Visualization in Faceted Search Engine - A Review

Advanced Analytics; Big data; Visualization; Faceted search; Information exploration; Large data; Pre-processing; Search process; Search engines

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Bibliographic Details
Main Authors: Mahdi M.N., Ahmad A.R., Subhi M.A., Ismail R., Qassim Q.S.
Other Authors: 56727803900
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-251532023-05-29T16:07:00Z Visualization in Faceted Search Engine - A Review Mahdi M.N. Ahmad A.R. Subhi M.A. Ismail R. Qassim Q.S. 56727803900 35589598800 57205154762 15839357700 36613541700 Advanced Analytics; Big data; Visualization; Faceted search; Information exploration; Large data; Pre-processing; Search process; Search engines Finding information through search engines from large data repositories becomes more complicated due to three things; the growth and the size of the Web, insufficient relevancy of most of the search results, and the need to sort out the more relevant results from less relevant results. For more than a decade, many great methods and tools for visualization in faceted search engines have been developed and literature about them published in conference proceedings and journals. However, there are still rooms for improvement. To take up this, we have reviewed many visualizations based faceted search and performed our research especially on information exploration on the Web with the purpose of finding a better way to address visualization in faceted search. In this research, we discuss some issues among many, such as pre-processing and acquisition of search results that need to be taken into consideration in the development of a visualization based faceted search. The main contribution of this paper is a report of the review of past information on visualization-based faceted search tools and the mechanisms for enhancing filters to reduce down the results of the search process. � 2020 IEEE. Final 2023-05-29T08:07:00Z 2023-05-29T08:07:00Z 2020 Conference Paper 10.1109/ICBDA50157.2020.9289761 2-s2.0-85099706276 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099706276&doi=10.1109%2fICBDA50157.2020.9289761&partnerID=40&md5=881442b8a75f98c195abc0831e2baf57 https://irepository.uniten.edu.my/handle/123456789/25153 9289761 84 89 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Advanced Analytics; Big data; Visualization; Faceted search; Information exploration; Large data; Pre-processing; Search process; Search engines
author2 56727803900
author_facet 56727803900
Mahdi M.N.
Ahmad A.R.
Subhi M.A.
Ismail R.
Qassim Q.S.
format Conference Paper
author Mahdi M.N.
Ahmad A.R.
Subhi M.A.
Ismail R.
Qassim Q.S.
spellingShingle Mahdi M.N.
Ahmad A.R.
Subhi M.A.
Ismail R.
Qassim Q.S.
Visualization in Faceted Search Engine - A Review
author_sort Mahdi M.N.
title Visualization in Faceted Search Engine - A Review
title_short Visualization in Faceted Search Engine - A Review
title_full Visualization in Faceted Search Engine - A Review
title_fullStr Visualization in Faceted Search Engine - A Review
title_full_unstemmed Visualization in Faceted Search Engine - A Review
title_sort visualization in faceted search engine - a review
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425494510370816
score 13.222552