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Emergent Ontologies by Collaborative Tagging for Knowledge Management

Emergent Ontologies by Collaborative Tagging for Knowledge Management

Weena Jimenez, César Luis Alvargonzález, Pablo Abella Vallina, Jose María Álvarez Gutiérrez, Patricia Ordóñez de Pablos, Jose Emilio Labra Gayo
Copyright: © 2013 |Pages: 16
ISBN13: 9781466624948|ISBN10: 1466624949|EISBN13: 9781466624955
DOI: 10.4018/978-1-4666-2494-8.ch002
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MLA

Jimenez, Weena, et al. "Emergent Ontologies by Collaborative Tagging for Knowledge Management." Advancing Information Management through Semantic Web Concepts and Ontologies, edited by Patricia Ordóñez de Pablos, et al., IGI Global, 2013, pp. 54-69. https://doi.org/10.4018/978-1-4666-2494-8.ch002

APA

Jimenez, W., Alvargonzález, C. L., Vallina, P. A., Gutiérrez, J. M., Ordóñez de Pablos, P., & Gayo, J. E. (2013). Emergent Ontologies by Collaborative Tagging for Knowledge Management. In P. Ordóñez de Pablos, H. Nigro, R. Tennyson, S. Gonzalez Cisaro, & W. Karwowski (Eds.), Advancing Information Management through Semantic Web Concepts and Ontologies (pp. 54-69). IGI Global. https://doi.org/10.4018/978-1-4666-2494-8.ch002

Chicago

Jimenez, Weena, et al. "Emergent Ontologies by Collaborative Tagging for Knowledge Management." In Advancing Information Management through Semantic Web Concepts and Ontologies, edited by Patricia Ordóñez de Pablos, et al., 54-69. Hershey, PA: IGI Global, 2013. https://doi.org/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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