An ontology-based framework for knowledge retrieval
Paper
Paper/Presentation Title | An ontology-based framework for knowledge retrieval |
---|---|
Presentation Type | Paper |
Authors | Tao, Xiaohui (Author), Li, Yuefeng (Author), Zhong, Ning (Author) and Nayak, Richi (Author) |
Editors | Jain, Lakhmi, Lingras, Pawan, Klusch, Matthias and Lu, Jie |
Journal or Proceedings Title | Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2008) |
ERA Conference ID | 60342 |
Number of Pages | 8 |
Year | 2008 |
Place of Publication | Los Alamitos, CA. USA |
ISBN | 9780769534961 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/WIIAT.2008.226 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4740500 |
Conference/Event | 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2008) |
IEEE/WIC/ACM International Conference on Web Intelligence (WI) | |
Event Details | 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2008) Event Date 09 to end of 12 Dec 2008 Event Location Sydney, Australia |
Event Details | IEEE/WIC/ACM International Conference on Web Intelligence (WI) WI |
Abstract | Retrieving accurate information from the Web is a great challenge to users. The existing information retrieval systems are mostly term-based and thus need to be enhanced toward knowledge-based. User information needs need to be better captured in order to deliver personalized search results. In this paper, an ontology-based framework is proposed for capturing user information needs using a world knowledge base and the user's local instance repository. The framework aims to discover a user's background knowledge for knowledge retrieval. The evaluation result is encouraging, in which the proposed model achieved the same performance as a manual user model. |
Keywords | background knowledge; evaluation results; knowledge retrievals; ontology-based; personalized searches; user information needs; user models; world knowledge |
ANZSRC Field of Research 2020 | 460903. Information modelling, management and ontologies |
469999. Other information and computing sciences not elsewhere classified | |
460508. Information retrieval and web search | |
Public Notes | © 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Queensland University of Technology |
Maebashi Institute of Technology, Japan | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1019/an-ontology-based-framework-for-knowledge-retrieval
Download files
1719
total views303
total downloads0
views this month0
downloads this month