Recommendation of text tags using linked data

Authors:
Andrea Calì;Stefano Capuzzi;Mirko Michele Dimartino;Riccardo Frosini
Affiliations:
University of London, UK and University of Oxford, UK;Università di Brescia, Italy;University of London, UK;University of London, UK
Venue:
Proceedings of the 3rd International Workshop on Semantic Search Over the Web
Year:
2013

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Abstract

We illustrate our approach to recommending short texts according to their semantic similarity to a given one. We make use of Linked Data on the Web to discover similarity between words, and then we analyze the syntax of sentences to compute a degree of similarity between them. We show some preliminary experimental results as well as some directions for future research.