Abstract
The paper presents a web based system that aims to improve Web exploration by enabling users to discover knowledge associated to his need. Indeed, in exploratory search, the user is willing not only to find documents relevant with respect to his query but he is also interested in learning, discovering and understanding knowledge on complex and sometimes unknown topics. We rely on DBpedia to explore the semantics of keywords thus suggesting potentially interesting related topics or keywords to the user and enabling user-friendly and intelligent content discovery.
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Carbonaro, A. (2013). Discovery and Learning in a Semantic Framework. In: Lytras, M.D., Ruan, D., Tennyson, R.D., Ordonez De Pablos, P., GarcÃa Peñalvo, F.J., Rusu, L. (eds) Information Systems, E-learning, and Knowledge Management Research. WSKS 2011. Communications in Computer and Information Science, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35879-1_58
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DOI: https://doi.org/10.1007/978-3-642-35879-1_58
Publisher Name: Springer, Berlin, Heidelberg
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