Mapping method from WordNet to Neo4J, semantic detection method and semantic calculation expansion interface generation method

Abstract

The invention discloses a mapping method from WordNet to Neo4J, a semantic detection method and a semantic calculation expansion interface generation method, and the method comprises the steps: extracting effective information of a synonym set, and mapping the effective information to synonym set nodes in the Neo4J; adopting a breadth-first algorithm to traverse each two synonym collection points associated with each other according to a specific relationship, and generating a connection between the corresponding Neo4J synonym collection points; traversing all words in the WordNet and the semantic element set corresponding to each word, and binding the words to the synonym set based on the semantic element set to form word nodes. According to the method, high-efficiency semantic calculation is realized by adopting the WordNet-based semantic relation network, the realization of semantic calculation floats to a Cyper language layer, the expression is more visual, the semantic calculation is visualized, the semantic calculation is mapped to a graph structure of Neo4j, and the data processing speed is higher. The optimization of the graph structure of the Neo4j enables the query in the implementation process of the semantic detection algorithm to be reduced from the spatial complexity On^n to O1.

Description

technical field [0001] The invention mainly relates to the technical field of information processing, in particular to a mapping method from WordNet to Neo4J, a semantic detection method and a semantic calculation extension interface generation method. Background technique [0002] WordNet is an English dictionary based on cognitive linguistics designed by experts from Princeton University. Because it overcomes the problem of uniform information organization in traditional dictionaries, it is very suitable for semantic computing. Its core is to extract the semantic relationship between words, realize the visualization through the concept of synset, and form a semantic relationship network. Each synonym set represents a basic semantic concept, and words realize an indirect connection between words by linking each synonym set. In WordNet, there are mainly noun semantic network, verb semantic network, adjective semantic network and adverb semantic network. [0003] Neo4j is a...

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Problems solved by technology

[0004] Purpose of the invention: the embodiment of the present invention provides a mapping method from WordNet to Neo4J to solve the problems of complex and slow semantic calculation in the prior art; the present invention also provides a semantic detection method based on the Neo4J library, whi

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