Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/37003
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dc.contributor.authorDe Sabbata, Stefano-
dc.contributor.authorReichenbacher, T.-
dc.date.accessioned2016-03-09T09:51:35Z-
dc.date.available2016-03-09T09:51:35Z-
dc.date.issued2014-09-
dc.identifier.citationHaosheng Huang, Jürgen Hahn, Christophe Claramunt, Tumasch Reichenbacher, editors, Proceedings of the 1st International Workshop on Context-Awareness in Geographic Information Services (in conjunction with GIScience 2014), 2014, pp. 17-28en
dc.identifier.urihttps://sites.google.com/site/contextawarenessingis/proceedingsen
dc.identifier.urihttp://hdl.handle.net/2381/37003-
dc.description.abstractThis paper presents a detailed account of a computational model for the assessment of geographic relevance, which is based on our previous work on a conceptual model and criteria of geographic relevance. The computational model implements ve criteria, among those we empirically validated in an earlier publication, and it has been tested through a \user-centred" evaluation procedure presented { which is not presented in the current paper. Our aim is to foster the discussion on how to compute and combine scores to better assess the geographic component of situational relevance concepts in mobile information services.en
dc.language.isoenen
dc.rightsCopyright © 2014, the authors.en
dc.titleComputing geographic relevance in mobile information servicesen
dc.typeConference Paperen
dc.description.statusPeer-revieweden
dc.description.versionPost-printen
dc.description.presentedProceedings of the 1st International Workshop on Context-Awareness in Geographic Information Services (in conjunction with GIScience 2014), 2014en
pubs.organisational-group/Organisationen
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERINGen
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Geographyen
Appears in Collections:Conference Papers & Presentations, Dept. of Geography

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