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ONTOLOGICAL MODELING IN CLOUD SERVICES - About Information Sharing to Support Service Composition

Topics: Applications and Case-Studies; Context Analysis and Modeling; Decision Support Systems; Domain Analysis and Modeling; Information Integration; Knowledge Representation; Ontology Engineering; Ontology Matching and Alignment; Ontology Sharing and Reuse

Authors: Martín Serrano ; Lei Shi ; Mícheál Ófoghlú and William Donnelly

Affiliation: Waterford Institute of Technology – WIT, Ireland

ISBN: 978-989-8425-80-5

ISSN: 2184-3228

Keyword(s): Information, Modelling, Interoperability, Linked Data, Knowledge Engineering, Semantic Annotation, Ontologies, Ontology Engineering.

Related Ontology Subjects/Areas/Topics: Applications and Case-studies ; Artificial Intelligence ; Collaboration and e-Services ; Context ; Data Engineering ; Decision Support Systems ; Domain Analysis and Modeling ; e-Business ; Enterprise Information Systems ; Information Integration ; Information Systems Analysis and Specification ; Integration/Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Ontology Matching and Alignment ; Ontology Sharing and Reuse ; Paradigm Trends ; Software Engineering ; Symbolic Systems

Abstract: This paper presents a study about information sharing and domain ontological modeling within the framework of cloud computing services. We have investigated common practices on service oriented architectures design and knowledge engineering to support the composition of services in the cloud. Research results about information sharing and information modeling by using semantic annotations are discussed. Particularly we present how we use ontological models to represent management information and service lifecycle operations and thus control both system management operations and services running onto cloud infrastructure. We support the idea of look information sharing as a mechanism to facilitate the composition of services, thus ontology-based information modelling is used for this purpose. It enables information exchange by using interoperable data framework for different applications running on infrastructure and application layers. Ontologies support this information sharing appro ach by formalizing the necessary data needs to be shared or exchanged. An introductory application scenario is depicted. We discuss what implications this approach imposes on architectural design terms and also how virtual infrastructures and cloud-based systems can benefit from this ontological modelling approach. (More)

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Paper citation in several formats:
Serrano, M.; Shi, L.; Ófoghlú, M. and Donnelly, W. (2011). ONTOLOGICAL MODELING IN CLOUD SERVICES - About Information Sharing to Support Service Composition.In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, ISSN 2184-3228, pages 328-335. DOI: 10.5220/0003693103280335

@conference{keod11,
author={Martín Serrano. and Lei Shi. and Mícheál Ófoghlú. and William Donnelly.},
title={ONTOLOGICAL MODELING IN CLOUD SERVICES - About Information Sharing to Support Service Composition},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},
year={2011},
pages={328-335},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003693103280335},
isbn={978-989-8425-80-5},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
TI - ONTOLOGICAL MODELING IN CLOUD SERVICES - About Information Sharing to Support Service Composition
SN - 978-989-8425-80-5
AU - Serrano, M.
AU - Shi, L.
AU - Ófoghlú, M.
AU - Donnelly, W.
PY - 2011
SP - 328
EP - 335
DO - 10.5220/0003693103280335

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