DocumentCode
1787401
Title
Parameterized Spatial SQL Translation for Geographic Question Answering
Author
Wei Chen
Author_Institution
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
fYear
2014
fDate
16-18 June 2014
Firstpage
23
Lastpage
27
Abstract
Spatial SQL (structured query language) is a powerful tool for systematically solving geographic problems, however, it has not been widely applied to the problem of geographic question answering. This paper introduces a parameterized approach to translate natural language geographic questions into spatial SQLs. In particular, three types of complexity are introduced and initial solutions are proposed to deal with these complexities. The entire parameterization process is implemented to generate spatial SQL templates for five types of geographic questions. It is suggested that our approach is useful for solving natural geographic problems using spatial functions such as those in a GIS.
Keywords
SQL; geographic information systems; natural language processing; query processing; question answering (information retrieval); visual databases; GIS; geographic information systems; geographic question answering; natural language geographic questions; parameterized approach; parameterized spatial SQL translation; structured query language; Cities and towns; Complexity theory; Geographic information systems; Geometry; Knowledge discovery; Natural languages; Spatial databases; GIS; machine learning; natural language processing; spatial artificial intelligence; spatial ontology; spatial query;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing (ICSC), 2014 IEEE International Conference on
Conference_Location
Newport Beach, CA
Print_ISBN
978-1-4799-4002-8
Type
conf
DOI
10.1109/ICSC.2014.44
Filename
6881997
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