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Title:      DOMAIN ONTOLOGIES MODELING VIA SEMANTIC ANNOTATIONS OF UNSTRUCTURED WIKI KNOWLEDGE
Author(s):      Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica
ISBN:      978-989-8533-09-8
Editors:      Bebo White and Pedro IsaĆ­as
Year:      2012
Edition:      Single
Keywords:      Semantic Web, Ontology modeling, Semantic wikis, Information Retrieval, Unstructured data, Collaborative knowledge management.
Type:      Full Paper
First Page:      93
Last Page:      100
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      This paper focuses on ontology modeling. The approach presented is mainly aimed to ontology modeling using Information Retrieval and statistical techniques for structuring wiki contents. Indeed, authors propose to exploit a semantic wiki as collaborative knowledge management tool, by guiding users in enriching unstructured wiki contents with semantic annotations. Semantic annotations compliant to ontological models are provided to users which are not required learning formal ontology languages. A specific domain knowledge is managed, i.e. the labour market domain, to define ontology concepts and properties useful to annotate the wiki pages. The semantic wiki developed, called WiWork, is presented with two related ontological models, the WiWork Core ontology and the Labour Market ontology.
   

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