원문정보
초록
영어
At present, information retrieval systems are simply expressed with a combination of keyword search according to the direct keyword matching method to get the information that users need. Because of this, documents retrieval systems serve too many documents due to term ambiguity. This makes the user need extra time and effort to get closer the document. To overcome these problems, this paper proposes the information retrieval system based on the content that connects documents according to the degree of semantic link that expresses a fuzzy value by fuzzy function. This paper also proposes an algorithm that produces a hierarchical structure using the degree of concept and content among documents. As a result, we are able to select and to provide user-interested documents.
목차
1. Introduction
2. Related Studies
3. Modeling of Concept Information of Documents by Applying Fuzzy Function
a. Fuzzy Membership Function
b. Fuzzy Relation
c. Modeling of Concept Information of Documents
d. Modeling of Relation among Concept Information
4. Concept Information-applied Document Classification System
a. Overall System Architecture
b. Indexing (Category-Representative Word)
c. Generating Documents Categories using Similarity Class
5. System Performance Evaluation
a. Evaluation of Classification Precision
b. Performance Evaluation for Document Classification System
6. Conclusion
References