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2017 Volume 32
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RESEARCH ARTICLE   Open Access    

Emerging approaches in literature-based discovery: techniques and performance review

  • 1.

    Sarawak

  • 2.

    School of Business, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway

  • 3.

    School of Information Technology, Monash University Malaysia, Jalan Lagoon Selatan

More Information
  • Abstract: Literature-based discovery systems aim at discovering valuable latent connections between previously disparate research areas. This is achieved by analyzing the contents of their respective literatures with the help of various intelligent computational techniques. In this paper, we review the progress of literature-based discovery research, focusing on understanding their technical features and evaluating their performance. The present literature-based discovery techniques can be divided into two general approaches: the traditional approach and the emerging approach. The traditional approach, which dominate the current research landscape, comprises mainly of techniques that rely on utilizing lexical statistics, knowledge-based and visualization methods in order to address literature-based discovery problems. On the other hand, we have also observed the births of new trends and unprecedented paradigm shifts among the recently emerging literature-based discovery approach. These trends are likely to shape the future trajectory of the next generation literature-based discovery systems.
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    Yakub Sebastian, Eu-Gene Siew, Sylvester O. Orimaye. 2017. Emerging approaches in literature-based discovery: techniques and performance review. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000042
    Yakub Sebastian, Eu-Gene Siew, Sylvester O. Orimaye. 2017. Emerging approaches in literature-based discovery: techniques and performance review. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000042
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RESEARCH ARTICLE   Open Access    

Emerging approaches in literature-based discovery: techniques and performance review

  • 1.

    Sarawak

  • 2.

    School of Business, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway

  • 3.

    School of Information Technology, Monash University Malaysia, Jalan Lagoon Selatan

  • Published online: 16 May 2017
The Knowledge Engineering Review  32,  2017, 32(1)  |  Cite this article

Abstract: Abstract: Literature-based discovery systems aim at discovering valuable latent connections between previously disparate research areas. This is achieved by analyzing the contents of their respective literatures with the help of various intelligent computational techniques. In this paper, we review the progress of literature-based discovery research, focusing on understanding their technical features and evaluating their performance. The present literature-based discovery techniques can be divided into two general approaches: the traditional approach and the emerging approach. The traditional approach, which dominate the current research landscape, comprises mainly of techniques that rely on utilizing lexical statistics, knowledge-based and visualization methods in order to address literature-based discovery problems. On the other hand, we have also observed the births of new trends and unprecedented paradigm shifts among the recently emerging literature-based discovery approach. These trends are likely to shape the future trajectory of the next generation literature-based discovery systems.

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    Acknowledgments

    • The first author would like to thank the School of Information Technology, Monash University Malaysia for supporting this research through the Monash Higher Degree Research Scholarship. The authors would also like to thank the two anonymous reviewers and the editor for providing valuable feedback on the initial manuscript of this paper.

    • http://string-db.org/

    • http://www.omim.org/

    • N-gram is the continuous n-term orn-word sequence in a text.

    • Stemmed words are words whose inflections have been removed by a stemming algorithm so that only their base or root forms are retained. The goal is to reduce level of noise in text. Refer to http://nlp.stanford.edu/IR-book/html/htmledition/stemming-and-lemmatization-1.html for more details.

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    • http://string-db.org/

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    • http://thomsonreuters.com/en/products-services/scholarly-scientific-research/scholarly-search-and-discovery/web-of-science.html

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    • http://semrep.nlm.nih.gov/

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    • http://www.ncbi.nlm.nih.gov/pubmed

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    • © Cambridge University Press, 2017 2017Cambridge University Press
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    Cite this article
    Yakub Sebastian, Eu-Gene Siew, Sylvester O. Orimaye. 2017. Emerging approaches in literature-based discovery: techniques and performance review. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000042
    Yakub Sebastian, Eu-Gene Siew, Sylvester O. Orimaye. 2017. Emerging approaches in literature-based discovery: techniques and performance review. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000042
    shu

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