Semantic composition of business processes using Armstrong's Axioms

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dc.authoridErtugrul, Duygu Celik -- 0000-0003-1380-705X
dc.contributor.authorÇelik, Duygu
dc.contributor.authorElçi, Atilla
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:15:48Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:15:48Z
dc.date.issued2014
dc.departmentMühendislik Fakültesi
dc.description.abstractLack of sufficient semantic description in the content of Web services makes it difficult to find and compose suitable Web services during analysis, search, and matching processes. Semantic Web Services are Web services that have been enhanced with formal semantic description, which provides well-defined meaning. Due to insertion of semantics, meeting user demands will be made possible through logical deductions achieving resolutions automatically. We have developed an inference-based semantic business process composition agent (SCA) that employs inference techniques. The semantic composition agent system is responsible for the synthesis of new services from existing ones in a semi-automatic fashion. SCA System composes available Web Ontology Language for Web services atomic processes utilizing Revised Armstrong's Axioms (RAAs) in inferring functional dependencies. RAAs are embedded in the knowledge base ontologies of SCA System. Experiments show that the proposed SCA System produces process sequences as a composition plan that satisfies user's requirement for a complex task. The novelty of the SCA System is that for the first time Armstrong's Axioms are revised and used for semantic-based planning and inferencing of Web services.
dc.description.sponsorshipEastern Mediterranean University Scientific Research Project Provision of SWSs through an Intelligent Semantic Web Service Finder [BAP-A-07-20]
dc.description.sponsorshipThis work was supported in full by the Eastern Mediterranean University Scientific Research Project BAP-A-07-20 Provision of SWSs through an Intelligent Semantic Web Service Finder.
dc.identifier.doi10.1017/S0269888914000083
dc.identifier.endpage264en_US
dc.identifier.issn0269-8889
dc.identifier.issn1469-8005
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage248en_US
dc.identifier.urihttps://doi.org/10.1017/S0269888914000083
dc.identifier.urihttps://hdl.handle.net/20.500.12451/4469
dc.identifier.volume29en_US
dc.identifier.wosWOS:000339566000009
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherCambridge University Press
dc.relation.ispartofKnowledge Engineering Review
dc.relation.publicationcategoryMakale - Ulusalarası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleSemantic composition of business processes using Armstrong's Axioms
dc.typeReview Article

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