Research Of Tags Semantic Relationships Mining Based On Chinese Semantic Dictionary

In recent years,all of Del.icio.us,Flicker,douban and other Web2.0 sites at home and abroad has obtained the good development momentum,its features of decentralized,open and sharing makes network users playing an increasingly important role in the Internet information generated,organization,transmission and sharing of all stages.Network users are allowed to comply with their respective understanding of information resources spontaneously choose natural language to describe certain types of resources,and its biggest advantage is that it is neither adopt strict standard of classification,tag language is not subject to any restrictions.This freedom,flexible,convenient and casual way of information organization was called "folksonomy",it since appears is concerned and welcomed by the majority of network users,and also having a profound impact and great changes on the way of People's Daily work and study.In folksonomy,the process of endow tags to information resources,which embodies the collective wisdom of the majority of network users in the Web2.0 era,also these tags implies rich semantic relation.However,this freedom and casual tagging features of folksonomy also brought some drawbacks to tags,such as part of speech and grammatical structure of tags is complicated and varied,the classification categories of tags is blurred,the semantic relationships of tags is absent,and so on.Such drawbacks will not only reduce the efficiency of using tags to retrieve internet information resource to some extent,but also adapting to the new requirements of the Semantic Web is more difficult in Web3.0 era.At present,the concept semantic of Chinese semantic dictionary resource are constructed artificially and relatively accurate,which contains a wealth of semantic relationships between concepts and concepts,eliminating the semantic ambiguity between the concepts,to ensure the accuracy of syntax and semantics of the concept.Therefore,in this paper,which combines Chinese semantic dictionary with tags,mining homoionym,synonymy,hypernym and hyponym of tags with the help of a typical Chinese semantic dictionary like Cilin,HowNet,CSC and CCT.There are six chapters in full content:The first chapter,firstly introduced the selected topic background and research significance of this article,and then a comprehensive review is given on the domestic and foreign research status of the tag semantic relation mining and folksonomy is combined with controlled vocabularies,finally illustrates the research contents and research methods of this article,and the focus in the study of this article and innovation points.The second chapter,illustrates the connotation and basic characteristics of tags,introduces the composition and characteristics of common Chinese semantic dictionary and its development course,to lay the groundwork for the use of Chinese semantic dictionary to mining the semantic relationship between tags.The third chapter,first of all,this paper elaborates tags semantic correlation analysis.And then discusses the feasibility of tags is combined with Chinese semantic dictionary be used for tag semantics recognition and semantic retrieval.Finally,the combination mechanism between tags and Chinese semantic dictionary is proposed.The fourth chapter,discusses in detail the realization method of mining homoionym,synonymy,hypernym and hyponym of tags based on Chinese semantic dictionary.First of all,using HowNet and Cilin to calculate the semantic similarity of tags and set appropriate thresholds to explore the homoionym relationship of tags.And then discusses the implementation steps for mining the synonymy relationship of tags with the help of HowNet,Cilin and CSC.Finally is the realization method of mining hypernym and hyponym of tags based on CSC and CCT.The fifth chapter,with the tags data resources from "douban book" of douban as an example for empirical study,discussing mining homoionym,synonymy,hypernym and hyponym of tags based on the foregoing Chinese semantic dictionary.The sixth chapter,summarizes the research work and the deficiency of this paper,and carries on the discussion and prospect of the further study.