Towards Duplicate Detection for Situation Awareness Based on Spatio-Temporal Relations

Norbert Baumgartner, Wolfgang Gottesheim, Stefan Mitsch, Werner Retschitzegger, Wieland Schwinger

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Systems supporting situation awareness typically integrate information about a large number of real-world objects anchored in time and space provided by multiple sources. These sources are often characterized by identical, incomplete, and even contradictory information. Because of that, duplicate detection methods are of paramount importance, allowing to explore whether or not information concerns one and the same real-world object. Although many such duplicate detection methods exist, a recent survey revealed that the characteristics of situation awareness—highly dynamic and vague information, which is often available in qualitative form only—are not supported sufficiently well. This paper proposes concepts for qualitative duplicate detection to cope with these key issues of situation awareness based on spatio-temporal relations between objects.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2010)
Number of pages11
Publication statusPublished - 2010

Fields of science

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  • 101027 Dynamical systems
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  • 102 Computer Sciences
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  • 102018 Artificial neural networks
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  • 103029 Statistical physics
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  • 202017 Embedded systems
  • 202035 Robotics
  • 202036 Sensor systems
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  • 202038 Telecommunications

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