Ontology learning from domain specific web documents. (2nd June 2009)

• Record Type: Journal Article
• Authors: Hazman, Maryam; El-Beltagy, Samhaa R.; Rafea, Ahmed
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 4:Number 1/2(2009)
• Page Start: 24
• Page End: 33
• Publication Date: 2009-06-02
• Subjects: ontology learning -- taxonomic ontology -- AGROVOC -- domain-specific documents -- web documents -- agriculture -- Arabic extension documents; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

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.