A knowledge retrieval model using ontology mining and user profiling
Article
Article Title | A knowledge retrieval model using ontology mining and user profiling |
---|---|
ERA Journal ID | 41720 |
Article Category | Article |
Authors | Tao, Xiaohui (Author), Li, Yuefeng (Author) and Nayak, Richi (Author) |
Journal Title | Integrated Computer Aided Engineering |
Journal Citation | 15 (4), pp. 313-329 |
Number of Pages | 17 |
Year | 2008 |
Place of Publication | Netherlands |
ISSN | 1069-2509 |
1875-8835 | |
Digital Object Identifier (DOI) | https://doi.org/10.3233/ICA-2008-15404 |
Web Address (URL) | https://content.iospress.com/articles/integrated-computer-aided-engineering/ica00296 |
Abstract | Over the last decade, the rapid growth and adoption of the World Wide Web has further exacerbated the user need for efficient mechanisms for information and knowledge location, selection and retrieval. Much research in the area of semantic web is already underway, adopting information retrieval tools and techniques. However, much work is required to address knowledge retrieval; for instance, users' information needs could be better interpreted, leading to accurate information retrieval. In this paper, a novel computational model is proposed for solving retrieval problems by constructing and mining a personalized ontology based on world knowledge and a user's Local Instance Repository. The proposed model is evaluated by applying to a Web information gathering system, and the result is promising. |
Keywords | computational modelling; information needs; knowledge retrieval; rapid growth; retrieval tools; user need; user profiling; web information |
ANZSRC Field of Research 2020 | 461008. Organisation of information and knowledge resources |
469999. Other information and computing sciences not elsewhere classified | |
460508. Information retrieval and web search | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Queensland University of Technology |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0zww/a-knowledge-retrieval-model-using-ontology-mining-and-user-profiling
Download files
1763
total views254
total downloads0
views this month0
downloads this month