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Improving Faceted Search Results for Web-based Information Exploration

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@article{IJASEIT9959,
   author = {Mohammed Najah Mahdi and Abdul Rahim Ahmad and Roslan Ismail},
   title = {Improving Faceted Search Results for Web-based Information Exploration},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {3},
   year = {2020},
   pages = {1143--1152},
   keywords = {exploratory search; faceted search; visualization; search engine.},
   abstract = {The World Wide Web (WWW), a fast-growing store, contains a significant portion of human knowledge. However, the sheer scale of the Web, along with the fact that it is decentralized, highly redundant, and largely inaccurate, causes the use of the knowledge is quite cumbersome. The present search engines (SEs) use the query, and the response lookup process is incapable of producing a precise result. Thus, researchers work beyond this paradigm to explore a new class of methods to seek information, which known as an exploratory search (ES). This ES is open-ended, and its faceted search (FS) improves the overall search process. The search engine presented in this study is running in the cloud computing platform environment. Its development is based on the idea of improving visual ES while exploring information on the Web. This notion reflects the process of seeking and combing the vast information by using the coordinated visualization method, apart from minimizing the effort spent in seeking information per query. Finally, we evaluate the proposed prototype against the Internet Movie Database (IMDb) search engine, an online database of information related to films, television programs, home videos, video games, and streaming content online including cast, production crew, and personal biographies, plot summaries, trivia, fan, and critical reviews, and ratings.  The results show that the proposed search engine gives more relevant search results as compared with the others.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9959},
   doi = {10.18517/ijaseit.10.3.9959}
}

EndNote

%A Mahdi, Mohammed Najah
%A Ahmad, Abdul Rahim
%A Ismail, Roslan
%D 2020
%T Improving Faceted Search Results for Web-based Information Exploration
%B 2020
%9 exploratory search; faceted search; visualization; search engine.
%! Improving Faceted Search Results for Web-based Information Exploration
%K exploratory search; faceted search; visualization; search engine.
%X The World Wide Web (WWW), a fast-growing store, contains a significant portion of human knowledge. However, the sheer scale of the Web, along with the fact that it is decentralized, highly redundant, and largely inaccurate, causes the use of the knowledge is quite cumbersome. The present search engines (SEs) use the query, and the response lookup process is incapable of producing a precise result. Thus, researchers work beyond this paradigm to explore a new class of methods to seek information, which known as an exploratory search (ES). This ES is open-ended, and its faceted search (FS) improves the overall search process. The search engine presented in this study is running in the cloud computing platform environment. Its development is based on the idea of improving visual ES while exploring information on the Web. This notion reflects the process of seeking and combing the vast information by using the coordinated visualization method, apart from minimizing the effort spent in seeking information per query. Finally, we evaluate the proposed prototype against the Internet Movie Database (IMDb) search engine, an online database of information related to films, television programs, home videos, video games, and streaming content online including cast, production crew, and personal biographies, plot summaries, trivia, fan, and critical reviews, and ratings.  The results show that the proposed search engine gives more relevant search results as compared with the others.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9959
%R doi:10.18517/ijaseit.10.3.9959
%J International Journal on Advanced Science, Engineering and Information Technology
%V 10
%N 3
%@ 2088-5334

IEEE

Mohammed Najah Mahdi,Abdul Rahim Ahmad and Roslan Ismail,"Improving Faceted Search Results for Web-based Information Exploration," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 3, pp. 1143-1152, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.3.9959.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Mahdi, Mohammed Najah
AU  - Ahmad, Abdul Rahim
AU  - Ismail, Roslan
PY  - 2020
TI  - Improving Faceted Search Results for Web-based Information Exploration
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 3
Y2  - 2020
SP  - 1143
EP  - 1152
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - exploratory search; faceted search; visualization; search engine.
N2  - The World Wide Web (WWW), a fast-growing store, contains a significant portion of human knowledge. However, the sheer scale of the Web, along with the fact that it is decentralized, highly redundant, and largely inaccurate, causes the use of the knowledge is quite cumbersome. The present search engines (SEs) use the query, and the response lookup process is incapable of producing a precise result. Thus, researchers work beyond this paradigm to explore a new class of methods to seek information, which known as an exploratory search (ES). This ES is open-ended, and its faceted search (FS) improves the overall search process. The search engine presented in this study is running in the cloud computing platform environment. Its development is based on the idea of improving visual ES while exploring information on the Web. This notion reflects the process of seeking and combing the vast information by using the coordinated visualization method, apart from minimizing the effort spent in seeking information per query. Finally, we evaluate the proposed prototype against the Internet Movie Database (IMDb) search engine, an online database of information related to films, television programs, home videos, video games, and streaming content online including cast, production crew, and personal biographies, plot summaries, trivia, fan, and critical reviews, and ratings.  The results show that the proposed search engine gives more relevant search results as compared with the others.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9959
DO  - 10.18517/ijaseit.10.3.9959

RefWorks

RT Journal Article
ID 9959
A1 Mahdi, Mohammed Najah
A1 Ahmad, Abdul Rahim
A1 Ismail, Roslan
T1 Improving Faceted Search Results for Web-based Information Exploration
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 3
YR 2020
SP 1143
OP 1152
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 exploratory search; faceted search; visualization; search engine.
AB The World Wide Web (WWW), a fast-growing store, contains a significant portion of human knowledge. However, the sheer scale of the Web, along with the fact that it is decentralized, highly redundant, and largely inaccurate, causes the use of the knowledge is quite cumbersome. The present search engines (SEs) use the query, and the response lookup process is incapable of producing a precise result. Thus, researchers work beyond this paradigm to explore a new class of methods to seek information, which known as an exploratory search (ES). This ES is open-ended, and its faceted search (FS) improves the overall search process. The search engine presented in this study is running in the cloud computing platform environment. Its development is based on the idea of improving visual ES while exploring information on the Web. This notion reflects the process of seeking and combing the vast information by using the coordinated visualization method, apart from minimizing the effort spent in seeking information per query. Finally, we evaluate the proposed prototype against the Internet Movie Database (IMDb) search engine, an online database of information related to films, television programs, home videos, video games, and streaming content online including cast, production crew, and personal biographies, plot summaries, trivia, fan, and critical reviews, and ratings.  The results show that the proposed search engine gives more relevant search results as compared with the others.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9959
DO  - 10.18517/ijaseit.10.3.9959