Topical search engine for Internet of Things

Mosab Faqeeh; Mahmoud Al-Ayyoub; Mohammad Wardat; Ismail Hmeidi; Yaser Jararweh

doi:10.1109/AICCSA.2014.7073287

Topical search engine for Internet of Things

Mosab Faqeeh
, Mahmoud Al-Ayyoub
, Mohammad Wardat
, Ismail Hmeidi
, Yaser Jararweh

Jordan University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

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 generalpurpose 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.

Original language	English
Title of host publication	2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014
Publisher	IEEE Computer Society
Pages	829-835
Number of pages	7
ISBN (Electronic)	9781479971008
DOIs	https://doi.org/10.1109/AICCSA.2014.7073287
State	Published - 2014
Externally published	Yes
Event	2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014 - Doha, Qatar Duration: 10 Nov 2014 → 13 Nov 2014

Publication series

Name	Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Volume	2014
ISSN (Print)	2161-5322
ISSN (Electronic)	2161-5330

Conference

Conference	2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014
Country/Territory	Qatar
City	Doha
Period	10/11/14 → 13/11/14

Access to Document

10.1109/AICCSA.2014.7073287

Cite this

Faqeeh, M., Al-Ayyoub, M., Wardat, M., Hmeidi, I., & Jararweh, Y. (2014). Topical search engine for Internet of Things. In 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014 (pp. 829-835). Article 7073287 (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA; Vol. 2014). IEEE Computer Society. https://doi.org/10.1109/AICCSA.2014.7073287

@inproceedings{c7baf9304b3245a58f433f42920d7fd0,

title = "Topical search engine for Internet of Things",

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 generalpurpose 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.",

author = "Mosab Faqeeh and Mahmoud Al-Ayyoub and Mohammad Wardat and Ismail Hmeidi and Yaser Jararweh",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014 ; Conference date: 10-11-2014 Through 13-11-2014",

year = "2014",

doi = "10.1109/AICCSA.2014.7073287",

language = "English",

series = "Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA",

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Faqeeh, M, Al-Ayyoub, M, Wardat, M, Hmeidi, I & Jararweh, Y 2014, Topical search engine for Internet of Things. in 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014., 7073287, Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, vol. 2014, IEEE Computer Society, pp. 829-835, 2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014, Doha, Qatar, 10/11/14. https://doi.org/10.1109/AICCSA.2014.7073287

Topical search engine for Internet of Things. / Faqeeh, Mosab; Al-Ayyoub, Mahmoud; Wardat, Mohammad et al.
2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014. IEEE Computer Society, 2014. p. 829-835 7073287 (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA; Vol. 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Topical search engine for Internet of Things

AU - Faqeeh, Mosab

AU - Al-Ayyoub, Mahmoud

AU - Wardat, Mohammad

AU - Hmeidi, Ismail

AU - Jararweh, Yaser

PY - 2014

Y1 - 2014

N2 - 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 generalpurpose 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.

AB - 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 generalpurpose 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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U2 - 10.1109/AICCSA.2014.7073287

DO - 10.1109/AICCSA.2014.7073287

M3 - Conference contribution

AN - SCOPUS:84988255575

T3 - Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA

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EP - 835

BT - 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014

PB - IEEE Computer Society

T2 - 2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014

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ER -

Faqeeh M, Al-Ayyoub M, Wardat M, Hmeidi I, Jararweh Y. Topical search engine for Internet of Things. In 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014. IEEE Computer Society. 2014. p. 829-835. 7073287. (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA). doi: 10.1109/AICCSA.2014.7073287

Topical search engine for Internet of Things

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