Title :
A framework and implementation for qualitative geographic information retrieval
Author :
Lei Liu ; Yong Gao ; Xing Lin ; Xiao Guo ; Haoran Li
Author_Institution :
Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
Abstract :
Qualitative geographic information retrieval (QGIR) is proposed in this paper. It is semantic matching oriented and based on the qualitative representation. Qualitative reasoning is used to get the relevance between documents and queries. Compared to the traditional geographic information retrieval (GIR), QGIR uses qualitative representation for both themes and place names. Semantic spatial relationships are taken into account. The qualitative representation is closer to human spatial recognition and can handle natural language better. A system is built to verify the qualitative theory and to compare the qualitative method with traditional GIR. The experiment in the mineral filed shows that QGIR can have better searching results and better fulfill people´s geographic information retrieval request.
Keywords :
data structures; document handling; geographic information systems; pattern matching; query processing; GIR; QGIR; geographic information retrieval request; human spatial recognition; natural language; qualitative geographic information retrieval; qualitative reasoning; qualitative theory; semantic matching; semantic spatial relationships; Cognition; Data mining; Geometry; Information retrieval; Knowledge based systems; Ontologies; Semantics; qualitative geographic information retrieval; qualitative representation; spatial semantic;
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location :
Kaifeng
DOI :
10.1109/Geoinformatics.2013.6626034