Abstract
With the vertiginous volume information growing, the amount of answers provided by traditional search engines and satisfying syntactically the user queries has enlarged directly. In order to reduce this problem the race to develop Semantic Search Engines (SSE) is increasingly popular. Currently, there are multiple proposals for Semantic Search Engines, and they are using a wide range of methods for matching the semantics behind user queries and the indexed collection of resources. In this work we survey the semantic search engines domain, and present a miscellaneous of perspectives about the different classification of approaches. We have created a comparative scheme and identified the prevalent research directions in SSE.
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Renteria-Agualimpia, W., López-Pellicer, F.J., Muro-Medrano, P.R., Nogueras-Iso, J., Zarazaga-Soria, F.J. (2010). Exploring the Advances in Semantic Search Engines. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_78
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DOI: https://doi.org/10.1007/978-3-642-14883-5_78
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