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Authors: Nadarajan Gayathri ; Cheng-Lin Yang and Yun-Heh Chen-Burger

Affiliation: University of Edinburgh, United Kingdom

Keyword(s): Intelligent Problem-solving, Process Knowledge and Semantic Services, Applications and Case-studies, Domain Analysis and Modelling.

Related Ontology Subjects/Areas/Topics: Applications and Case-studies ; Artificial Intelligence ; Data Engineering ; Domain Analysis and Modeling ; Enterprise Information Systems ; Enterprise Software Technologies ; Information Systems Analysis and Specification ; Intelligent Problem Solving ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Process Knowledge and Semantic Services ; Software Engineering ; Symbolic Systems

Abstract: In this paper, we describe our efforts in using ontological engineering as a backbone technology to define multi-disciplinary knowledge that interact with one another in a complex domain. Multiple ontologies were developed to define these interacting domains. Combined with planning technology, they are used in a three-layered framework that enables the definition, creation and execution of a workflow management system based on dynamic user requirements. We report on how such ontologies play a central role in enabling the workflow system to work consistently and systematically while communicating and collaborating with other project partner systems. We also extend the capability elements of the ontologies with hardware and software performance measures. These metrics are valuable factors in improving the overall system’s performance.

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Paper citation in several formats:
Gayathri, N.; Yang, C. and Chen-Burger, Y. (2013). Multiple Ontologies Enhanced with Performance Capabilities to Define Interacting Domains within a Workflow Framework for Analysing Large Undersea Videos. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD; ISBN 978-989-8565-81-5; ISSN 2184-3228, SciTePress, pages 419-426. DOI: 10.5220/0004643304190426

@conference{keod13,
author={Nadarajan Gayathri. and Cheng{-}Lin Yang. and Yun{-}Heh Chen{-}Burger.},
title={Multiple Ontologies Enhanced with Performance Capabilities to Define Interacting Domains within a Workflow Framework for Analysing Large Undersea Videos},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD},
year={2013},
pages={419-426},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004643304190426},
isbn={978-989-8565-81-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD
TI - Multiple Ontologies Enhanced with Performance Capabilities to Define Interacting Domains within a Workflow Framework for Analysing Large Undersea Videos
SN - 978-989-8565-81-5
IS - 2184-3228
AU - Gayathri, N.
AU - Yang, C.
AU - Chen-Burger, Y.
PY - 2013
SP - 419
EP - 426
DO - 10.5220/0004643304190426
PB - SciTePress

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