Social Web Evolution – Book Chapter
Pattern Matching Techniques to Identify Syntactic Variations of Tags in Folksonomies
Social Web Evolution: Integrating Semantic Applications and Web 2.0 Technologies
As semantic technologies prove their value with targeted applications, there are increasing opportunities to consider their usefulness in social contexts for knowledge, learning, and human development.
Social Web Evolution: Integrating Semantic Applications and Web 2.0 Technologies explores the potential of Web 2.0 and its synergies with the Semantic Web and provides state-of-the-art theoretical foundations and technological applications. A reference edition for academicians, practitioners, policy makers, and government officers eager for knowledge on Web 2.0 and social Web, this book emphasizes practical aspects of the integration of semantic applications into social Web technologies.
Article Abstract
Folksonomies offer an easy method to organize information in the current Web. This fact and their collaborative features have derived in an extensive involvement in many Social Web projects. However they present important drawbacks regarding their limited exploring and searching capabilities, in contrast with other methods as taxonomies, thesauruses and ontologies. One of these drawbacks is an effect of its flexibility for tagging, producing frequently multiple syntactic variations of a same tag. In this paper we study the application of two classical pattern matching techniques, Levenshtein distance for the imperfect string matching and Hamming distance for the perfect string matching, to identify syntactic variations of tags.
Authors
F. Echarte, J.J. Astrain, A. Córdoba, J. Villadangos
Referencia
Echarte, F., Astrain, J.J., Córdoba, A., Villadangos, J.: Pattern Matching Techniques to Identify Syntactic Variations of Tags in Folksonomies, In: M.D. Lytras and P. Ordoñez de Pablos (Eds.) Social Web Evolution: Integrating Semantic Applications and Web 2.0 Technologies. Hershey, PA: IGI Global.
