Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41672

Anti-Pattern Specification and Correction Recommendations for Semantic Cloud Services

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dc.contributor.author Rekik, Molka
dc.contributor.author Boukadi, Khouloud
dc.contributor.author Gaaloul, Walid
dc.contributor.author Ben-Abdallah, Hanene
dc.date.accessioned 2016-12-29T01:36:14Z
dc.date.available 2016-12-29T01:36:14Z
dc.date.issued 2017-01-04
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41672
dc.description.abstract Given the economic and technological advantages \ they offer, cloud services are increasing being offered by \ several cloud providers. However, the lack of standardized \ descriptions of cloud services hinders their discovery. \ In an effort to standardize cloud service descriptions, \ several works propose to use ontologies. Nevertheless, \ the adoption of any of the proposed ontologies \ calls for an evaluation to show its efficiency in cloud \ service discovery. Indeed, the existing cloud providers \ describe, their similar offered services in different ways. \ Thus, various existing works aim at standardizing the \ representation of cloud computing services by proposing \ ontologies. However, since the existing proposals \ were not evaluated, they might be less adopted and considered. \ Indeed, the ontology evaluation has a direct impact \ on its understandability and reusability. In this paper, \ we propose an evaluation approach to validate our \ proposed Cloud Service Ontology (CSO), to guarantee \ an adequate cloud service discovery. To this end, this \ paper has a three-fold contribution. First, we specify a \ set of patterns and anti-patterns in order to evaluate our \ CSO. Second, we define an anti-pattern detection algorithm \ based on SPARQL queries which provides a set of \ correction recommendations to help ontologists revise \ their ontology. Finally, tests were conducted in relation \ to: (i) the algorithm efficiency and (ii) anti-pattern detection \ of design anomalies as well as taxonomic and \ domain errors within CSO.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Cloud services
dc.subject Description
dc.subject Discovery
dc.subject Evaluation
dc.subject Errors and anomalies detection
dc.subject Correction
dc.subject Patterns
dc.title Anti-Pattern Specification and Correction Recommendations for Semantic Cloud Services
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2017.512
Appears in Collections: Transformation Towards Cloud Computing Minitrack


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