Ontology-based spatial pattern recognition in diagrams
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Date
Authors
Thomas, Anitta
Gerber, Aurona Jacoba
Van der Merwe, Alta
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
Diagrams are widely used in our day to day communication. A knowledge of the spatial patterns used in diagrams is essential to read and understand them. In the context of diagrams, spatial patterns mean accepted spatial arrangements of graphical and textual elements used to represent diagram-specific concepts. In order to assist with the automated understanding of diagrams by computer applications, this paper presents an ontology-based approach to recognise diagram-specific concepts from the spatial patterns in diagrams. Specifically, relevant spatial patterns of diagrams are encoded in an ontology, and the automated instance classification feature of the ontology reasoners is utilised to map spatial patterns to diagram-specific concepts depicted in a diagram. A prototype of this approach to support automated recognition of UML and domain concepts from class diagrams and its performance are also discussed in this paper. This paper concludes with a reflection of the strengths and limitations of the proposed approach.
Description
Keywords
Spatial patterns, Diagrams, Ontology, Ontology reasoner, Scalable vector graphics (SVG), Web ontology language (OWL), Unified modelling language (UML), UML class diagrams, Pattern recognition, Spatial arrangement, Instance classification, Domain concepts, Automated recognition, Graphic methods, Automation, Artificial intelligence (AI)
Sustainable Development Goals
Citation
Thomas A., Gerber A.J., van der Merwe A. (2018) Ontology-Based Spatial Pattern Recognition in Diagrams. In: Iliadis L., Maglogiannis I., Plagianakos V. (eds) Artificial Intelligence Applications and Innovations. AIAI 2018. IFIP Advances in Information and Communication Technology, vol 519. Springer, Cham.
