Dependency syntax tree-based knowledge graph expansion method and system

Abstract

The invention provides a dependency syntax tree-based knowledge graph expansion method and system. The method comprises the steps of crawling a basic corpus set A and a knowledge extraction corpus setB; performing cleaning, sentence segmentation and word segmentation processing on corpora of the two corpus sets; performing syntax analysis on the corpora subjected to the word segmentation, and according to an analysis result, constructing a dependency syntax tree; combining the dependency syntax tree constructed based on the basic corpus set A with corresponding knowledge in a knowledge graphto generate dependency syntax tree rules, calculating score values, and adding the score values and the dependency syntax tree rules to a dependency syntax tree rule library G0; expanding the rule library G0 by the corpus set B subjected to syntax analysis to form a rule library G1; extracting knowledge in the corpus set B subjected to the syntax analysis by utilizing the rule library G1, and taking the knowledge with a highest score on matching of an attribute word subjected to knowledge extraction and an attribute word library as alternative knowledge; and adding the alterative knowledge notoccurring in the knowledge graph to the knowledge graph. The labor cost is reduced; and the knowledge in different fields can be added to the knowledge graph.

Description

technical field [0001] The invention relates to the technical field of Chinese information processing, in particular to a method and system for expanding a knowledge graph based on a dependency syntax tree. Background technique [0002] The knowledge map, known as KnowleBge GrAph in English, is supported by associated data sets and other knowledge bases, semantically annotating and associating data resources, and establishing a relational network. Through in-depth semantic analysis and mining, with the help of powerful semantic processing capabilities and open interconnection capabilities, Provide users with convenient and intelligent browsing and retrieval services through a visual interface. The knowledge graph is essentially a semantic network and one of the achievements of the semantic network technology. At present, with the rapid increase in the number of Semantic Web resources, the release and sharing of a large amount of RBF data, Linking OpenBAtA (LOB) and other pr...

AI Technical Summary

Problems solved by technology

During the construction process, expert assistance with high domain knowledge is required, which consumes a lot of human resources

Based on supervised methods such as deep learning, a large amount of text information is required, which also increases the cost of building and expanding knowledge graphs

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