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Emergent Ontologies by Collaborative Tagging for Knowledge Management
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Author(s): Weena Jimenez (University of Oviedo, Spain), César Luis Alvargonzález (University of Oviedo, Spain), Pablo Abella Vallina (University of Oviedo, Spain), Jose María Álvarez Gutiérrez (University of Oviedo, Spain), Patricia Ordóñez de Pablos (Universidad de Oviedo, Spain)and Jose Emilio Labra Gayo (University of Oviedo, Spain)
Copyright: 2013
Pages: 16
Source title:
Advancing Information Management through Semantic Web Concepts and Ontologies
Source Author(s)/Editor(s): Patricia Ordóñez de Pablos (Universidad de Oviedo, Spain), Héctor Oscar Nigro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina), Robert D. Tennyson (University of Minnesota, USA), Sandra Elizabeth Gonzalez Cisaro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina)and Waldemar Karwowski (University of Central Florida, USA)
DOI: 10.4018/978-1-4666-2494-8.ch002
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Abstract
The massive use of Internet and social networks leads us to a new dynamic environment with huge amounts of unstructured and unclassified information resources in continuous evolution. New classification, compilation, and recommendation systems based on the use of folksonomies and ontologies have appeared to deal with the requirements of data management in this environment. Nevertheless, using ontologies alone has some weaknesses due to the need of being statically modeled by a set of experts in a specific domain. On the other hand, folksonomies show a lack of formality because of their implicit ambiguity and flexibility by definition. The main objective of this chapter is to outline and evaluate a new way to exploit Web information resources and tags for bridging the gap between ontology modeling and folksonomies.
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