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Crowdsourcing-based knowledge graph construction method and system

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 problems such as unification and tedious data normalization, and achieve the effect of easy integration

Active Publication Date: 2020-05-15
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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  • Crowdsourcing-based knowledge graph construction method and system
  • Crowdsourcing-based knowledge graph construction method and system
  • Crowdsourcing-based knowledge graph construction method and system

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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 crowdsourcing-based knowledge graph construction method and system. The method comprises the following steps: S1, creating a graph space; S2, creating a user mode and carrying out mode matching and fusion; S3, uploading resources; S4, constructing a map. The system comprises a graph space module, a user mode module, a resource module, a graph construction module and a graph database container cluster management module. According to the knowledge acquisition method based on crowdsourcing, a user can provide resources according to own requirements and add the resourcesinto the knowledge graph, and the problem of resource acquisition of the knowledge graph is solved. According to the method, an OWL-based mode is provided for the description of heterogeneous resources, and the isomerism of the heterogeneous resources is controlled from a meta-model, so the knowledge graph constructed by the method can be fused more easily. The present invention implements an operating interface for knowledge applications that provides search and reasoning capabilities for knowledge graph.

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 Applications(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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