Intuitive modelling of place name regions for spatial information retrieval

Thomas Vögele, Christoph Schlieder, Ubbo E Visser

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Reasoning about spatial relevance is important for intelligent spatial information retrieval. In heterogeneous and distributed systems like the Semantic Web, spatial reasoning has to be based on light-weight, interoperable and easy-to-use spatial metadata. In this paper we present an approach to an intuitive and user-friendly creation and application of spatial metadata that are used for spatial relevance reasoning. The metadata are based on discrete approximations of place name regions. Based on knowledge about cognitive aspects of preferred spatial models, our approach allows for the representation and intuitive modelling of indeterminate regions in addition to regions with well-known boundaries.

Original languageEnglish (US)
Pages (from-to)239-252
Number of pages14
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2825
StatePublished - 2003
Externally publishedYes

Fingerprint

Information Storage and Retrieval
Spatial Information
Metadata
Information retrieval
Information Retrieval
Names
Intuitive
Modeling
Computer Communication Networks
Reasoning
Semantic Web
Spatial Reasoning
Semantics
Discrete Approximation
Heterogeneous Systems
Spatial Model
Weights and Measures
Distributed Systems
Relevance

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

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