published by Syrian Virtual University
in 2015
in Informatics Engineering
and research's language is
العربية
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Abstract in English
Most of the well-known search engines such as Google are text search engines that match the vocabulary entered only by the user and retrieve a list of results. The search engine model proposed in this thesis achieves a better solution that does not match the vocabulary entered by the user only, but rather matches other words that are related. With the vocabulary statements in the ontologies supporting it.
References used
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Bing - Search API : متوفر على http://www.bing.com/developers/s/APIBasics.html
WordNet Search - 3.1 - Princeton University – : متوافر على http://wordnetweb.princeton.edu/perl/webwn
A. Hogan, A. Harth, J. Umrich, S. Kinsella, A. Polleres, and S. Decker, "Searching and browsing linked data with swse: the semantic web search engine," Web Semantics: Science, Services and Agents on the World Wide Web, vol. 9, no. 4, 2012. [Online]. Available: http://www.websemanticsjournal.org/index.php/ps/article/view/240