A heuristic-based methodology for semantic augmentation of user queries on the web

Burton-Jones, Andrew, Storey, Veda C., Sugumaran, Vijayan and Purao, Sandeep (2003). A heuristic-based methodology for semantic augmentation of user queries on the web. In: Conceptual Modeling - ER 2003: 22nd International Conference on Conceptual Modeling proceedings. 22nd International Conference on Conceptual Modeling (ER 2003), Chicago, IL, United States, (476-489). 13-16 October 2003. doi:10.1007/978-3-540-39648-2_37


Author Burton-Jones, Andrew
Storey, Veda C.
Sugumaran, Vijayan
Purao, Sandeep
Title of paper A heuristic-based methodology for semantic augmentation of user queries on the web
Conference name 22nd International Conference on Conceptual Modeling (ER 2003)
Conference location Chicago, IL, United States
Conference dates 13-16 October 2003
Proceedings title Conceptual Modeling - ER 2003: 22nd International Conference on Conceptual Modeling proceedings   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2003
Sub-type Fully published paper
DOI 10.1007/978-3-540-39648-2_37
ISBN 3-540-20299-4
ISSN 0302-9743
1611-3349
Volume 2813
Start page 476
End page 489
Total pages 13
Language eng
Abstract/Summary As the World Wide Web continues to grow, so does the need for effective approaches to processing users’ queries that retrieve the most relevant information. Most search engines provide the user with many web pages, but at varying levels of relevancy. The Semantic Web has been proposed to retrieve and use more semantic information from the web. However, the capture and processing of semantic information is a difficult task because of the well-known problems that machines have with processing semantics. This research proposes a heuristic-based methodology for building context aware web queries. The methodology expands a user’s query to identify possible word senses and then makes the query more relevant by restricting it using relevant information from the WordNet lexicon and the DARPA DAML library of domain ontologies. The methodology is implemented in a prototype. Initial testing of the prototype and comparison to results obtained from Google show that this heuristic based approach to processing queries can provide more relevant results to users, especially when query terms are ambiguous and/or when the methodology’s heuristics are invoked.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Conference Paper
Collection: UQ Business School Publications
 
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Created: Fri, 29 Jun 2012, 13:44:24 EST by Karen Morgan on behalf of UQ Business School