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An agility-oriented and fuzziness-embedded semantic model for collaborative cloud service search, retrieval and recommendation

Fang, Daren; Liu, Xiaodong; Romdhani, Imed; Jamshidi, Pooyan; Pahl, Claus

Authors

Daren Fang

Pooyan Jamshidi

Claus Pahl



Abstract

Cloud computing enables a revolutionary paradigm of consuming ICT services. However, due to the inadequately described service information, users often feel confused while trying to find the optimal services. Although some approaches are proposed to deal with cloud service semantic modelling and recommendation issues, they would only work for certain restricted scenarios in dealing with basic service specifications. Indeed, the missing extent is that most cloud services are "agile" whilst there are many vague service terms and descriptions. This paper proposes an agility-oriented and fuzziness-embedded ontology model, which adopts agility-centric design along with OWL2 (Web Ontology Language) fuzzy extensions. The captured cloud service specifications are maintained in an open and collaborative manner, as the fuzziness in the model accepts rating updates from users on the fly. The model enables comprehensive service specification by capturing cloud concept details and their interactions, even across multiple service categories and abstraction levels. Utilizing the model as a knowledge base, a service recommendation system prototype is developed. Case studies demonstrate that the approach can outperform existing practices by achieving effective service search, retrieval and recommendation outcomes.

Journal Article Type Article
Acceptance Date Sep 19, 2015
Online Publication Date Oct 19, 2015
Publication Date 2016-03
Deposit Date Aug 10, 2015
Publicly Available Date May 15, 2017
Print ISSN 0167-739X
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 56
Pages 11-26
DOI https://doi.org/10.1016/j.future.2015.09.025
Keywords Cloud computing; agility-oriented; fuzziness-embedded ontology model;
Public URL http://researchrepository.napier.ac.uk/id/eprint/8901
Publisher URL http://dx.doi.org/10.1016/j.future.2015.09.025
Contract Date May 15, 2017

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