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    Information retrieval with semantic annotation

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    FP308.pdf (566.5Kb)
    Date
    2019-07
    Author
    Viltres Sala, Hubert
    Rodríguez Leyva, Paúl
    Febles Rodriguez, Juan Pedro
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    Abstract
    The processing of information with semantic annotation allows to identify the intention of search of the user and to adjust the result according to the context of the information. The present research proposes a model for the retrieval of information with semantic annotation that allows to help the user to retrieve the most relevant information among all the information available on the web. In the model, three components (Crawler-Indexing, Processing and Presentation) are developed that allow identifying the need for user information through the processing, selection and subsequent publication of the retrieved information. The crawling and indexing component allows the identification of available websites to extract information and perform semantic annotation by applying different information processing techniques. The processing component analyzes the user's preferences and processes the query performed to calculate the similarity of the indexed information. Subsequently the results are sorted according to the relevance to show in the Presentation component a quantity of information that can be assimilated by the users. For the validation of the proposal we used the metrics of precision and exhaustiveness that allowed to demonstrate the quality, relevance and relevance of the information retrieval with semantic annotation.
    URI
    http://dx.doi.org/10.18687/LACCEI2019.1.1.308
    http://axces.info/handle/10.18687/20190101_308
    URI Others
    http://laccei.org/LACCEI2019-MontegoBay/meta/FP308.html
    Copyright
    https://laccei.org/blog/copyright-laccei-papers/
    Track
    Information Technology, Technology Management, Ethics, Technology and Society
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    • 2019 LACCEI - Montego Bay, Jamaica

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