Path search between concepts over a semantic network is an issue of great interest for many applications, such as explanation generation and query expansion. In this study a new approach is proposed, to guide navigation over a collaborative concept network, in order to discover path between concepts. The method uses a semantic heuristic based on proximity measures, which reflects the collective knowledge embedded in search engines. The experiments held on the Wikipedia network and Bing search engine on a range of different semantic measures show that the proposed approach outperforms state of the art search methods.

Heuristic semantic walk: Browsing a collaborative network with a search engine-based heuristic / Franzoni, Valentina; Milani, Alfredo. - STAMPA. - 7974(2013), pp. 643-656. ((Intervento presentato al convegno 13th International Conference on Computational Science and Its Applications (ICCSA) tenutosi a Ho Chi Minh City, VIETNAM nel JUN 24-27, 2013 [10.1007/978-3-642-39649-6_46].

Heuristic semantic walk: Browsing a collaborative network with a search engine-based heuristic

FRANZONI, VALENTINA;
2013

Abstract

Path search between concepts over a semantic network is an issue of great interest for many applications, such as explanation generation and query expansion. In this study a new approach is proposed, to guide navigation over a collaborative concept network, in order to discover path between concepts. The method uses a semantic heuristic based on proximity measures, which reflects the collective knowledge embedded in search engines. The experiments held on the Wikipedia network and Bing search engine on a range of different semantic measures show that the proposed approach outperforms state of the art search methods.
978-364239648-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/947532
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