Abstract Framework For Social Ontologies And Folksonomized Ontologies

Many web-based public repositories are widely adopting tag-based metadata approaches as their main classification mechanism. This phenomenon is fostering initiatives to improve the semantic interpretation of tags, usually involving two main entities: "social ontologies", which emerges from the collaborative tagging (folksonomies), and formal ontologies. In order to analyze and compare these initiatives we present here an abstract framework. It supports our argument that existing approaches do not explore the full potential of the combination between folksonomies and ontologies due to their unidirectionality. The framework is also the basis to evidence that a fusion approach - -as proposed in our "folksonomized ontology" - -enables to better explore the organic semantics of folksonomies combined to the engineered semantics of ontologies. © 2012 ACM.ACM Special Interest Group on Management of Data (SIGMOD)Alves, H., Santanchè, A., Folksonomized ontologies - From social to formal (2011) XVII Brazilian Symposium on Multimedia and the WebBang, B.H.K., Dané, E., Grandbastien, M., Merging semantic and participative approaches for organising teachers' documents (2008) Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2008, pp. 4959-4966. , J. Luca and E. R. Weippl, editors, Vienna, Austria, June AACECantador, I., Konstas, I., Jose, J.M., Categorising social tags to improve folksonomy-based recommendations (2011) Web Semantics: Science, Services and Agents on the World Wide Web, 9, pp. 1-15. , MarchCattuto, C., Benz, D., Hotho, A., Stumme, G., Semantic grounding of tag relatedness in social bookmarking systems (2008) LNAI, 5318, pp. 615-631. , The Semantic Web - ISWC 2008, Proc.Intl. Semantic Web Conference 2008, Heidelberg, SpringerHeymann, P., Garcia-Molina, H., (2006) Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems, , Technical report, Computer Science Department, Standford University, AprilKotis, K., Alexopoulos, P., Papasalouros, A., Towards a framework for trusting the automated learning of social ontologies (2010) Lecture Notes in Computer Science, 6291, pp. 388-399. , Y. Bi and M.-A. Williams, editors, Knowledge Science, Engineering and Management, Springer Berlin/HeidelbergLimpens, F., Gandon, F., Buffa, M., Helping online communities to semantically enrich folksonomies (2010) Web Science Conference 2010Resnik, P., Using information content to evaluate semantic similarity in a taxonomy (1995) Proceedings of the 14th IJCAI, pp. 448-453. , C. R. Perrault, editor, Montréal (Canada)Specia, L., Motta, E., Integrating folksonomies with the semantic web (2007) LNCS, 4519, pp. 624-639. , Proceedings of the European Semantic Web Conference (ESWC2007), Berlin Heidelberg, Germany, July Springer-VerlagSuchanek, F.M., Kasneci, G., Weikum, G., Yago: A core of semantic knowledge (2007) Proceedings of the 16th International Conference on World Wide Web, WWW '07, pp. 697-706. , New York, NY, USA, ACMTesconi, M., Ronzano, F., Marchetti, A., Minutoli, S., Semantify del.icio.us: Automatically turn your tags into senses (2008) First Workshop on Social Data on the Web (SDoW2008)Van Damme, C., Hepp, M., Siorpaes, K., Folksontology: An integrated approach for turning folksonomies into ontologies (2007) Proceedings of the ESWC Workshop "Bridging the Gap between Semantic Web and Web 2.0", , SpringerVander Wal, T., (2007) Folksonomy, , http://vanderwal.net/folksonomy.html, Retrieved on April, 201