Connotation Searching Method for Paper Retrieval System Based On Fuzzy Rules

DOI

10.2991/iske.2007.245How to use a DOI?

Keywords

Document Searching, Latent semantic indexing, Fuzzy information retrieval, Document Clustering, Web searching

Abstract

In this paper, an overall framework on paper retrieval system based on paper’s connotation is proposed. Paper database is sorted into four ranks. Each of them is mainly described by an extended keyword set, which is served as the carrier of the precise connotation of a paper. Based on the matching degree between the paper introduction’s vocabulary and the extended keywords set of the topics, papers in those topics is selected by using fuzzy rules. So the papers whose connotation approximates to the user’s interest can be obtained. Furthermore, an automatic method to identify new and hot topics is presented.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Hailiang Zhao
AU  - Yue Ma
PY  - 2007/10
DA  - 2007/10
TI  - Connotation Searching Method for Paper Retrieval System Based On Fuzzy Rules
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1440
EP  - 1446
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.245
DO  - 10.2991/iske.2007.245
ID  - Zhao2007/10
ER  -