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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Making close to suitable for web search: A comparison of two approaches
Organization Unit
Authors
  • Iris Helming
  • Abraham Bernstein
  • Rolf Grütter
  • Setphan Vock
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Event Title Terra Cognita - Foundations, Technologies and Applications of the Geospatial Web
Event Type workshop
Event Location Bonn, Germany
Event Start Date October 23 - 2011
Event End Date October 27 - 2011
Place of Publication Bonn, germany
Abstract Text In this paper we compare two approaches to model the vague german spatial relation in der Na ?he von (English: ”close to”) to enable its usage in (semantic) web searches. A user wants, for example, to find all relevant documents regarding parks or forestal landscapes close to a city. The problem is that there are no clear metric distance limits for possibly matching places because they are only restricted via the vague natural language expression. And since human perception does not work only in distances we can’t handle the queries simply with metric dis- tances. Our first approach models the meaning of these expressions in description logics using relations of the Region Connection Calculus. A formalism has been developed to find all instances that are potentially perceived as close to. The second approach deals with the idea that ev- erything that can be reached in a reasonable amount of time with a given means of transport (e.g. car) is potentially perceived as close. This ap- proach uses route calculations with a route planner. The first approach has already been evaluated. The second is still under development. But we can already show a correlation between what people consider as close to and time needed to get there.
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Official URL http://iswc2011.semanticweb.org/fileadmin/iswc/Papers/Workshops/Terra/paper9.pdf
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Other Identification Number merlin-id:3880
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