Relevance assessment of topic ontology
Paper
Paper/Presentation Title | Relevance assessment of topic ontology |
---|---|
Presentation Type | Paper |
Authors | Zhou, Xujuan (Author), Li, Yuefeng (Author), Xu, Yue (Author) and Lau, Raymond (Author) |
Journal or Proceedings Title | Proceedings of the 4th International Conference on Active Media Technology |
Number of Pages | 8 |
Year | 2006 |
ISBN | 9781586036157 |
Web Address (URL) of Paper | https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=11159 |
Conference/Event | 4th International Conference on Active Media Technology (AMT 2006) |
Event Details | 4th International Conference on Active Media Technology (AMT 2006) Event Date 07 to end of 09 Jun 2006 Event Location Brisbane, Australia |
Abstract | In traditional Information Retrieval (IR), user profiles are often represented by keyword/concepts space vectors or by some predefined categories. Unfortunately, this data is often inadequately or incompletely interpreted. Ontology-based user profile is another newer approach. This method is able to provide richer semantic information to facilitate information retrieval processes. It has become an important means for semantic-based information search and retrieval. Some ontology-based user profile models have been developed over the past few years. With the increasing usage of this method, it raises the issues of effective relevance measurement for the evaluation of ontologies. In practice, it is crucial to find a good relevance assessment algorithm for measuring the quality of ontologies. To represent user profile by relevant topic ontology, this paper presents a new method capable of measuring the user profile more objectively and hence has great potential to enhance the IR processes. |
Keywords | topic ontology; user profiles; relevance assessment; information retrieval |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Queensland University of Technology |
City University of Hong Kong, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3964/relevance-assessment-of-topic-ontology
814
total views7
total downloads3
views this month0
downloads this month