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A semantic framework for enabling model integration for biorefining

Koo, L, Trokanas, N and Cecelja, Franjo (2017) A semantic framework for enabling model integration for biorefining Computers and Chemical Engineering, 100. pp. 219-231.

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Abstract

This 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.

Item Type: Article
Subjects : Chemical & Process Engineering
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
NameEmailORCID
Koo, LUNSPECIFIEDUNSPECIFIED
Trokanas, NUNSPECIFIEDUNSPECIFIED
Cecelja, FranjoF.Cecelja@surrey.ac.ukUNSPECIFIED
Date : 11 February 2017
Identification Number : 10.1016/j.compchemeng.2017.02.004
Copyright Disclaimer : © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords : Ontology engineering, Model Integration, Computer Aided Process Engineering (CAPE), Biorefining
Depositing User : Symplectic Elements
Date Deposited : 15 Feb 2017 18:30
Last Modified : 07 Jul 2017 08:25
URI: http://epubs.surrey.ac.uk/id/eprint/813562

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