Event-oriented dynamic knowledge graph construction method and device

A technology of knowledge graph and construction method, applied in semantic tool creation, unstructured text data retrieval, natural language data processing and other directions, can solve problems such as poor effect, achieve the effect of improving efficiency and effect, and expanding influence

Inactive Publication Date: 2020-05-12
中科大数据研究院
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Problems solved by technology

[0004] To sum up, the current research hotspots of knowledge graph construction are mainly focused on the construction of conventional knowledge graphs

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  • Event-oriented dynamic knowledge graph construction method and device
  • Event-oriented dynamic knowledge graph construction method and device
  • Event-oriented dynamic knowledge graph construction method and device

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[0072] The exemplary embodiments will be described in detail here, and the implementation manners described in the exemplary embodiments below do not represent all implementation manners consistent with the present invention. Rather, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0073] The terms used in the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0074] In order to solve at least one technical problem in the background art, the present invention provid...

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Abstract

The invention provides an event-oriented dynamic knowledge graph construction method. The event-oriented dynamic knowledge graph construction method comprises the following steps: data acquisition; event trigger word extraction, wherein trigger words in the first to-be-processed data are obtained through training of a first extraction model; event element identification: event elements in event sentences are acquired through a second extraction model, and the event sentences comprise trigger words; event relationship extraction: the event elements are processed through a third extraction modelto obtain event relationships among the event elements; the event ontology is constructed, the co-reference relationship in the event relationship is identified, the co-reference events are merged, and in addition, the invention further provides electronic equipment capable of realizing the method. According to the event-oriented dynamic knowledge graph construction method and device provided bythe invention, for event representation and processing, the entity knowledge base is used as a basis and a template, and the the event-oriented dynamic knowledge graph construction method and device have unique constituent elements and architecture and can be associated with the entity knowledge base, so that more accurate dynamic knowledge graph construction is realized.

Description

Technical field: [0001] The present invention relates to the field of semantic analysis of natural language processing, in particular to an event-oriented dynamic knowledge map construction method and device. Background technique: [0002] Most of the current knowledge graphs focus on static knowledge centered on entities, and lack the description and construction of dynamic knowledge centered on events. From the application point of view, due to the pure entity knowledge base, pure entity-relationship or entity-attribute-value type knowledge cannot meet the increasingly complex needs and application fields with higher and higher expectations for knowledge graphs, such as in the field of public opinion. The established entity knowledge base based on knowledge graph technology will cause some entity relationships or entity attributes to be distorted with the occurrence and evolution of events, which will indirectly affect the accuracy of the established entity knowledge base....

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Application Information

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IPC IPC(8): G06F16/36G06F16/35G06F40/295
CPCG06F16/35G06F16/367
Inventor 吴琼刘武雷王元卓周楠常诚
Owner 中科大数据研究院
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