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Ontology Based Online Tourist Assistant

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Book cover Artificial Intelligence (SLAAI-ICAI 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 890))

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Abstract

The services of travel agents have been widely replaced by online travel websites with the advent of Web 2.0. tripadvisor, a travel and restaurant website is one of the most popular websites used by tourists to obtain information about tourist attractions. However, majority of the information are presented as user reviews. This will result in tourists having to manually search through user reviews to find the needed information which is a time consuming and tedious task. This can be eliminated by the introduction of an online tourist assistant. We present an online tourist assistant agent, that allows tourists to obtain general information about a travel destination. The user can interact by asking questions in a textual format. The semantics of the question is analyzed and an answer is generated by querying the ontology. The ontology is populated using the data and reviews obtained from the tripadvisor website.

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Authors and Affiliations

  1. Faculty of Information Technology, University of Moratuwa, Moratuwa, Sri Lanka

    Pramodya Mendis, Sachini Siriwardene, Ruwini Wijesiri & Subha Fernando

  2. Codegen International Private Limited, Colombo, Sri Lanka

    Upali Kohomban

Authors
  1. Pramodya Mendis
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  2. Sachini Siriwardene
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  3. Ruwini Wijesiri
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  4. Upali Kohomban
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  5. Subha Fernando
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Corresponding authors

Correspondence to Pramodya Mendis , Sachini Siriwardene , Ruwini Wijesiri , Upali Kohomban or Subha Fernando .

Editor information

Editors and Affiliations

  1. Karunya University, Coimbatore, India

    Jude Hemanth

  2. University of Moratuwa, Moratuwa, Sri Lanka

    Thushari Silva

  3. University of Moratuwa, Moratuwa, Sri Lanka

    Asoka Karunananda

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

Mendis, P., Siriwardene, S., Wijesiri, R., Kohomban, U., Fernando, S. (2019). Ontology Based Online Tourist Assistant. In: Hemanth, J., Silva, T., Karunananda, A. (eds) Artificial Intelligence. SLAAI-ICAI 2018. Communications in Computer and Information Science, vol 890. Springer, Singapore. https://doi.org/10.1007/978-981-13-9129-3_12

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  • DOI: https://doi.org/10.1007/978-981-13-9129-3_12

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9128-6

  • Online ISBN: 978-981-13-9129-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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