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Knowledge graph semantic mapping method and system

A knowledge map and semantic mapping technology, applied in the field of natural language processing knowledge map semantic analysis, can solve problems such as difficulty in ensuring the accuracy of the final mapping, achieve the effect of eliminating ambiguity and interference, improving matching efficiency, and improving accuracy

Pending Publication Date: 2020-11-10
上海数策软件股份有限公司
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AI Technical Summary

Problems solved by technology

The ambiguity and error correction of the mapping relationship between the results of syntactic analysis and the knowledge map are not considered, and it will be difficult to guarantee the accuracy of the final mapping in the actual application system

Method used

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  • Knowledge graph semantic mapping method and system
  • Knowledge graph semantic mapping method and system
  • Knowledge graph semantic mapping method and system

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Embodiment Construction

[0086] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0087] A method for constructing a semantic mapping of a knowledge graph according to the present invention is characterized in that it includes:

[0088] Training set management step: manage the text training set and test set, and iterate the Boolean model;

[0089] Text analysis step: perform word segmentation processing on the input text, and convert the text into a combination with a syntactic structure;

[0090] Boolean logic expression step: calculate the mapping between the text and the knowledg...

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Abstract

The invention provides a knowledge graph semantic mapping construction method and system, and the method comprises a training set management step: managing a text training set and a test set, and iterating a Boolean model; a text analysis step: performing word segmentation processing on the input text, and converting the text into a combination with a syntactic structure; and a Boolean logic expression step: calculating the mapping between the text and the knowledge graph entity relationship according to the obtained converted combination with the syntactic structure. More syntactic structuresand matching relations related to text semantics are obtained through Boolean logic based on syntactic structure analysis, and the Boolean logic constructed through the relations can describe matching and modifying structures between words more accurately; therefore, the matching relationship between the words of the syntactic structure can be intervened transparently and manually.

Description

technical field [0001] The present invention relates to the field of semantic analysis of natural language processing knowledge graphs, in particular to a method and system for constructing semantic mapping of knowledge graphs. In particular, it involves a method of constructing semantic mapping of knowledge graphs based on syntactic analysis and inverted index. Background technique [0002] With the continuous development of text analysis technology and natural language processing technology, there is an increasing need for reasoning engines based on knowledge graphs to help with semantic-related processing. However, the construction of knowledge graphs and the mapping of entities usually have a very high threshold. Entering the application field requires more processing, such as the need to deal with more ambiguity resolution problems, and the need to solve statistical algorithms to implement model training and training documents. It requires more resources for manual lab...

Claims

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Application Information

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IPC IPC(8): G06F40/211G06F40/284G06F40/295G06F40/30
CPCG06F40/211G06F40/284G06F40/295G06F40/30Y02P90/30
Inventor 杜津吴楠陈如杰周育樑徐真张椿琳
Owner 上海数策软件股份有限公司
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