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A method and system for building a knowledge map based on crowdsourcing

A knowledge map and construction method technology, applied in the direction of semantic tool creation, unstructured text data retrieval, special data processing applications, etc., can solve the problems of cumbersome data normalization work, no unification, etc., to solve the problem of resource acquisition, easy to blend effects

Active Publication Date: 2021-10-01
HARBIN INST OF TECH
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the current field of knowledge graph construction, most research methods construct knowledge graphs by extracting the relationship between entities and entities, mainly including entity recognition methods, relationship extraction methods, entity disambiguation methods, and knowledge completion methods, which require a lot of manual work. Labeling data is a very cumbersome data normalization work, and there is no unified and standardized method to solve it at one time

Method used

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  • A method and system for building a knowledge map based on crowdsourcing
  • A method and system for building a knowledge map based on crowdsourcing
  • A method and system for building a knowledge map based on crowdsourcing

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specific Embodiment approach 1

[0032] Specific Embodiments 1. This embodiment provides a crowdsourcing-based knowledge map construction method, such as figure 1 As shown, the method includes the following steps:

[0033] Step S1, creating a graph space.

[0034] Users allocate graph database containers, RDF database storage space, and Trans model storage space from the graph database container cluster.

[0035] Graph space is a namespace for user applications, including a graph database container, an RDF database, and one or more Trans models; the patterns and resources to be described later are included in the graph space, and the patterns and patterns in different graph spaces Resources are not related to each other. figure 2 Shown is an example of performing the above steps three times to obtain three graph spaces.

[0036] Step S2, creating a user mode.

[0037] Create a user schema, describe entity classes, attributes and relationships, store the user schema in the RDF database corresponding to th...

specific Embodiment approach 2

[0054] Specific implementation mode 2. This implementation mode provides a knowledge map construction system based on crowdsourcing, such as Image 6 As shown, the system includes a graph space module, a pattern module, a resource module, a map building module, and a graph database container cluster management module, wherein:

[0055] The graph space module is used to create and manage graph spaces, isolate data from graphs of different users, and provide knowledge graph construction and application support for each user's application scenario.

[0056] The pattern module is used for creating, reviewing, matching, and merging patterns. The pattern provides descriptions of supporting attributes, relationships, and classes, controls the heterogeneity of graphs, and provides support for knowledge graph fusion.

[0057] The resource module is used for resource access control and unified description, and checks the correctness of the resource according to the pattern, and converts...

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Abstract

The invention discloses a method and system for constructing a knowledge graph based on crowdsourcing. The method includes the following steps: step S1, creating a graph space; step S2, creating user patterns and performing pattern matching and fusion; step S3, uploading resources; Step S4, map construction. The system includes a graph space module, a user mode module, a resource module, a map building module, and a graph database container cluster management module. The present invention adopts a crowdsourcing-based knowledge acquisition method, and users can provide resources according to their own needs and add them to the knowledge map to solve the resource acquisition problem of the knowledge map. The present invention proposes an OWL-based model to describe heterogeneous resources and control their heterogeneity from the meta-model, so that the knowledge graph constructed by this method can be more easily integrated. The invention realizes the operation interface of the knowledge application, and the operation interface provides the search ability and reasoning ability of the knowledge map.

Description

technical field [0001] The invention belongs to the field of computer technology, and relates to a method and a system for constructing a knowledge graph, in particular to a method and system for constructing a knowledge graph based on crowdsourcing. Background technique [0002] Knowledge graph is a knowledge system formed by structuring knowledge, which contains basic facts, general rules and other relevant information, and is often used in tasks such as knowledge extraction, storage and reasoning in the field of artificial intelligence. With the continuous development of intelligent technology, the knowledge graph, which is the backbone of artificial intelligence, has attracted extensive attention from academia and industry for its powerful knowledge representation and reasoning capabilities. In recent years, knowledge graphs have been widely used in semantic search, question answering, knowledge management and other fields. In order to improve the quality of information ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/36
CPCG06F16/367
Inventor 涂志莹刘星焜王忠杰徐晓飞
Owner HARBIN INST OF TECH
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