjacent entity data.
The knowledge graph shown in fig. 5 is located in the core region, and the "technical field" is consistent with the "technical field" shown in fig. 2, and both represent the technical fields to which the scientific and technological achievements belong. Fig. 4 mainly shows a knowledge graph developed by taking "technical field" as a core, wherein "technical field" and "related technical field" in the technical field are included, it should be noted that the technical field to which scientific and technological achievements belong may belong to a branch field, and therefore, the field to which the scientific and technological achievements belong and the related field need to be developed and analyzed. Of course, an attribute relationship is established between the technical problem existing in the "technical field" and the technical point of solving the technical problem. And shows the scientific and technological achievements related to the technical field and the application fields of the technical field.
The above development is based on the technical field, and is helpful for associating the related achievements of the scientific and technological achievements and solving the technical problems and the like, so as to expand the coverage of the knowledge map and more comprehensively show all the information of the scientific and technological achievements to be converted.
Fig. 6 shows a knowledge graph developed by using a "technical point" as a core, including the technical field, scientific and technological achievements and technical methods associated with the technical point. The technical points shown in the figure are all pointed objects, so that the technical points can be used as a core interval for expansion so as to be associated with other entity data.
In this embodiment, for the arrow direction shown in the figure, it represents that the attribute relationship is pointed to the pointed end by the originating end of the arrow, that is, the entity data of the originating end has the entity data of the pointed end "solved" or "contained".
Furthermore, the technical fields, application fields, technical methods, technical points, technical problems, intended effects, and the like mentioned herein are all considered to be broadly construed as the following:
the technical field is as follows: namely, scientific and technological achievements are based on the angle of technology, technology positioning is accurately found, and classification is carried out.
The application field is as follows: the application scenes of the scientific and technological achievements are classified from the viewpoint of achievement application.
The technical method comprises the following steps: a plurality of technical features are connected through corresponding relations to form a complete technical means.
The technical points are as follows: the other technical characteristic is the most central invention point related to the technical method.
The technical problem is as follows: namely, the problem to be solved by the corresponding technical method is the technical problem.
Has the advantages that: namely, the effect achieved by solving the technical problem in terms of coping with the technical problem.
Outcome type: i.e. to define which type of outcome belongs, such as drug, material, device, etc.
The invention also provides a device for generating the knowledge graph based on the scientific and technological achievements, which comprises the following components:
an acquisition unit that acquires metadata of the achievement according to the release information of the achievement. The metadata of the scientific and technological achievements are obtained through modes of webpage capture, voice content extraction, video resource subtitle capture or third-party server acquisition and the like.
And the extraction unit picks up the metadata of the result to obtain entity data of the result. On the basis of the acquired metadata, lexical, grammatical and/or semantic of the metadata are analyzed, and entity data and attribute relations among the entity data are captured and obtained.
And the identification unit is used for identifying the attribute information of the entity data and classifying the entity data.
And the storage unit is used for storing the constructed knowledge graph. The constructed knowledge graph can be stored by adopting a relational database, a Hash table mode or an index mode and the like.
Through the knowledge graph construction method and the knowledge graph generation device, the knowledge graph can be effectively combined with the scientific and technological achievement transformation, the information of the scientific and technological achievement is completely displayed in a knowledge graph mode, the related technical field, the technical method and the solved technical problem are comprehensively displayed, the expansion of the scientific and technological achievement transformation process is facilitated, and the transformation of the scientific and technological achievement is promoted.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.

Claims (10)

1. A knowledge graph construction method based on scientific and technological achievements is characterized by comprising the following steps:
formulating a basic framework of a knowledge graph of the scientific and technological achievement, wherein the basic framework comprises a first entity interval and a plurality of second entity intervals related to the first entity interval;
acquiring metadata of the scientific and technological achievements based on the description information and the basic characteristics of the scientific and technological achievements, and determining entity data and defining attributes of the entity data according to the metadata;
filling the entity data into the basic framework and forming a result portrait based on the scientific and technological result;
extracting keywords of the scientific and technological achievements according to the achievement portrait, and associating the keywords to obtain scientific and technological achievements related to the scientific and technological achievements so as to realize association of knowledge;
and filling the key words and the related scientific and technological achievements into the basic framework to realize the construction of the knowledge graph.
2. The method of claim 1, wherein the creating a basic framework of the knowledge graph of scientific and technological achievements further comprises: determining an attribute relationship between the first entity interval and the second entity interval, and determining an attribute relationship between the two associated second entity intervals.
3. The scientific and technological achievement based knowledge graph building method according to claim 2, wherein the determining of the attribute relationship between the first entity interval and the second entity interval comprises: and determining the attribute relationship between the entity data in the first entity interval and the second entity interval which are mutually associated according to the specified field.
4. The scientific and technological achievement based knowledge graph building method according to claim 2, wherein the entity data comprises: technical field, technical method, technical problem, beneficial effect and application field of the achievement.
5. A scientific and technological achievement based knowledge graph building method according to claim 1, wherein the entity data are filled in the first entity interval or the second entity interval respectively.
6. The scientific and technological achievement based knowledge graph building method according to claim 1, wherein the defining attributes of the entity data comprises: and classifying the entity data according to the designated field, and filling the entity data into the first entity interval or the second entity interval.
7. The scientific and technological achievement based knowledge graph building method according to claim 1, wherein the achievement representation comprises: patents or treatises on achievements, research institutions, contact details, responsible persons, types of achievements, industry classifications, technical fields, technical methods, technical problems, beneficial effects, and application fields.
8. The method of claim 4, wherein the first entity interval is defined as a core interval, and the second entity interval is defined as an expansion interval.
9. The method for building a knowledge graph based on scientific and technological achievements according to claim 8, wherein the achievements are filled in the core interval, and the technical field, the technical method, the technical problem, the application field and the beneficial effect are respectively filled in the expansion interval;
and filling the attribute relation in a connecting line of the core interval and the expansion interval.
10. A generation apparatus, comprising:
an acquisition unit that acquires metadata of the achievement according to the release information of the achievement;
the extraction unit picks up the metadata of the result to obtain entity data of the result;
an identification unit that identifies attribute information of the entity data and classifies the entity data;
and the storage unit is used for storing the constructed knowledge graph.
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