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Authors: Montserrat Batet 1 ; Aïda Valls 1 and Karina Gibert 2

Affiliations: 1 Universitat Rovira i Virgili, Spain ; 2 Univ. Politècnica de Catalunya, Spain

Keyword(s): Ontologies, Numerical and categorical data, Semantic similarity, Clustering, Tourism analysis.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Enterprise Ontologies ; Formal Methods ; Ontologies ; Sensor Networks ; Signal Processing ; Simulation and Modeling ; Soft Computing ; Symbolic Systems

Abstract: The development of large ontologies for general and specific domains provides new tools to improve the quality of data mining techniques such as clustering. In this paper we explain how to improve clustering results by exploiting the semantics of categorical data by means of ontologies and how this semantics can be included into a hierarchical clustering method. We want to prove that when the conceptual meaning of the values is taken into account, it is possible to find a better interpretation of the clusters. This is demonstrated with the analysis of real data collected from visitors to of a Natural Reserve. The results of our methodology are compared with the ones obtained with a classical multivariate analysis done in the same database.

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Paper citation in several formats:
Batet, M.; Valls, A. and Gibert, K. (2011). SEMANTIC CLUSTERING BASED ON ONTOLOGIES - An Application to the Study of Visitors in a Natural Reserve. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8425-40-9; ISSN 2184-433X, SciTePress, pages 283-289. DOI: 10.5220/0003165602830289

@conference{icaart11,
author={Montserrat Batet. and Aïda Valls. and Karina Gibert.},
title={SEMANTIC CLUSTERING BASED ON ONTOLOGIES - An Application to the Study of Visitors in a Natural Reserve},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2011},
pages={283-289},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003165602830289},
isbn={978-989-8425-40-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - SEMANTIC CLUSTERING BASED ON ONTOLOGIES - An Application to the Study of Visitors in a Natural Reserve
SN - 978-989-8425-40-9
IS - 2184-433X
AU - Batet, M.
AU - Valls, A.
AU - Gibert, K.
PY - 2011
SP - 283
EP - 289
DO - 10.5220/0003165602830289
PB - SciTePress

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