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dc.contributor.authorCabrera Bejar, Oscar Jair
dc.contributor.authorFranch Gutiérrez, Javier
dc.contributor.authorMarco Gómez, Jordi
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2017-06-23T06:58:41Z
dc.date.available2019-05-10T00:30:43Z
dc.date.issued2017-05-10
dc.identifier.citationCabrera, O., Franch, X., Marco, J. Ontology-based context modeling in service-oriented computing: A systematic mapping. "Data and knowledge engineering", Juliol 2017, vol. 110. p. 24-53
dc.identifier.issn0169-023X
dc.identifier.urihttp://hdl.handle.net/2117/105746
dc.description.abstractContext: Service-oriented computing and context-aware computing are two consolidated paradigms that are changing the way of providing and consuming software services. Whilst service-oriented computing is based on service-oriented architectures for providing flexible software services, context-aware computing articulates different phases of a context life cycle for changing the behavior of such services. The synergy between both paradigms provides the context to this study. Objective: This study analyzes the current state of the art of context models, specifically: (1) which are these proposals and how are they related; (2) what are their structural characteristics; (3) what context information is the most addressed; and (4) what are their most consolidated definitions. Given their dominance on the field, the study focuses on ontology-based approaches. Method: We conducted a systematic mapping by establishing a review protocol that integrates automatic and manual searches from different sources. We applied a rigorous method to elicit the keywords from the research questions and selection criteria to retrieve the papers to evaluate. Results: Overall, 138 primary studies were selected to answer our research questions. These proposals were studied in depth by analyzing: 1) distribution along time and their relationships; 2) size correlated with the number of classes and levels of the context model, and coverage of the definitions provided as indicator of quality provided; 3) most addressed context information; 4) most consolidated definitions of context information. Conclusions: The contribution of this survey is to make available a unified and consolidated body of knowledge on context for service-oriented computing that could be instantiated and used as starting point in a variety of use cases. This sweeping view on the anatomy of context models may help avoiding the postulation of new proposals not aligned with the current research.
dc.language.isoeng
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject.lcshService-oriented architecture (Computer science)
dc.subject.lcshElectronic data processing -- Distributed processing
dc.subject.otherContext-aware computing
dc.subject.otherContext modeling
dc.subject.otherOntology
dc.subject.otherService-oriented computing
dc.subject.otherSystematic mapping
dc.titleOntology-based context modeling in service-oriented computing: A systematic mapping
dc.typeArticle
dc.subject.lemacArquitectura orientada a serveis (Informàtica)
dc.subject.lemacProcessament distribuït de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.identifier.doi10.1016/j.datak.2017.03.008
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0169023X16301380
dc.rights.accessOpen Access
local.identifier.drac20329501
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/644018/EU/SUpporting evolution and adaptation of PERsonalized Software by Exploiting contextual Data and End-user feedback/SUPERSEDE
local.citation.authorCabrera, O.; Franch, X.; Marco, J.
local.citation.publicationNameData and knowledge engineering


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