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Content Provider | IEEE Xplore Digital Library |
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Author | Lu, J. Rahman, U. Chen, H. |
Copyright Year | 2005 |
Description | Author affiliation: Sch. of Comput. & Eng., Univ. of Huddersfield, UK (Lu, J.; Rahman, U.) |
Abstract | It is oftentimes the case that a frequent Web surfer, wishing to find something 'specific' to his or her particular search query, is presented with a vast number of possible search matches, out of which only a few are pertinent to what the surfer actually desires. If the machine knows what semantic data, not syntactic, is being provided on a Web page, then it can present the user with richer information and more accurate search results. A solution is to make use of the technologies that aim to achieve the vision of the 'the semantic Web' technology. This research is to use meta data (XML) in Web pages and manipulating it using RDF, through aids from an ontology and intelligent agents would make information content machine understandable and facilitate search facilities. |
Sponsorship | Coventry Univ. IEEE IEE British Comput. Soc |
Starting Page | 458 |
Ending Page | 463 |
File Size | 948044 |
Page Count | 6 |
File Format | |
ISBN | 1846000025 |
DOI | 10.1109/CSCWD.2005.194215 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-05-24 |
Publisher Place | UK |
Access Restriction | Subscribed |
Rights Holder | Coventry University |
Subject Keyword | Intelligent agent Information retrieval Search engines Keyword search Web pages Resource description framework Natural languages Hydrogen Mechanical engineering Ontologies |
Content Type | Text |
Resource Type | Article |
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