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    A robust framework for web information extraction and retrieval

    Alfred, R.; Gan, K. S.; Chin, K. O.; Anthony, Patricia
    Abstract
    The large volume of online and offline information that is available today has overwhelmed users’ efficiency and effectiveness in processing this information in order to extract relevant information. The exponential growth of the volume of Internet information complicates information access. Thus, it is a very time consuming and complex task for user in accessing relevant information. Information retrieval (IR) is a branch of artificial intelligence that tackles the problem of accessing and retrieving relevant information. The aim of IR is to enable the available data source to be queried for relevant information efficiently and effectively. This paper describes a robust information retrieval framework that can be used to retrieve relevant information. The proposed information retrieval framework is designed to assist users in accessing relevant information effectively and efficiently as it handles queries based on user preferences. Each component and module involved in the proposed framework will be explained in terms of functionality and the processes involved.... [Show full abstract]
    Keywords
    information retrieval; information retrieval framework; semantic web
    Fields of Research
    0801 Artificial Intelligence and Image Processing
    Date
    2014-04
    Type
    Journal Article
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    • Department of Informatics and Enabling Technologies [109]
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    A Robust Framework for Web Information Extraction and.pdf
    DOI
    https://doi.org/10.7763/IJMLC.2014.V4.403
    Metadata
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    Copyright © 2008-2015. International Journal of Machine Learning and Computing. All rights reserved.
    Citation
    Alfred, R., Gan, K. S., Chin, K. O. & Anthony, P. (2014). A robust framework for web information extraction and retrieval. International Journal of Machine Learning and Computing, 4(2), 146-150. doi:https://doi.org/10.7763/IJMLC.2014.V4.403
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