Transcepts: Connecting Entity Representations Across Conceptual Views on Spatial Information (Short Paper)

Authors Eric J. Top , Simon Scheider

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Author Details

Eric J. Top
  • Department of Human Geography and Spatial Planning, Utrecht University, The Netherlands
Simon Scheider
  • Department of Human Geography and Planning, Utrecht University, The Netherlands

Cite AsGet BibTex

Eric J. Top and Simon Scheider. Transcepts: Connecting Entity Representations Across Conceptual Views on Spatial Information (Short Paper). In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 19:1-19:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


Analysts interpret geographic and other spatial data to check the validity of methods in reaching an analytical goal. However, the meaning of data is elusive. The same data may constitute one concept in one view and another concept in another. For example, the same set of air pollution points may be regarded as field values if they are considered pollution measurements and objects if they are considered locations of measurement devices. In this work we adopt a framework of conceptual spaces and viewpoints and show how entity representations in one semantic interpretation may be related to entity representations in others in terms of what we call transcepts. A transcept captures which things represent the same entity. We define and use transcepts in the framework to explain how different views of geographic data may relate to one another.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Knowledge representation and reasoning
  • Computing methodologies → Spatial and physical reasoning
  • Transcept
  • Spatial Information
  • Knowledge Representation
  • Conceptual Space
  • View
  • Point Of View
  • Viewpoint
  • Object
  • Event
  • Network
  • Field
  • Relation


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