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A Method for Querying Touristic Information Extracted from the Web

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Book cover Natural Language Processing and Information Systems (NLDB 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10260))

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Abstract

In this paper, we define a method that enables to: (i) exploit ontologies and terminology to represent concepts into specific domains, (ii) extract information from deep web pages, and opinions from social and community networks, (iii) semantically query information by using natural language interface. The method has been applied to query the touristic domain. This use case has shown the effectiveness of the method that can be easily extended to other domains.

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Notes

  1. 1.

    MANTRA Web Extractor (MWE) http://mwe.altiliagroup.com/.

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Author information

Authors and Affiliations

  1. National Research Council (CNR), Via P. Bucci 7/11C, 87036, Rende, CS, Italy

    Ermelinda Oro & Massimo Ruffolo

Authors
  1. Ermelinda Oro
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  2. Massimo Ruffolo
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Corresponding author

Correspondence to Ermelinda Oro .

Editor information

Editors and Affiliations

  1. Erasmus University Rotterdam, Rotterdam, The Netherlands

    Flavius Frasincar

  2. University of Liège , Liège, Belgium

    Ashwin Ittoo

  3. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Le Minh Nguyen

  4. Conservatoire National des Arts et Métiers, Paris, France

    Elisabeth Métais

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Oro, E., Ruffolo, M. (2017). A Method for Querying Touristic Information Extracted from the Web. In: Frasincar, F., Ittoo, A., Nguyen, L., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2017. Lecture Notes in Computer Science(), vol 10260. Springer, Cham. https://doi.org/10.1007/978-3-319-59569-6_25

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  • DOI: https://doi.org/10.1007/978-3-319-59569-6_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59568-9

  • Online ISBN: 978-3-319-59569-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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