Title :
Topical search engine for Internet of Things
Author :
Faqeeh, Mosab ; Al-Ayyoub, Mahmoud ; Wardat, Mohammad ; Hmeidi, Ismail ; Jararweh, Yaser
Author_Institution :
Jordan Univ. of Sci. & Technol., Irbid, Jordan
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.
Keywords :
Internet of Things; search engines; Internet of Things; IoT; general-purpose search engines; generic Web crawlers; popularity rating mechanism; relevance rating mechanism; topical search engine; Accuracy; Crawlers; Databases; Internet of things; Search engines; Web pages;
Conference_Titel :
Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference on
DOI :
10.1109/AICCSA.2014.7073287