GeoVSM: An integrated retrieval model for geographic information

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

32 Scopus citations


Geographic information exists in multiple forms, such as cartographical maps, images, and texts. Effective retrieval systems for geographic information are currently studied by both geospatial information scientists and library/information scientists. The two groups take quite different approaches, which have rarely been explicitly compared and connected. This paper discusses the advantages and limitations of current geographic information retrieval (GIR) and textual information retrieval (IR) systems in dealing with multimedia geographic information, and proposes a new retrieval model, called GeoVSM (Geographic + Vector Space Model), which integrates coordinatebased geographic indexing with the keyword-based vector space model in representing information space. Document ranking by relevance is supported by document-query similarity measures, taking into account the degree of relevance in both the spatial domain and the thematic domain. To support visual querying and browsing, the GeoVSM model recognizes the fundamental differences in the dimensionality and configuration of geographic space and thematic space, and demands multi-view visual interfaces based on a “world” metaphor and a “desktop” metaphor. As an example of such interfaces, GeoVIBE is presented, which supports a coordinated GeoView and a VibeView for smooth integration of two browsing strategies using geographic clues as well as thematic clues provided by users.

Original languageEnglish (US)
Title of host publicationGeographic Information Science - 2nd International Conference, GIScience 2002, Proceedings
EditorsMax J. Egenhofer, David M. Mark
PublisherSpringer Verlag
Number of pages15
ISBN (Print)9783540442530
StatePublished - 2002
Event2nd International Conference on Geographic Information Science, GIScience 2002 - Boulder, United States
Duration: Sep 25 2002Sep 28 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd International Conference on Geographic Information Science, GIScience 2002
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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