Automatic professional knowledge graph construction method

Abstract

The invention discloses an automatic professional knowledge graph construction method. The method comprises the following steps of obtaining a professional knowledge text; performing word segmentationon the professional knowledge text and removing stop words in the word segmentation text; converting each text into a plurality of word sets; obtaining a part-of-speech label through part-of-speech labeling, and obtaining a dependency label and a dependency tree through dependency analysis; performing noun phrase detection, verb phrase detection and candidate relationship detection based on the part-of-speech labels and the dependency labels; performing semantic annotation on words in the candidate relationship to obtain a candidate semantic relationship mode; clustering the obtained candidate semantic relationship modes to obtain a group of final semantic relationship modes; obtaining professional knowledge data by utilizing the semantic dictionary and the semantic relationship mode; andwriting the data into an owl file and importing the owl file into a protege. According to the method, optimization and expansion are carried out, the professional knowledge graph construction efficiency is high, the cost is low, time and labor are saved, and the constructed professional knowledge graph is high in accuracy.

Description

technical field [0001] The present invention relates to the technical field of knowledge map construction, in particular to an automatic professional knowledge map construction method. Background technique [0002] Knowledge service is a hot spot in the field of professional digital publishing recently. The country’s large amount of capital investment in this area has also accelerated the time for knowledge service to be implemented in publishing units. However, the knowledge service system currently built in China is generally still traditional literature. Level knowledge services, providing traditional full-text search methods, and resource association is only the connection between documents and references. In order to realize real knowledge retrieval, it becomes necessary to build various types of knowledge systems as the basis for knowledge retrieval. The key point is that some professional publishing houses that are leading in the construction of knowledge systems have...

AI Technical Summary

Problems solved by technology

[0003] However, for the field of professional knowledge, it is necessary for experts who are very familiar with the profession to manually build a knowledge map, which requires a lot of manpower and time. The efficiency of building a knowledge map is too low, the cost is too high, and the accuracy rate is not guaranteed.

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