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Evaluating usability and precision of visual search engine

Authors:

Leyla Zhuhadar,

Olfa NasraouiAuthors Info & Claims

SpringSim '10: Proceedings of the 2010 Spring Simulation Multiconference

Article No.: 239, Pages 1 - 4

https://doi.org/10.1145/1878537.1878786

Published: 11 April 2010 Publication History

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Abstract

In this paper, we evaluate a visual search engine that is designed to solve the real problem of browsing and searching for documents in a vast repository of colleges/courses located at Western Kentucky University (WKU). The architectural design of this interface combines Formal Concept Analysis (FCA) with Semantic Factoring to decompose complex, vast concepts into their primitives in order to develop knowledge representation for the HyperManyMedia plat-form. The main objective of this study is to test: (a) the efficiency of ranking the documents using precision, and (b) the usability of the visual search engine. This approach has been implemented and used by online students at WKU.

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L. Zhuhadar, O. Nasraoui, and R. Wyatt. Metadata as seeds for building an ontology driven information retrieval system. International Journal of Hybrid Intelligent Systems, 6(3):169--186, 2009.

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L. Zhuhadar, O. Nasraoui, and R. Wyatt. Visual Ontology-Based Information Retrieval System. In Proceedings of the 2009 13th International Conference Information Visualisation-Volume 00, pages 419--426. IEEE Computer Society, 2009.

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Leyla Zhuhadar, Olfa Nasraoui, and Robert Wyatt. Metadata domain-knowledge driven search engine in "hypermanymedia" e-learning resources. In CSTST '08: Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology, pages 363--370, New York, NY, USA, 2008. ACM.

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Hajian Hoseinabadi ACheshmehSohrabi M(2022)Proposing a New Combined Indicator for Measuring Search Engine Performance and Evaluating Google, Yahoo, DuckDuckGo, and Bing Search Engines based on Combined IndicatorJournal of Librarianship and Information Science10.1177/0961000622113857956:1(178-197)Online publication date: 8-Dec-2022
https://doi.org/10.1177/09610006221138579
Zhuhadar L(2018)A synergistic strategy for combining thesaurus-based and corpus-based approaches in building ontology for multilingual search enginesComputers in Human Behavior10.1016/j.chb.2015.03.02151:PB(1107-1115)Online publication date: 23-Dec-2018
https://dl.acm.org/doi/10.1016/j.chb.2015.03.021
Gaona-García PMartin-Moncunill DMontenegro-Marin C(2017)Trends and challenges of visual search interfaces in digital libraries and repositoriesThe Electronic Library10.1108/EL-03-2015-004635:1(69-98)Online publication date: 6-Feb-2017
https://doi.org/10.1108/EL-03-2015-0046

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Evaluating usability and precision of visual search engine
1. Information systems
  1. Information retrieval

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Published In

SpringSim '10: Proceedings of the 2010 Spring Simulation Multiconference

April 2010

1726 pages

ISBN:9781450300698

General Chairs:
Robert McGraw
RAM Laboratories, Inc
,
Eric Imsand
Auburn University
,
Program Chair:
Michael J. Chinni
US Army - RDECOM - ARDEC

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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Society for Computer Simulation International

San Diego, CA, United States

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Published: 11 April 2010

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SpringSim '10: 2010 Spring Simulation Conference

April 11 - 15, 2010

Florida, Orlando

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Hajian Hoseinabadi ACheshmehSohrabi M(2022)Proposing a New Combined Indicator for Measuring Search Engine Performance and Evaluating Google, Yahoo, DuckDuckGo, and Bing Search Engines based on Combined IndicatorJournal of Librarianship and Information Science10.1177/0961000622113857956:1(178-197)Online publication date: 8-Dec-2022
https://doi.org/10.1177/09610006221138579
Zhuhadar L(2018)A synergistic strategy for combining thesaurus-based and corpus-based approaches in building ontology for multilingual search enginesComputers in Human Behavior10.1016/j.chb.2015.03.02151:PB(1107-1115)Online publication date: 23-Dec-2018
https://dl.acm.org/doi/10.1016/j.chb.2015.03.021
Gaona-García PMartin-Moncunill DMontenegro-Marin C(2017)Trends and challenges of visual search interfaces in digital libraries and repositoriesThe Electronic Library10.1108/EL-03-2015-004635:1(69-98)Online publication date: 6-Feb-2017
https://doi.org/10.1108/EL-03-2015-0046

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Discovering the representative of a search engine

Discovering the representative of a search engine

LOD search engine: A semantic search over linked data

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