Title :
Parameterized Spatial SQL Translation for Geographic Question Answering
Author_Institution :
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
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;
Conference_Titel :
Semantic Computing (ICSC), 2014 IEEE International Conference on
Conference_Location :
Newport Beach, CA
Print_ISBN :
978-1-4799-4002-8
DOI :
10.1109/ICSC.2014.44