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dc.contributor.authorKoo, Len
dc.contributor.authorTrokanas, Nikolaosen
dc.contributor.authorCecelja, Fen
dc.date.accessioned2017-04-28T14:59:11Z
dc.date.available2017-04-28T14:59:11Z
dc.date.issued2017-05-08en
dc.identifier.issn0098-1354
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/263890
dc.description.abstractThis paper introduces a new paradigm for establishing a framework that enables interoperability between process models and datasets using ontology engineering. Semantics are used to model the knowledge in the domain of biorefining including both tacit and explicit knowledge, which supports registration and instantiation of the models and datasets. Semantic algorithms allow the formation of model integration through input/output matching based on semantic relevance between the models and datasets. In addition, partial matching is employed to facilitate flexibility to broaden the horizon to find opportunities in identifying an appropriate model and/or dataset. The proposed algorithm is implemented as a web service and demonstrated using a case study.
dc.description.sponsorshipThe authors wish to acknowledge the financial support by the Marie Curie Initial Training Networks Program, under the RENESENG project (FP7-607415).
dc.language.isoenen
dc.publisherElsevier
dc.subjectontology engineeringen
dc.subjectmodel integrationen
dc.subjectcomputer aided process engineering (CAPE)en
dc.subjectbiorefiningen
dc.titleA semantic framework for enabling model integration for biorefiningen
dc.typeArticle
prism.endingPage231
prism.publicationDate2017en
prism.publicationNameComputers & Chemical Engineeringen
prism.startingPage219
prism.volume100en
dc.identifier.doi10.17863/CAM.9268
dcterms.dateAccepted2017-02-03en
rioxxterms.versionofrecord10.1016/j.compchemeng.2017.02.004en
rioxxterms.versionAMen
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2017-05-08en
rioxxterms.typeJournal Article/Reviewen
cam.issuedOnline2017-02-11en
rioxxterms.freetoread.startdate2018-02-11


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