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
CN111159427AActive Publication Date: 2020-05-15HARBIN INST OF TECH

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
HARBIN INST OF TECH
Publication Date
2020-05-15

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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.
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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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