GeoSR: Geographically explore semantic relations in world knowledge

Brent Hecht, Martin Raubal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations


Methods to determine the semantic relatedness (SR) value between two lexically expressed entities abound in the field of natural language processing (NLP). The goal of such efforts is to identify a single measure that summarizes the number and strength of the relationships between the two entities. In this paper, we present GeoSR, the first adaptation of SR methods to the context of geographic data exploration. By combining the first use of a knowledge repository structure that is replete with non-classical relations, a new means of explaining those relations to users, and the novel application of SR measures to a geographic reference system, GeoSR allows users to geographically navigate and investigate the world knowledge encoded in Wikipedia. There are numerous visualization and interaction paradigms possible with GeoSR; we present one implementation as a proof-of-concept and discuss others. Although, Wikipedia is used as the knowledge repository for our implementation, GeoSR will also work with any knowledge repository having a similar set of properties.

Original languageEnglish (US)
Title of host publicationThe European Information Society
Subtitle of host publicationTaking Geoinformation Science One Step Further
PublisherKluwer Academic Publishers
Number of pages19
ISBN (Print)9783540789451
StatePublished - 2008
Event11th AGILE International Conference on Geographic Information Science, AGILE 2008 - Girona, Spain
Duration: May 5 2008May 8 2008

Publication series

NameLecture Notes in Geoinformation and Cartography
ISSN (Print)1863-2351


Other11th AGILE International Conference on Geographic Information Science, AGILE 2008


  • GeoSR
  • Geographic reference system
  • Natural language processing
  • Semantic relatedness
  • Wikipedia

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Earth-Surface Processes
  • Computers in Earth Sciences


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