Ontology mining for personalized web information gathering
Paper
Paper/Presentation Title | Ontology mining for personalized web information gathering |
---|---|
Presentation Type | Paper |
Authors | Tao, Xiaohui (Author), Li, Yuefeng (Author), Zhong, Ning (Author) and Nayak, Richi (Author) |
Editors | Lin, T. Y. and Haas, Laura |
Journal or Proceedings Title | Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2007) |
Number of Pages | 8 |
Year | 2007 |
Place of Publication | Los Alamitos, CA. United States |
ISBN | 9780769530260 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/WI.2007.88 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4427116 |
Conference/Event | 2007 IEEE/WIC/ACM International Conference on Web Intelligence |
Event Details | 2007 IEEE/WIC/ACM International Conference on Web Intelligence Event Date 02 to end of 05 Nov 2007 Event Location Fremont, United States of America |
Abstract | It is well accepted that ontology is useful for personalized Web information gathering. However, it is challenging to use semantic relations of 'kind-of', 'part-of', and 'related-to' and synthesize commonsense and expert knowledge in a single computational model. In this paper, a personalized ontology model is proposed attempting to answer this challenge. A two-dimensional (Exhaustivity and Specificity) method is also presented to quantitatively analyze these semantic relations in a single framework. The proposals are successfully evaluated by applying the model to a Web information gathering system. The model is a significant contribution to personalized ontology engineering and concept-based Web information gathering in Web Intelligence. |
Keywords | web searching; ontology; information theory; knowledge based systems; semantics |
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 | © 2007 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/q1021/ontology-mining-for-personalized-web-information-gathering
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