Topical search engine for Internet of Things
Published in 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), (Doha, Qatar), 2014
Recommended citation: Mosab Faqeeh, Mahmoud Al-Ayyoub, Mohammad Wardat, Ismail Hmeidi, and Yaser Jararweh. "Topical search engine for Internet of Things." 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA). IEEE, 2014. http://wardat.github.io/files/Topical_search.pdf
Abstract: Internet of Things (IoT) has become a common buzzword nowadays in the Web. However, there is no search tool currently in place for discovering and learning about the different types of IoT elements. Hence, this paper presents a topical search engine for IoT. The motivation for a topical search engine comes from the relatively poor performance of general-purpose search engines, which depend on the results of generic Web crawlers. The topical search engine is a system that learns the specialization from examples, and then explores the Web, guided by a relevance and popularity rating mechanism. The results show that the proposed topical search engine outperforms other general search engines.
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