Ordering: A Reliable Qualitative Information for the Alignment of Sketch and Metric Maps

Sahib Jan, Angela Schwering, Jia Wang, M. Chipofya

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)

Abstract

Sketch maps are externalizations of cognitive maps which are typically distorted, schematized, incomplete, and generalized. Processing spatial information from sketch maps automatically requires reliable formalizations which are not subject to schematization, distortion or other cognitive effects in sketch maps. Based on previous empirical work, the authors identified different sketch aspects such as ordering, topology and orientation to align and integrate spatial information from sketch maps with metric maps qualitatively. This research addresses the question how these qualitative sketch aspects can be formalized for a computational approach for sketch map alignment. In this study, the authors focus on the ordering aspect: ordering of landmarks and street segments along routes and around junctions. The authors first investigate different qualitative representations and propose suitable representations to formalize these aspects. The proposed representations capture qualitative relations between spatial objects in the form of qualitative constraint networks. The authors then evaluate the proposed representations by testing the accuracy of qualitative constraints between sketched objects and their corresponding objects in a metric map. The results of the evaluation show that the proposed representations are suitable for the alignment of spatial objects from sketch maps with metric maps.
Original languageEnglish
Number of pages12
JournalInternational Journal of Cognitive Informatics and Natural Intelligence
Volume8
Issue number1
DOIs
Publication statusPublished - Jan 2014
Externally publishedYes

Keywords

  • ITC-CV

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