Improving Search and Navigation by Combining Ontologies and Social Tags

Authors:
Silvia Bindelli;Claudio Criscione;Carlo A. Curino;Mauro L. Drago;Davide Eynard;Giorgio Orsi
Affiliations:
Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy 20133;Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy 20133;Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy 20133;Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy 20133;Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy 20133;Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy 20133
Venue:
OTM '08 Proceedings of the OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: 2008 Workshops: ADI, AWeSoMe, COMBEK, EI2N, IWSSA, MONET, OnToContent + QSI, ORM, PerSys, RDDS, SEMELS, and SWWS
Year:
2008

Citing 0
Cited 4

Annotating Atomic Components of Papers in Digital Libraries: The Semantic and Social Web Heading towards a Living Document Supporting eSciences

DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Invited Paper: Semantic Web and Social Web heading towards Living Documents in the Life Sciences

Web Semantics: Science, Services and Agents on the World Wide Web
Personalized recommender system based on item taxonomy and folksonomy

CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Rank-mediated collaborative tagging recommendation service using video-tag relationship prediction

Information Systems Frontiers

Quantified Score

Hi-index	0.00

Visualization

Abstract

The Semantic Web has the ambitious goal of enabling complex autonomous applications to reason on a machine-processable version of the World Wide Web. This, however, would require a coordinated effort not easily achievable in practice. On the other hand, spontaneous communities, based on social tagging, recently achieved noticeable consensus and diffusion. The goal of the TagOnto system is to bridge between these two realities by automatically mapping (social) tags to more structured domain ontologies, thus, providing assistive, navigational features typical of the Semantic Web. These novel searching and navigational capabilities are complementary to more traditional search engine functionalities. The system, and its intuitive AJAX interface, are released and demonstrated on-line.