Fuzzy information retrieval indexed by concept identification
- Authors
- Kang, BY; Kim, Dae-Won; Kim, HJ
- Issue Date
- Sep-2005
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- TEXT, SPEECH AND DIALOGUE, PROCEEDINGS, v.3658, pp 179 - 186
- Pages
- 8
- Journal Title
- TEXT, SPEECH AND DIALOGUE, PROCEEDINGS
- Volume
- 3658
- Start Page
- 179
- End Page
- 186
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40656
- ISSN
- 0302-9743
1611-3349
- Abstract
- To retrieve relevant information, indexing should be achieved using the concepts of the document that a writer intends to highlight. Moreover, the user involvement is increasingly required to extract relevant information from information sources. Therefore, in the present work we propose a fuzzy retrieval model indexed by concept identification: (1) a concept identification based indexing and (2) a novel fuzzy ranking model. The concept based indexing identifies index terms by considering the concepts of a document, and a novel fuzzy ranking model based on the user preference is presented, which is able to calculates the relevance ranking based on the user preference.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.