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P. Fogliaroni, H. Hobel:
"Implementing Naïve Geography via Qualitative Spatial Relation Queries";
Talk: AGILE 2015 Short Papers, Lisbon, Portugal; 2015-06-09 - 2015-06-12; in: "AGILE 2015", F. Bacao, M. Santos, M. Painho (ed.); (2015), 6 pages.

Making Geographic Information Systems (GISs) "intelligent" is a fascinating idea that has challenged the GIScience community for decades and that, over the years, has been tackled from slightly different perspectives. In this paper we discuss the case of equipping GISs with the right tools to understand and address queries posed in a natural fashion from a human being. We discuss how this can be supported via a general type of spatial queries named Qualitative Spatial Relation Queries (QSRQ) that take on qualitative spatial relations formally defined in qualitative spatial calculi. After intuitively defining QSRQs, we categorize them and discuss the complexity of each category. Finally, we outline a processing framework to enable QSRQs in GISs.

Making Geographic Information Systems (GISs) "intelligent" is a fascinating idea that has challenged the GIScience community for decades and that, over the years, has been tackled from slightly different perspectives. In this paper we discuss the case of equipping GISs with the right tools to understand and address queries posed in a natural fashion from a human being. We discuss how this can be supported via a general type of spatial queries named Qualitative Spatial Relation Queries (QSRQ) that take on qualitative spatial relations formally defined in qualitative spatial calculi. After intuitively defining QSRQs, we categorize them and discuss the complexity of each category. Finally, we outline a processing framework to enable QSRQs in GISs.

Naïve geography, Qualitative Spatial Representation and Reasoning, Spatial Databases, Qualitative Spatial Queries

http://publik.tuwien.ac.at/files/PubDat_240524.pdf