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Towards ontology extraction from data-intensive web sites : an HTML forms-based reverse engineering approach
Joint Authors
Mimoun, Maliki
Rahmun, Abd al-Latif
Rahmuni, Mustafa
Bin Sulayman, Sayyid
Source
The International Arab Journal of Information Technology
Issue
Vol. 5, Issue 1 (31 Jan. 2008), pp.34-44, 11 p.
Publisher
Publication Date
2008-01-31
Country of Publication
Jordan
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
The advance of the Web has significantly and rapidly changed the way of information organization, sharing and distribution.
However, most of the information that is available has to be interpreted by humans; machine support is rather limited.
The next generation of the web, the semantic web, seeks to make information more usable by machines by introducing a more rigorous structure based on ontology.
In this context we try to propose a novel and integrated approach for migrating data-intensive web into ontology-based semantic web and thus, make the web content machine-understandable.
Our approach is based on the idea that semantics can be extracted from the structures and the instances of HTML forms which are the most convenient interface to communicate with relational databases on the current Web.
This semantics is exploited to help build ontology.
American Psychological Association (APA)
Bin Sulayman, Sayyid& Mimoun, Maliki& Rahmuni, Mustafa& Rahmun, Abd al-Latif. 2008. Towards ontology extraction from data-intensive web sites : an HTML forms-based reverse engineering approach. The International Arab Journal of Information Technology،Vol. 5, no. 1, pp.34-44.
https://search.emarefa.net/detail/BIM-10557
Modern Language Association (MLA)
Bin Sulayman, Sayyid…[et al.]. Towards ontology extraction from data-intensive web sites : an HTML forms-based reverse engineering approach. The International Arab Journal of Information Technology Vol. 5, no. 1 (Jan. 2008), pp.34-44.
https://search.emarefa.net/detail/BIM-10557
American Medical Association (AMA)
Bin Sulayman, Sayyid& Mimoun, Maliki& Rahmuni, Mustafa& Rahmun, Abd al-Latif. Towards ontology extraction from data-intensive web sites : an HTML forms-based reverse engineering approach. The International Arab Journal of Information Technology. 2008. Vol. 5, no. 1, pp.34-44.
https://search.emarefa.net/detail/BIM-10557
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 43-44
Record ID
BIM-10557