Towards the development of an integrated framework for enhancing enterprise search using latent semantic indexing

Obada Alhabashneh, Rahat Iqbal, Nazaraf Shah, Saad Amin, Anne James

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    12 Citations (Scopus)

    Abstract

    While we have seen significant success in web search, enterprise search has not yet been widely investigated and as a result the benefits that can otherwise be brought to the enterprise are not fully realized. In this paper, we present an integrated framework for enhancing enterprise search. This framework is based on open source technologies which include Apache Hadoop, Tika, Solr and Lucene. Importantly, the framework also benefits from a Latent Semantic Indexing (LSI) algorithm to improve the quality of search results. LSI is a mathematical model used to discover the semantic relationship patterns in a documents collection. We envisage that the proposed framework will benefit various enterprises, improving their productivity by meeting information needs effectively.

    Original languageEnglish
    Title of host publicationConceptual Structures for Discovering Knowledge - 19th International Conference on Conceptual Structures, ICCS 2011, Proceedings
    Pages346-352
    Number of pages7
    Volume6828 LNAI
    DOIs
    Publication statusPublished - 2011
    Event19th International Conference on Conceptual Structures, ICCS 2011 - Derby, United Kingdom
    Duration: 25 Jul 201129 Jul 2011

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume6828 LNAI
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Conference

    Conference19th International Conference on Conceptual Structures, ICCS 2011
    CountryUnited Kingdom
    CityDerby
    Period25/07/1129/07/11

    Fingerprint

    Latent Semantic Indexing
    Semantics
    Industry
    Web Search
    Open Source
    Productivity
    Mathematical Model
    Mathematical models
    Framework

    Keywords

    • Document Ranking
    • Enterprise Search (ES)
    • Latent Semantic Indexing (LSI)
    • Search Context

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Cite this

    Alhabashneh, O., Iqbal, R., Shah, N., Amin, S., & James, A. (2011). Towards the development of an integrated framework for enhancing enterprise search using latent semantic indexing. In Conceptual Structures for Discovering Knowledge - 19th International Conference on Conceptual Structures, ICCS 2011, Proceedings (Vol. 6828 LNAI, pp. 346-352). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6828 LNAI). https://doi.org/10.1007/978-3-642-22688-5_29

    Towards the development of an integrated framework for enhancing enterprise search using latent semantic indexing. / Alhabashneh, Obada; Iqbal, Rahat; Shah, Nazaraf; Amin, Saad; James, Anne.

    Conceptual Structures for Discovering Knowledge - 19th International Conference on Conceptual Structures, ICCS 2011, Proceedings. Vol. 6828 LNAI 2011. p. 346-352 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6828 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    Alhabashneh, O, Iqbal, R, Shah, N, Amin, S & James, A 2011, Towards the development of an integrated framework for enhancing enterprise search using latent semantic indexing. in Conceptual Structures for Discovering Knowledge - 19th International Conference on Conceptual Structures, ICCS 2011, Proceedings. vol. 6828 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6828 LNAI, pp. 346-352, 19th International Conference on Conceptual Structures, ICCS 2011, Derby, United Kingdom, 25/07/11. https://doi.org/10.1007/978-3-642-22688-5_29
    Alhabashneh O, Iqbal R, Shah N, Amin S, James A. Towards the development of an integrated framework for enhancing enterprise search using latent semantic indexing. In Conceptual Structures for Discovering Knowledge - 19th International Conference on Conceptual Structures, ICCS 2011, Proceedings. Vol. 6828 LNAI. 2011. p. 346-352. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-22688-5_29
    Alhabashneh, Obada ; Iqbal, Rahat ; Shah, Nazaraf ; Amin, Saad ; James, Anne. / Towards the development of an integrated framework for enhancing enterprise search using latent semantic indexing. Conceptual Structures for Discovering Knowledge - 19th International Conference on Conceptual Structures, ICCS 2011, Proceedings. Vol. 6828 LNAI 2011. pp. 346-352 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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