Notice
This item was automatically migrated from a legacy system. It's data has not been checked and might not meet the quality criteria of the present system.
Record link: 
http://hdl.handle.net/20.500.12708/43473
-
Title: 
Implementing Naïve Geography via Qualitative Spatial Relation Queries
-
Citation: 
Fogliaroni, P., & Hobel, H. (2015). Implementing Naïve Geography via Qualitative Spatial Relation Queries. In F. Bacao, M. Y. Santos, & M. Painho (Eds.), AGILE 2015 (p. 6). http://hdl.handle.net/20.500.12708/43473
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Authors: 
Fogliaroni, Paolo 
Hobel, Heidelinde 
-
Organisational Unit: 
E120-02 - Forschungsbereich Geoinformation 
-
Published in: 
AGILE 2015 
-
Date (published): 
2015
-
Event name: 
AGILE 2015 Short Papers 
-
Event date: 
9-Jun-2015 - 12-Jun-2015
-
Event place: 
Lisbon, Portugal, EU
-
Number of Pages: 
6
-
Peer reviewed: 
Yes
-
Keywords: 
Spatial Databases; Naïve geography; Qualitative Spatial Representation and Reasoning; Qualitative Spatial Queries
-
Abstract: 
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.
de
 
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.
en
Research Areas: 
außerhalb der gesamtuniversitären Forschungsschwerpunkte: 100%
-
Science Branch: 
Geodäsie, Vermessungswesen
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

103
checked on Nov 24, 2023

Google ScholarTM

Check