Transcepts: Connecting Entity Representations across Conceptual Views on Spatial Information

Publication date

2022

Authors

Top, Eric JacobISNI 0000000512624408
Scheider, SimonORCID 0000-0002-2267-4810ISNI 0000000382824363

Editors

Advisors

Supervisors

Document Type

Part of book
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License

cc_by

Abstract

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 are1considered locations of measurement devices. In this work we adopt a framework of conceptual1spaces 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.

Keywords

Transcept, Spatial Information, Knowledge Representation, Conceptual Space, View, Point Of View, Viewpoint, Object, Event, Network, Field, Relation

Citation

Top, E & Scheider, S 2022, Transcepts : Connecting Entity Representations across Conceptual Views on Spatial Information. in Proceedings of the 15th International Conference on Spatial Information Theory (COSIT 2022). LIPIcs, Schloss Dagstuhl – Leibniz-Zentrum fuer Informatik, pp. 1-7. https://doi.org/10.4230/LIPIcs.COSIT.2022.19