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. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Franzoni, V., & Milani, A. (2013). Heuristic semantic walk: Browsing a collaborative network with a search engine-based heuristic. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7974 LNCS, pp. 643–656). Springer Verlag. https://doi.org/10.1007/978-3-642-39649-6_46
Mendeley helps you to discover research relevant for your work.