DocumentCode :
3564713
Title :
Ontology Modelling Methodology for Temporal and Interdependent Applications
Author :
Isiaq, Sakirulai ; Osman, Taha
Author_Institution :
Dept. of Comput. & Inf. Technol., Nottingham Trent Univ., Nottingham, UK
fYear :
2014
Firstpage :
434
Lastpage :
439
Abstract :
The increasing adoption of Semantic Web technology by several classes of applications in recent years, has made ontology engineering a crucial part of application development. Nowadays, the abundant accessibility of interdependent information from multiple resources and representing various fields such as health, transport, and banking etc., further evidence the growing need for utilising ontology for the development of Web applications. While there have been several advances in the adoption of the ontology for application development, less emphasis is being made on the modelling methodologies for representing modern-day application that are characterised by the temporal nature of the data they process, which is captured from multiple sources. Taking into account the benefits of a methodology in the system development, we propose a novel methodology for modelling ontologies representing Context-Aware Temporal and Interdependent Systems (CATIS). CATIS is an ontology development methodology for modelling temporal interdependent applications in order to achieve the desired results when modelling sophisticated applications with temporal and interdependent attributes to suit today´s application requirements.
Keywords :
ontologies (artificial intelligence); semantic Web; CATIS system; Web application development; context-aware temporal and interdependent system; interdependent information accessibility; ontology engineering; ontology modelling methodology; semantic Web technology; temporal interdependent applications; Cognition; Computational modeling; Context; Context modeling; Ontologies; Semantic Web; dynamic context; ontology modelling methodology; semantic knowledgebase; supplementary reasoning; temporal and Interdependent knowledge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2014 UKSim-AMSS 16th International Conference on
Print_ISBN :
978-1-4799-4923-6
Type :
conf
DOI :
10.1109/UKSim.2014.61
Filename :
7046105
Link To Document :
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