DocumentCode :
529746
Title :
Contextual spatial relations based spatial modelling of vague place names
Author :
Zhang, Xueying ; Zhu, Shaonan
Author_Institution :
Key Lab. of Virtual Geographic Environ., Minist. of Educ., Nanjing, China
Volume :
1
fYear :
2010
fDate :
28-31 Aug. 2010
Firstpage :
23
Lastpage :
26
Abstract :
Place names have been one of the most commonly-preferred georeferencing systems used to communicate geographically-specific information in our daily lives. Gazetteers as specialized geographical information systems bridge the gap between textual place names and geospatial locations. Most place names in gazetteers are thought of as administrative regions and described with official names. However, a place name could also be a thematic region, a functional region or a cognitive region. There is hence a need to enrich gazetteers with such vague place names and extend their applications. Geospatial location and boundary of vague place names can be induced based on the descriptions of its referred geographical entities and spatial relations in context. Here an approach is proposed to approximately model vague place names based on contextual spatial relations. Computational models for qualitative spatial relations are identified to model single spatial relations and a layer-overlapping method is presented to compute composed spatial relations. A few typical examples further explore the detailed processing tasks and performance. Finally, an application case is illustrated and various aspects of the approach are discussed.
Keywords :
cognitive systems; geographic information systems; inference mechanisms; information retrieval; natural language processing; cognitive region; contextual spatial relation; functional region; gazetteer; geographical information system; geographically specific information; geospatial location; layer overlapping method; qualitative spatial relation; spatial modelling; thematic region; vague place name; Cognition; Computational modeling; Computer science; Context modeling; Geospatial analysis; Google; Natural languages; approximate modelling; gazetteer; natural language; place name; spatial relation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
Type :
conf
DOI :
10.1109/IITA-GRS.2010.5603125
Filename :
5603125
Link To Document :
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