Recommendation of text tags using linked data
Andrea Calı̀, Stefano Capuzzi, Mirko Michele Dimartino, Riccardo Frosini · 2013
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.