CN112163100A - Knowledge graph expansion method and system for star database in wiki data - Google Patents
Knowledge graph expansion method and system for star database in wiki data Download PDFInfo
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- CN112163100A CN112163100A CN202011099358.6A CN202011099358A CN112163100A CN 112163100 A CN112163100 A CN 112163100A CN 202011099358 A CN202011099358 A CN 202011099358A CN 112163100 A CN112163100 A CN 112163100A
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Abstract
The invention relates to a knowledge graph expanding method and a knowledge graph expanding system of a star database in wiki data, wherein the method comprises the steps of importing basic information of a target star, wherein the basic information comprises a name and a personal introduction; capturing head portrait information of a target star according to the name and the personal brief introduction, determining face characteristic information corresponding to the head portrait information through a face recognition technology, screening movie works corresponding to the target star, and intercepting a star flash of the target star according to the face characteristic information; crawling a relationship network star database to obtain personal characteristic information and a figure relationship chain of a target star; the personal characteristic information, the character relation chain and the star screenshots are stored in the knowledge graph of the star database to realize the expansion of the knowledge graph, so that the accuracy of the data is ensured, and the efficiency of data expansion editing operation is improved.
Description
Technical Field
The invention belongs to the technical field of knowledge graph expansion, and particularly relates to a knowledge graph expansion method and system for a star database in wiki data.
Background
A knowledge graph is a relational network obtained by connecting all different kinds of information together, and provides the ability to analyze problems from a relational perspective. At the present stage, the knowledge graph structure of the star wiki knowledge base is expanded by adopting a method of manual editing and manual operation adjustment, and the correction and expansion of the knowledge context are carried out through the self wiki management correlation system software.
However, with the rapid appearance of incremental information, the efficiency and accuracy of manual editing operation cannot meet the use requirements.
Disclosure of Invention
In order to at least solve the problems in the prior art, the invention provides a knowledge graph expansion method and a knowledge graph expansion system for a star database in wiki data, so that the knowledge graph is automatically expanded, and the efficiency of editing operation is improved.
The technical scheme provided by the invention is as follows:
on one hand, the knowledge graph expanding method of the star database in the wiki data comprises the following steps:
importing basic information of a target star, wherein the basic information comprises a name and a personal profile;
capturing head portrait information of the target star according to the name and the personal profile, and determining face feature information corresponding to the head portrait information through a face recognition technology;
screening the film and television works corresponding to the target star, and intercepting the star screenshots of the target star according to the face feature information;
crawling a relationship network star database to obtain personal characteristic information and a figure relationship chain of the target star;
and storing the personal characteristic information, the character relation chain and the star screenshots into a knowledge graph of a star base so as to realize the expansion of the knowledge graph.
Optionally, the method for expanding the knowledge graph of the star database in the wiki data further includes:
generating a work album of the movie and television works and the star photos according to a time axis sequence;
fusing the album of the works with the personal characteristic information and the character relation chain to generate hot topics of the works;
and storing the hot topics of the works to the knowledge graph of the star database.
Optionally, the personal characteristic information includes height, weight, age, blood type, native place, and colleges and universities;
the people relation chain comprises a relative relation and a working relation.
Optionally, the screening the movie and television works corresponding to the target star includes:
screening the film and television works corresponding to the target star according to the names, wherein the film and television works comprise a main performance work, a matchmaking work and a director work;
correspondingly, intercepting the star screenshots of the target star according to the face feature information, and the method comprises the following steps:
and intercepting the star screenshots of the target star according to the sequence of the main performance, the director performance and the matchmaking.
Optionally, the storing the starry shots in the knowledge graph of the starry library includes:
identifying the scoring heat value of the film and television works corresponding to the stars;
and storing the star screenshots in the film and television works to a knowledge graph of a star library according to the scoring heat value.
In another aspect, a system for knowledge-graph augmentation of a star corpus in wiki data comprises:
the import module is used for importing basic information of the target star, wherein the basic information comprises a name and a personal profile;
the determining module is used for capturing the head portrait information of the target star according to the name and the personal profile and determining the face characteristic information corresponding to the head portrait information through a face recognition technology;
the intercepting module is used for screening the film and television works corresponding to the target star and intercepting the star screenshots of the target star according to the face feature information;
the acquisition module is used for crawling a relationship network star database and acquiring the personal characteristic information and the figure relationship chain of the target star;
and the expansion module is used for storing the personal characteristic information, the character relation chain and the star screenshots into the knowledge graph of the star database so as to realize the expansion of the knowledge graph.
Optionally, the system for expanding a knowledge graph of a star base in the wiki data further includes:
generating a work album of the movie and television works and the star photos according to a time axis sequence;
fusing the album of the works with the personal characteristic information and the character relation chain to generate hot topics of the works;
and storing the hot topics of the works to the knowledge graph of the star database.
Optionally, the personal characteristic information includes height, weight, age, blood type, native place, and colleges and universities;
the people relation chain comprises a relative relation and a working relation.
Optionally, the intercepting module is specifically configured to:
screening the film and television works corresponding to the target star according to the names, wherein the film and television works comprise a main performance work, a matchmaking work and a director work;
and intercepting the star screenshots of the target star according to the sequence of the main performance, the director performance and the matchmaking.
Optionally, the expansion module is specifically configured to:
identifying the scoring heat value of the film and television works corresponding to the stars;
and storing the star screenshots in the film and television works to a knowledge graph of a star library according to the scoring heat value.
The invention has the beneficial effects that:
the invention provides a knowledge graph expansion method and a knowledge graph expansion system of a star database in wiki data, wherein the method is characterized in that basic information of a target star is imported, and the basic information comprises a name and a personal introduction; capturing head portrait information of a target star according to the name and the personal profile, and determining face characteristic information corresponding to the head portrait information through a face recognition technology; screening the film and television works corresponding to the target star, and intercepting the star screenshots of the target star according to the face characteristic information; crawling a relationship network star database to obtain personal characteristic information and a figure relationship chain of a target star; the method comprises the steps of storing personal characteristic information, a character relation chain and a star screenplay into a knowledge graph of a star base to expand the knowledge graph, acquiring the personal characteristic information and the character relation chain corresponding to the star in a data crawling mode, automatically completing the acquisition without manual editing, effectively ensuring the accuracy and improving the efficiency of editing operation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for augmenting a knowledge graph of a star repository in wiki data according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a knowledge-graph augmentation system for an ephemeris library in wiki data according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
FIG. 1 is a flowchart of a method for expanding a knowledge graph of an ephemeris library in wiki data according to an embodiment of the present invention.
As shown in fig. 1, the method for expanding a knowledge graph of an star database in wiki data of this embodiment includes the following steps:
and S11, importing basic information of the target star, wherein the basic information comprises a name and a personal profile.
Specifically, the name includes a Chinese name, an English name, an alias, etc., and the personal profile refers to past history of the user, that is, content that can be easily obtained on the network. The introduction method may be direct online introduction or other introduction methods.
And S12, capturing the head portrait information of the target star according to the name and the personal profile, and determining the face feature information corresponding to the head portrait information through a face recognition technology.
In order to improve the self popularity, the stars have the corresponding photo information, and the corresponding star photos can be directly inquired by identifying the names. Then the head portrait information of the star can be captured through an image recognition technology, then the face feature information corresponding to the head portrait information is determined directly through a face recognition technology and then is matched and stored, the purpose is to correspond the face feature information with the name information, and the related content of the head portrait information is conveniently and directly added to the corresponding name through a video clip or a photo, so that the star can be better ensured to be distinguished and the like.
S13, screening the film and television works corresponding to the target star, and intercepting the star screenshots of the target star according to the face feature information.
The movie works that target star corresponds are screened through the name, and movie works include prime effect works, match works and director works, correspond, according to human face characteristic information intercepting the star drama of target star includes: and intercepting the star screenshots of the target star according to the sequence of the main performance, the director performance and the matchmaking. The method has the advantages that the relevance between the film and television works and a target actor is shown, the higher the relevance is, the more preferential display is, the higher the relevance is, the star screenshots are generated preferentially, the exposure of the target star can be automatically increased according to the obvious screenshots of the face information, and the curiosity and the sensibility of other people to the target star can be increased directly through the display of the star screenshots. Of course, the method of obtaining the star scenario may include other methods, for example, the method of obtaining the star scenario by confirming the identity of the target star through the voiceprint in the recognition line.
And S14, crawling the relationship network star library to acquire the personal characteristic information and the character relationship chain of the target star.
The personal characteristic information of the target star can be acquired through different channels in a data crawling mode, the personal characteristic information comprises height, weight, age, blood type, native place, graduation colleges and the like, and the star character relation chain comprises a relationship, a working relationship and the like, so that the corresponding star can be known more comprehensively by using the star as an original point in a surrounding database.
After the star photos are automatically obtained, album of film and television works and star photos can be generated according to the time axis sequence; the method has the advantages that the work album, the personal characteristic information and the character relation chain are fused to generate the work hot topic, and the knowledge graph of the work hot topic is stored in the star database, so that the graph is expanded, the time axis of a star can be shown to other people, and historical data, works and the like of the star can be better known.
And S15, storing the personal characteristic information, the character relation chain and the star screenshots into the knowledge graph of the star base to realize the expansion of the knowledge graph.
The knowledge graph that directly stores the corresponding personal characteristic information, the character relation chain and the star screenshots to the star database can be selected. The scoring heat value of the film and television works corresponding to the star can be identified, and the star drama in the film and television works is stored in the knowledge graph of the star library according to the scoring heat value, so that when people search the star, the film and television works, the drama and the like with the highest scoring can be directly displayed after names are input, the exposure of the star can be increased, and the improvement of the good feeling of people to the star is facilitated.
The invention can provide automatic services of automatic training and automatic expansion of the knowledge graph of the star dimension data for content operators such as radio and television, new media, telecom operators and the like, can replace manual editing through automatic crawling, calibration, expansion and training of the system, ensures the timeliness and the accuracy of the knowledge graph, and simultaneously improves the working efficiency and the supportable capability of the knowledge graph.
According to the knowledge graph expansion method of the star database in the wiki data, basic information of a target star is imported, and the basic information comprises a name and a personal profile; capturing head portrait information of a target star according to the name and the personal profile, and determining face characteristic information corresponding to the head portrait information through a face recognition technology; screening the film and television works corresponding to the target star, and intercepting the star screenshots of the target star according to the face characteristic information; crawling a relationship network star database to obtain personal characteristic information and a figure relationship chain of a target star; the method comprises the steps of storing personal characteristic information, a character relation chain and a star screenplay into a knowledge graph of a star base to expand the knowledge graph, acquiring the personal characteristic information and the character relation chain corresponding to the star in a data crawling mode, automatically completing the acquisition without manual editing, effectively ensuring the accuracy and improving the efficiency of editing operation.
Based on the same general inventive concept, the application also protects a knowledge graph expansion system of the star database in the wiki data.
FIG. 2 is a schematic structural diagram of a knowledge-graph augmentation system for an ephemeris library in wiki data according to an embodiment of the present invention.
As shown in fig. 2, the system for expanding a knowledge graph of an asterisk library in wiki data of this embodiment includes:
the import module 10 is used for importing basic information of the target star, wherein the basic information comprises a name and a personal profile;
the determining module 20 is used for capturing the head portrait information of the target star according to the name and the personal profile, and determining the face characteristic information corresponding to the head portrait information through a face recognition technology;
the intercepting module 30 is used for screening the film and television works corresponding to the target star and intercepting the star screenshots of the target star according to the face feature information;
the acquiring module 40 is used for crawling the relationship network star database and acquiring the personal characteristic information and the character relationship chain of the target star;
and the expansion module 50 is used for storing the personal characteristic information, the character relation chain and the star screenshots into the knowledge graph of the star database so as to realize the expansion of the knowledge graph.
The invention provides a knowledge graph expansion system of a star database in wiki data, which is characterized in that basic information of a target star is imported, wherein the basic information comprises names and personal profiles; capturing head portrait information of a target star according to the name and the personal profile, and determining face characteristic information corresponding to the head portrait information through a face recognition technology; screening the film and television works corresponding to the target star, and intercepting the star screenshots of the target star according to the face characteristic information; crawling a relationship network star database to obtain personal characteristic information and a figure relationship chain of a target star; the method comprises the steps of storing personal characteristic information, a character relation chain and a star screenplay into a knowledge graph of a star base to expand the knowledge graph, acquiring the personal characteristic information and the character relation chain corresponding to the star in a data crawling mode, automatically completing the acquisition without manual editing, effectively ensuring the accuracy and improving the efficiency of editing operation.
Further, the knowledge-graph expansion system of the star database in the wiki data of the embodiment further includes a hot spot module, configured to:
generating film and television works and works albums of starlight photos according to a time shaft sequence;
integrating the album of the works with the personal characteristic information and the character relation chain to generate hot topics of the works;
and storing the hot topics of the works to the knowledge graph of the star database.
Further, the personal characteristic information of the embodiment includes height, weight, age, blood type, native place, and colleges and universities;
the person relationship chain includes a relationship of relatives and a relationship of jobs.
Further, the intercept module 30 of the present embodiment is specifically configured to:
screening the film and television works corresponding to the target star according to the names, wherein the film and television works comprise a main performance work, a matchmaking work and a director work;
and intercepting the star screenshots of the target star according to the sequence of the main performance works, the director works and the matchmaking works.
Further, the expansion module 50 of the present embodiment is specifically configured to:
identifying the scoring heat value of the film and television works corresponding to the stars;
and storing the star screenshots in the film and television works to a knowledge map of a star library according to the scoring heat value.
Embodiments of the system part have been described in detail in relation to corresponding method embodiments, and therefore will not be described in detail in relation to corresponding system parts, which can be understood by cross-reference.
Based on a general inventive concept, the embodiment of the invention also provides a knowledge graph expanding device for the star database in the wiki data.
A knowledge-graph augmenting apparatus for a constellation library in wiki data, comprising: a processor, and a memory coupled to the processor;
the memory is used for storing a computer program, and the computer program is at least used for executing the knowledge graph expansion method of the star database in the wiki data in any embodiment;
the processor is used for calling and executing the computer program in the memory.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A knowledge graph expansion method of a star database in wiki data is characterized by comprising the following steps:
importing basic information of a target star, wherein the basic information comprises a name and a personal profile;
capturing head portrait information of the target star according to the name and the personal profile, and determining face feature information corresponding to the head portrait information through a face recognition technology;
screening the film and television works corresponding to the target star, and intercepting the star screenshots of the target star according to the face feature information;
crawling a relationship network star database to obtain personal characteristic information and a figure relationship chain of the target star;
and storing the personal characteristic information, the character relation chain and the star screenshots into a knowledge graph of a star base so as to realize the expansion of the knowledge graph.
2. The method of claim 1, further comprising:
generating a work album of the movie and television works and the star photos according to a time axis sequence;
fusing the album of the works with the personal characteristic information and the character relation chain to generate hot topics of the works;
and storing the hot topics of the works to the knowledge graph of the star database.
3. The method for expanding the knowledge graph of the star database in the wiki data as claimed in claim 1, wherein the personal characteristic information comprises height, weight, age, blood type, native place, and graduation institution;
the people relation chain comprises a relative relation and a working relation.
4. The method for expanding the knowledge graph of the star database in the wiki data according to claim 1, wherein the screening of the movie and television works corresponding to the target star comprises:
screening the film and television works corresponding to the target star according to the names, wherein the film and television works comprise a main performance work, a matchmaking work and a director work;
correspondingly, intercepting the star screenshots of the target star according to the face feature information, and the method comprises the following steps:
and intercepting the star screenshots of the target star according to the sequence of the main performance, the director performance and the matchmaking.
5. The method for expanding the knowledge-graph of the star database in the wiki data according to claim 4, wherein the storing the star highlights to the knowledge-graph of the star database comprises:
identifying the scoring heat value of the film and television works corresponding to the stars;
and storing the star screenshots in the film and television works to a knowledge graph of a star library according to the scoring heat value.
6. A knowledge graph augmentation system for a star library in wiki data, comprising:
the import module is used for importing basic information of the target star, wherein the basic information comprises a name and a personal profile;
the determining module is used for capturing the head portrait information of the target star according to the name and the personal profile and determining the face characteristic information corresponding to the head portrait information through a face recognition technology;
the intercepting module is used for screening the film and television works corresponding to the target star and intercepting the star screenshots of the target star according to the face feature information;
the acquisition module is used for crawling a relationship network star database and acquiring the personal characteristic information and the figure relationship chain of the target star;
and the expansion module is used for storing the personal characteristic information, the character relation chain and the star screenshots into the knowledge graph of the star database so as to realize the expansion of the knowledge graph.
7. The system of claim 6, further comprising:
generating a work album of the movie and television works and the star photos according to a time axis sequence;
fusing the album of the works with the personal characteristic information and the character relation chain to generate hot topics of the works;
and storing the hot topics of the works to the knowledge graph of the star database.
8. The system of claim 6, wherein the personal characteristic information comprises height, weight, age, blood type, native place, and graduation institution;
the people relation chain comprises a relative relation and a working relation.
9. The method for expanding a knowledge graph of a corpus of stars in wiki data according to claim 6, wherein said intercepting module is specifically configured to:
screening the film and television works corresponding to the target star according to the names, wherein the film and television works comprise a main performance work, a matchmaking work and a director work;
and intercepting the star screenshots of the target star according to the sequence of the main performance, the director performance and the matchmaking.
10. The system of claim 9, wherein the augmentation module is specifically configured to:
identifying the scoring heat value of the film and television works corresponding to the stars;
and storing the star screenshots in the film and television works to a knowledge graph of a star library according to the scoring heat value.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115860152A (en) * | 2023-02-20 | 2023-03-28 | 南京星耀智能科技有限公司 | Cross-modal joint learning method oriented to character military knowledge discovery |
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