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Review of the state of the art: discovering and associating semantics to tags in folksonomies

Published online by Cambridge University Press:  22 February 2012

Andrés García-Silva*
Affiliation:
Ontology Engineering Group, Facultad de Informática, Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Spain; e-mail: hgarcia@fi.upm.es, ocorcho@fi.upm.es, asun@fi.upm.es
Oscar Corcho*
Affiliation:
Ontology Engineering Group, Facultad de Informática, Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Spain; e-mail: hgarcia@fi.upm.es, ocorcho@fi.upm.es, asun@fi.upm.es
Harith Alani*
Affiliation:
Knowledge Media Institute, The Open University, Milton Keynes MK7 6AA, UK; e-mail: h.alani@open.ac.uk
Asunción Gómez-Pérez*
Affiliation:
Ontology Engineering Group, Facultad de Informática, Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Spain; e-mail: hgarcia@fi.upm.es, ocorcho@fi.upm.es, asun@fi.upm.es

Abstract

This paper describes and compares the most relevant approaches for associating tags with semantics in order to make explicit the meaning of those tags. We identify a common set of steps that are usually considered across all these approaches and frame our descriptions according to them, providing a unified view of how each approach tackles the different problems that appear during the semantic association process. Furthermore, we provide some recommendations on (a) how and when to use each of the approaches according to the characteristics of the data source, and (b) how to improve results by leveraging the strengths of the different approaches.

Type
Articles
Copyright
Copyright © Cambridge University Press 2012

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