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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.