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OnToMap: Semantic Community Maps for Knowledge Sharing

Published:04 July 2017Publication History

ABSTRACT

We present the information retrieval model adopted in the OnToMap Participatory GIS. The model addresses the limitations of keyword-based and category-based search by semantically interpreting the information needs specified in free-text search queries. The model is based on an ontological representation of linguistic and encyclopaedic knowledge, which makes it possible to exploit terms and synonyms occurring in the definitions of concepts to flexibly match the user's and system's terminologies. This feature enables users to query the application using their own vocabulary.

References

  1. L. Ardissono, M. Lucenteforte, N. Mauro, A. Savoca, A. Voghera, and L. Lariccia. 2016. Exploration of Cultural Heritage Information via Textual Search Queries. In MobileHCI '16 Proceedings Adjunct. ACM, 992--1001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. K. Janowicz, S. Scheider, T. Pehle, and G. Ha. 2012. Geospatial Semantics and Linked Spatiotemporal Data -- Past, Present, and Future. Semantic Web - On linked spatiotemporal data and geo-ontologies 3, 4 (2012), 321--332. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. A. Voghera, R. Crivello, L.Ardissono, M. Lucenteforte, A. Savoca, and L. Lariccia. 2016. Production of spatial representations through collaborative mapping. An experiment. In Proc. of INPUT 2016. 356--361.Google ScholarGoogle Scholar
  4. W3C. 2017. Geospatial Semantic Web Community Group. https://www.w3.org/community/geosemweb/Google ScholarGoogle Scholar

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  1. OnToMap: Semantic Community Maps for Knowledge Sharing

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          • Published in

            cover image ACM Conferences
            HT '17: Proceedings of the 28th ACM Conference on Hypertext and Social Media
            July 2017
            336 pages
            ISBN:9781450347082
            DOI:10.1145/3078714

            Copyright © 2017 Owner/Author

            Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 4 July 2017

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            Acceptance Rates

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            September 10 - 13, 2024
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