DocumentCode :
2249855
Title :
Deriving sound inference rules for concept diagrams
Author :
Chapman, Peter ; Stapleton, Gem ; Howse, John ; Oliver, Ian
Author_Institution :
Visual Modelling Group, Univ. of Brighton, Brighton, UK
fYear :
2011
fDate :
18-22 Sept. 2011
Firstpage :
87
Lastpage :
94
Abstract :
The process of designing and modelling an ontology can be difficult, especially if the user finds the syntax to be relatively inaccessible. Providing users with graphical syntax with which they can model and visualise their ontology has the potential to be helpful. Previously, we informally introduced concept diagrams for ontology visualisation and modelling. We present a case study comprising: (a) a set of axioms for an ontology, and (b) a set of theorems that follow from the axioms, together with their proofs. The proofs have been constructed so that they are, in our opinion, of an intuitive style. From these proofs, we derive a set of sound inference rules that can be used to formally reason about ontologies following the same intuitive style. This approach to designing inference rules differs from previous efforts where the primary focus has been on obtaining a set of sound and complete inference rules, rather than on intuitiveness.
Keywords :
computer graphics; inference mechanisms; ontologies (artificial intelligence); concept diagrams; graphical syntax; ontology; sound inference rules; Animals; Drives; Ontologies; Semantics; Syntactics; Vehicles; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Languages and Human-Centric Computing (VL/HCC), 2011 IEEE Symposium on
Conference_Location :
Pittsburgh, PA
ISSN :
1943-6092
Print_ISBN :
978-1-4577-1246-3
Type :
conf
DOI :
10.1109/VLHCC.2011.6070384
Filename :
6070384
Link To Document :
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