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A Study on the Linguistics Document Categorization Based on Ontology

Author: CaoYaMei
Tutor: TianXueDong
School: Hebei University
Course: Linguistics and Applied Linguistics
Keywords: Text Classification Noumenon Domain ontology Linguistics literature Match
CLC: H0
Type: Master's thesis
Year: 2007
Downloads: 39
Quote: 0
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Abstract


With the rapid increase of the amount of information on the Internet , the deepening of research in linguistics workers , how complex literature materials , quickly and accurately find the information needed by the user , text classification plays a very important role . Which semantic - based text classification becoming mainstream , semantic relations carrier - body , has become the focus of academic attention . Ontology is the description of the concepts and relationships , ontology-based text classification is based on the knowledge level and semantic level classification . This paper discusses the ontology of the field of linguistics and applied to text categorization significance based on detailed analysis of the semantic relationships between words linguistics internal build domain ontology for linguistics literature . The linguistics literature classification match Ontology based on the relationship between . First, the use of the word segmentation system of literature for word processing and keyword extraction , certainly improved TFIDF algorithm , feature selection literature keywords to determine the characteristics of the text to be classified items . Then , the fields stored in the library of these characteristics entry domain ontology feature items match, to thereby obtain the class of the text . This article describes two classification algorithm , one is based on the concept of semantic matching , fuzzy matching kinds of non- conformance . No matter what kind of algorithm , can to some extent make up for the lack of lack of semantic links in the current classification system , to improve the accuracy of text classification .

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