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Automatic Semantic Header Generator

Title:

Automatic Semantic Header Generator

Desai, Bipin C. ORCID: https://orcid.org/0000-0002-9142-7928 and Haddad, Sami S. (2019) Automatic Semantic Header Generator. pp. 1-50. (Unpublished)

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Abstract

As the amount of information and the number of Internet users grow, the problem of
indexing and retrieval of electronic information resources becomes more critical. 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.
The COncordia INdexing and DIscovery system is an indexing system. It is a powerful
means of helping users locate documents, software, and other types of data among large repositories. In environments that contain many different types of data, content indexing requires type-specific processing to extract information effectively. The Semantic Header, which is proposed by Desai [11], contains the semantic contents of information resources. It provides a useful tool in searching for a document based on a number of commonly used criteria. The information from the semantic header could be used by the search system to help locate appropriate documents with minimum effort. This paper introduces an automatic tool for the extraction and storage of some of the meta-information in a Semantic Header and an automatic text classification scheme.

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 S.
Date:5 August 2019
ID Code:985645
Deposited By: BIPIN C. DESAI
Deposited On:12 Aug 2019 18:28
Last Modified:19 Aug 2019 00:00
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