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Authors: Endang Djuana 1 ; Yue Xu 1 ; Yuefeng Li 1 ; Audun Josang 2 and Clive Cox 3

Affiliations: 1 Queensland University of Technology, Australia ; 2 University of Oslo, Norway ; 3 Rummble Ltd, United Kingdom

Keyword(s): Collaborative Tagging, Tag Recommendation, Domain Ontology, Folksonomy, Sparsity Problem.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Sensor Networks ; Signal Processing ; Society, e-Business and e-Government ; Soft Computing ; Software Agents and Internet Computing ; Symbolic Systems ; User Profiling and Recommender Systems ; Web 2.0 and Social Networking Controls ; Web Information Systems and Technologies

Abstract: Tags or personal metadata for annotating web resources have been widely adopted in Web 2.0 sites. However, as tags are freely chosen by users, the vocabularies are diverse, ambiguous and sometimes only meaningful to individuals. Tag recommenders may assist users during tagging process. Its objective is to suggest relevant tags to use as well as to help consolidating vocabulary in the systems. In this paper we discuss our approach for providing personalized tag recommendation by making use of existing domain ontology generated from folksonomy. Specifically we evaluated the approach in sparse situation. The evaluation shows that the proposed ontology-based method has improved the accuracy of tag recommendation in this situation.

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Paper citation in several formats:
Djuana, E.; Xu, Y.; Li, Y.; Josang, A. and Cox, C. (2013). An Ontology-based Method for Sparsity Problem in Tag Recommendation. In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8565-60-0; ISSN 2184-4992, SciTePress, pages 467-474. DOI: 10.5220/0004439904670474

@conference{iceis13,
author={Endang Djuana. and Yue Xu. and Yuefeng Li. and Audun Josang. and Clive Cox.},
title={An Ontology-based Method for Sparsity Problem in Tag Recommendation},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2013},
pages={467-474},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004439904670474},
isbn={978-989-8565-60-0},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - An Ontology-based Method for Sparsity Problem in Tag Recommendation
SN - 978-989-8565-60-0
IS - 2184-4992
AU - Djuana, E.
AU - Xu, Y.
AU - Li, Y.
AU - Josang, A.
AU - Cox, C.
PY - 2013
SP - 467
EP - 474
DO - 10.5220/0004439904670474
PB - SciTePress