Andrea Calì
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.
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Index Terms
- Recommendation of text tags using linked data
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