Ontology-based spatial pattern recognition in diagrams

dc.contributor.authorThomas, Anitta
dc.contributor.authorGerber, Aurona Jacoba
dc.contributor.authorVan der Merwe, Alta
dc.date.accessioned2018-08-07T11:24:43Z
dc.date.issued2018-05
dc.description.abstractDiagrams 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.en_ZA
dc.description.departmentInformaticsen_ZA
dc.description.embargo2019-05-22
dc.description.librarianhj2018en_ZA
dc.description.urihttps://link.springer.com/bookseries/6102en_ZA
dc.identifier.citationThomas 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.en_ZA
dc.identifier.issn1868-4238 (print)
dc.identifier.issn1868-422X (online)
dc.identifier.other10.1007/978-3-319-92007-8_6
dc.identifier.urihttp://hdl.handle.net/2263/66121
dc.language.isoenen_ZA
dc.publisherSpringeren_ZA
dc.rights© IFIP International Federation for Information Processing 2018. Published by Springer International Publishing AG 2018. All Rights Reserved. The original publication is available at : https://link.springer.com/bookseries/6102.en_ZA
dc.subjectSpatial patternsen_ZA
dc.subjectDiagramsen_ZA
dc.subjectOntologyen_ZA
dc.subjectOntology reasoneren_ZA
dc.subjectScalable vector graphics (SVG)en_ZA
dc.subjectWeb ontology language (OWL)en_ZA
dc.subjectUnified modelling language (UML)en_ZA
dc.subjectUML class diagramsen_ZA
dc.subjectPattern recognitionen_ZA
dc.subjectSpatial arrangementen_ZA
dc.subjectInstance classificationen_ZA
dc.subjectDomain conceptsen_ZA
dc.subjectAutomated recognitionen_ZA
dc.subjectGraphic methodsen_ZA
dc.subjectAutomationen_ZA
dc.subjectArtificial intelligence (AI)en_ZA
dc.titleOntology-based spatial pattern recognition in diagramsen_ZA
dc.typePostprint Articleen_ZA

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