DocumentCode :
2428019
Title :
Domain Ontology Usage Analysis Framework
Author :
Ashraf, Jamshaid ; Hadzic, Maja
Author_Institution :
Digital Ecosyst. & Bus. Intell. (DEBII), Curtin Univ., Perth, WA, Australia
fYear :
2011
fDate :
24-26 Oct. 2011
Firstpage :
75
Lastpage :
82
Abstract :
The Semantic Web (also known as Web of Data) is growing fast and becoming a decentralized knowledge platform for publishing and sharing information. The web ontologies promote the establishment of a shared understanding between data providers and data consumers, allowing for automated information processing and effective and efficient information retrieval. The majority of existing research efforts is focused around ontology engineering, ontology evaluation and ontology evolution. This work goes a step further and evaluates the ontology usage. In this paper, we present an Ontology USage Analysis Framework (OUSAF) and a set of metrics used to measure the ontology usage. The implementation of the proposed framework is illustrated using the example of Good Relations ontology (GRO). GRO has been well adopted by the semantic ecommerce community, and the OUSAF approach has been used to analyse GRO usage in the dataset comprised of RDF data collected from the web.
Keywords :
information retrieval; ontologies (artificial intelligence); semantic Web; Web ontologies; World Wide Web; automated information processing; data consumer; decentralized knowledge platform; domain ontology usage analysis framework; good relations ontology; information retrieval; ontology engineering; ontology evaluation; ontology evolution; semantic Web; semantic ecommerce community; Knowledge based systems; Measurement; Ontologies; Resource description framework; Semantics; Vocabulary; GoodRelations; Ontology Usage; Semantic web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics Knowledge and Grid (SKG), 2011 Seventh International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1323-1
Type :
conf
DOI :
10.1109/SKG.2011.33
Filename :
6088094
Link To Document :
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