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An Ontology-Based Extraction Framework for a Semantic Web Application
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Author(s): Hadrian Peter (University of the West Indies, Barbados)and Charles Greenidge (University of the West Indies, Barbados)
Copyright: 2013
Pages: 16
Source title:
Intelligence Methods and Systems Advancements for Knowledge-Based Business
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-4666-1873-2.ch013
PurchaseView on the publisher's website for pricing and purchasing information.
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Abstract
The Semantic Web vision is rapidly becoming a mainstream reality, but obstacles remain in the way. A major challenge is the adoption of practical Semantic Web applications and the production of vast stores of ubiquitous meta-data which is needed to allow robust inference engines to attain the goals of machine readability of web documents. The authors propose the Semantic Web Applications (SEMWAP) framework which facilitates semi-automatic matching of instance data from opaque web databases using lightweight ontology terms. This framework combines information retrieval, information extraction, natural language processing, and ontology techniques to produce a matching and thus provides a viable building block for Semantic Web applications. To experimentally investigate the characteristics and limitations of the SEMWAP framework, a prototype system called the Semantic Ontological Data Labeler (SODL) was constructed.
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