Building method of knowledge map based on vertical field

Abstract

The invention provides a building method of a knowledge map based on a vertical field. The method comprises the following steps of (1) extracting the word realization of classes of an on-line encyclopedia and the hyponymy between classes; (2) merging the field knowledge information, defining the data attribute and the relationship attribute of the field, and further setting the statute on the definition domain and the value domain of the attributes; (3) studying an entity layer, i.e., extracting an entity and filling the attribute value of the entity; performing mass processing on structurized and semi-structurized data by D2R or data collecting tools; and for non-structurized text data, defining the classes and the attributes of the upper layer body and the relationship between the classes and the attributes, and recognizing examples according to the relationship between the classes and the attributes. The method has the advantages that by using the method, the built knowledge classification of the vertical field knowledge map is clear; the self study and the automatic expansion of the knowledge map are realized; and the key effects are achieved on the information retrieval and semantic analysis of the vertical field.

Description

technical field [0001] The invention relates to a method for constructing a knowledge map based on a vertical field, which is mainly used for a question answering system in a vertical field and semantic analysis of information search, and improves retrieval accuracy. The invention automatically learns and expands domain knowledge graphs by defining class constraints in the knowledge graph and identifying entities according to the class constraints, relying on natural language processing related technologies and computer technologies. Background technique [0002] In May 2012, Google proposed the concept of "knowledge graph" on the basis of ontology, which expanded the entities of ontology and the relationship between them. Make the user's search information correspond to an entity in the objective world, not just a string. Google uses the knowledge graph to implement the function of the question answering system, returning to the user an accurate answer, not just a series o...

AI Technical Summary

Problems solved by technology

[0013] The present invention aims to provide a method for constructing knowledge graphs based on vertical fields to solve the semantic analysis of information retrieval and automatic question answering systems in existing vertical fields, as well as the low recall and accuracy of information retrieval and automatic question answering systems The problem

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