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Extracting Semantics of Documents Using Semantic Header Generator

Title:

Extracting Semantics of Documents Using Semantic Header Generator

Desai, Bipin C. ORCID: https://orcid.org/0000-0002-9142-7928, Haddad, Sami M and Wang, Tao (2008) Extracting Semantics of Documents Using Semantic Header Generator. (Unpublished)

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Abstract

Accurate representation of electronic information on the Internet underlies a solid foundation for precise information retrieval. However, the existing search systems tend to generate misses and false hits due to the fact that they attempt to match the specified search terms without context in the target information resource. It is clear that using traditional keywords-based methods for representing semantics of information items has become a major obstacle to high precision. In this paper, we propose the notion of Semantic Header to replace keyword indexing in extracting the meanings of information resources
that marks explicitly the logical structure of a document. The information from the Semantic Header could be used by the search system to help locate appropriate documents with minimum effort. We also introduce an automatic tool, called Automatic Semantic Header Generator (ASHG), used for generating the meta-information for some significant fields of Semantic Header.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Article
Refereed:No
Authors:Desai, Bipin C. and Haddad, Sami M and Wang, Tao
Date:February 2008
ID Code:990931
Deposited By: Bipin C. Desai
Deposited On:25 Oct 2022 16:20
Last Modified:25 Oct 2022 16:20
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