%0 Conference Proceedings
%T Ontology-Based Spatial Pattern Recognition in Diagrams
%+ University of South Africa (UNISA)
%+ University of Pretoria [South Africa]
%+ Centre for Applied Internet Research (CAIR)
%+ Council for Scientific and Industrial Research [Pretoria] (CSIR)
%A Thomas, Anitta
%A Gerber, Aurona, J.
%A Merwe, Alta, van Der
%Z Part 1: Social Media - Games - Ontologies
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
%C Rhodes, Greece
%Y Lazaros Iliadis
%Y Ilias Maglogiannis
%Y Vassilis Plagianakos
%I Springer International Publishing
%3 Artificial Intelligence Applications and Innovations
%V AICT-519
%P 61-72
%8 2018-05-25
%D 2018
%R 10.1007/978-3-319-92007-8_6
%K Spatial patterns
%K Diagrams
%K Ontology
%K Ontology reasoner
%K OWL
%K UML class diagrams
%K SVG
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 12
%Z WG 12.5
%2 https://inria.hal.science/hal-01821059/document
%2 https://inria.hal.science/hal-01821059/file/467708_1_En_6_Chapter.pdf
%L hal-01821059
%U https://inria.hal.science/hal-01821059
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5
%~ IFIP-AICT-519