Personalized navigation in the semantic web

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Abstract

Effective navigation and information retrieval is difficult and time consuming due to the increasing size of hyperspace. The introduction of the semantic web allows us to enhance traditional search methods with semantic search capabilities that take advantage of machine readable semantic information ideally stored in an ontology. Nevertheless issues concerning the user-friendly construction of search queries and a simple yet effective presentation of search results must still be addressed. The proposed approach takes advantage of adaptive hypermedia in an enhanced faceted browser capable of dynamically adapting the set of available facets with additional support for data retrieval from an ontology and adaptive annotation of search results. © Springer-Vorlag Berlin Heidelberg 2006.

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Tvarožek, M. (2006). Personalized navigation in the semantic web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4018 LNCS, pp. 467–471). Springer Verlag. https://doi.org/10.1007/11768012_71

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