DocumentCode :
3540252
Title :
Condensing the semantic (ontological concepts) of modeling diagrams: Is it possible?
Author :
Kayed, Ahmad ; Innab, Nisreen Mohammad ; Hirzallah, Nael
Author_Institution :
Comput. Sci., Fahad Bin Sultan Univ., Tabuk, Saudi Arabia
fYear :
2009
fDate :
4-6 Aug. 2009
Firstpage :
429
Lastpage :
432
Abstract :
Ontology can make modeling diagrams more efficient, adaptive, and smarter by explicitly specifying their concepts. This paper is an effort to extract concepts for modeling diagrams and condense them into small numbers. This paper claims that many modeling diagrams (56 diagrams) shared a small number of concepts. An experiment has been conducted to extract concepts for 56 diagrams. The result shows that a small number of concepts are frequently used to describe these diagrams. Condensing the semantic of these diagrams into those concepts and standardizing their definitions will achieve a common understanding for any modeling diagrams.
Keywords :
ontologies (artificial intelligence); semantic networks; modeling diagrams; ontological concepts; semantic condensing; Application software; Business; Data mining; Information systems; Ontologies; Programming; Scattering; Software engineering; Software systems; Vocabulary; Ontology; concept; modeling diagrams;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the
Conference_Location :
London
Print_ISBN :
978-1-4244-4456-4
Electronic_ISBN :
978-1-4244-4457-1
Type :
conf
DOI :
10.1109/ICADIWT.2009.5273981
Filename :
5273981
Link To Document :
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