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dc.contributor.authorKim, Junchul
dc.contributor.authorVasardani, Maria
dc.contributor.authorWinter, Stephan
dc.date2017-05-01
dc.date.accessioned2018-01-08T08:13:05Z
dc.date.available2018-01-08T08:13:05Z
dc.date.issued2017
dc.identifier.issn1610-1987
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/11048
dc.description.abstractLarge corpora of place descriptions provide abundant human spatial knowledge, different from the geometry-based information stored in current GIS. These place descriptions, used in everyday communication, frequently refer to landmarks. This paper suggests a model for extracting landmarks from web-harvested place descriptions, considering the landmark’s cognitive significance. The model allows landmarks to be extracted according to different contexts via web harvesting and text classification methods. In this work, an implementation of our approach is used to extract context-based landmarks for a target area—Melbourne in Australia.
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 31, No. 2
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectHuman spatial knowledge
dc.subjectLandmark extraction
dc.subjectSpatial information
dc.subjectTextual descriptions
dc.subjectWeb harvesting
dc.titleLandmark Extraction from Web-Harvested Place Descriptions
dc.typeText/Journal Article
mci.reference.pages151-159
gi.identifier.doi10.1007/s13218-016-0467-3


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