DocumentCode
166296
Title
Analysing cohesion and coupling for modular ontologies
Author
Sukalikar, Shriya ; Kumar, Sudhakar ; Baliyan, Niyati
Author_Institution
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol. Roorkee, Haridwar, India
fYear
2014
fDate
24-27 Sept. 2014
Firstpage
2063
Lastpage
2066
Abstract
Ontologies are an essential component of the Semantic Web and in recent times, the significance of modular ontologies is largely increasing due to their superiority over monolithic ontologies. Out of the multiple modularization choices available, the one which guarantees best system design and performance should be applied. Some attributes of modular structure such as cohesion and coupling, determine the goodness of modularization technique applied. Few works are available in the field of assessing modular ontology in terms of cohesion and coupling. Most of such works are either syntax based or do not handle the structure of the ontological hierarchy during evaluation of cohesion and coupling. We propose an approach for analysing cohesion and coupling of modular ontology, which may be used in order to formulate measures for the same. The extent of dependence among the components of an ontology is analysed for quantification, which acknowledges subtle differences among relationship types. Moreover, our approach accounts for structural dependencies in ontology, thus making it a comprehensive model.
Keywords
ontologies (artificial intelligence); semantic Web; cohesion analysis; coupling analysis; modular ontologies; modular structure; modularization technique; monolithic ontologies; ontological hierarchy; relationship types; semantic Web; structural dependencies; Couplings; Knowledge based systems; Measurement; Ontologies; Semantic Web; Semantics; Syntactics; cohesion; coupling; modular ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
Conference_Location
New Delhi
Print_ISBN
978-1-4799-3078-4
Type
conf
DOI
10.1109/ICACCI.2014.6968526
Filename
6968526
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