Analysis Of Dependency Semantic And Semantic Web Transformation Research

Semantic analysis is through the analysis of language elements to achieve computer-human communication.The reasonable analysis of semantics facilitates us to understand more deeply the structure of sentences.Adding dummy words in the process of building a Dependency Semantic Framework can help us see clearly the difference between the syntax networks and help us gradually understand the change of network nodes function.This article refers to the study of related semantic relations,dependency semantic relations,argument relations,semantic composition research,etc.First,the framework of dependency semantic was formulated.Using biometric texts,a dependent semantic tree of 1000 words was constructed.And special situation in the semantic process,such as”被 "sentence," 把 sentence,objects in the preposition was treated in a special way.With Cytoscape software,we constructed the Semantic Web and Syntactic Net.Through the overall comparative analysis of the data in the software,we found the diameter of the Semantic Web and the average shortest distance is larger than the syntax net,but the clustering coefficient is smaller than the syntax net.In the analysis of local nodes,we also found that high-frequency nodes are "的" "是" "和"and so on,both in the syntactic network and in the semantic network occupied an important position.Syntactic and semantic networks,although using the same text,have the same nodes,but the characteristics of the network are still different.Compared with previous studies,we have found that the status of virtual words(such as "的","个"and" 和")is important in the Semantic Web.So in the process of semantic analysis,virtual words should also be taken into account.The subsequent processing of semantic relations,as well as the comparison between semantics and syntax,it will give us help.