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.
- 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 ScholarDigital Library
- 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 ScholarDigital Library
- 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 Scholar
- W3C. 2017. Geospatial Semantic Web Community Group. https://www.w3.org/community/geosemweb/Google Scholar
Index Terms
- OnToMap: Semantic Community Maps for Knowledge Sharing
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