Authors: Hazman, Maryam¹; El-Beltagy, Samhaa R.²; Rafea, Ahmed³

Source: International Journal of Metadata, Semantics and Ontologies, Volume 4, Numbers 1-2, 30 May 2009 , pp. 24-33(10)

Publisher: Inderscience Publishers

Abstract:

Ontologies play a vital role in many web- and internet-related applications. This work presents a system for accelerating the ontology building process via semi-automatically learning a hierarchal ontology given a set of domain-specific web documents and a set of seed concepts. The methods are tested with web documents in the domain of agriculture. The ontology is constructed through the use of two complementary approaches. The presented system has been used to build an ontology in the agricultural domain using a set of Arabic extension documents and evaluated against a modified version of the AGROVOC ontology.

Keywords: COMPUTING AND MATHEMATICS JOURNALS; Computing Science, Applications and Software

Document Type: Research article

DOI: http://dx.doi.org/10.1504/IJMSO.2009.026251

Affiliations: 1: Central Lab for Agricultural Expert Systems, Agricultural Research Center, Ministry of Agriculture and Land Reclamation, El-Nour St. P.O. Box 438 Dokki, Giza, Egypt. 2: Faculty of Computers and Information, Computer Science Department, Cairo University, 5 Dr. Ahmed Zewail Street, 12613 Orman, Giza, Egypt. 3: Computer Science Department, American University in Cairo, 113 Kasr El Aini St., P.O. Box 2511, 11511 Cairo, Egypt

Publication date: 2009-05-30

More about this publication?

• International Journal of Metadata, Semantics and Ontologies aims at publishing research advances and discussions about meta-data in a broad sense, and about their associated semantics and ontological structures, from a multi-disciplinary perspective, and with an emphasis on domain-specific ontologies and organisational, human interaction and social issues regarding metadata annotation, use and assessment. It also intends covering Semantic Web research, as a concrete metadata-intensive technological framework in which shared and standardised semantics are a critical issue.
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