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Integration of CAPE Models and Data for the Domain of Biorefining: InterCAPEmodel Ontology Design

Koo, Linsey, Trokanas, Nikolaos, Panteli, Anna, Kalemi, Edlira, Shah, Nilay, Bussemaker, Madeleine and Cecelja, Franjo (2017) Integration of CAPE Models and Data for the Domain of Biorefining: InterCAPEmodel Ontology Design Computer Aided Chemical Engineering, 40. pp. 2341-2346.

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Abstract

design of InterCAPEmodel ontology, which contains a comprehensive description to represent the knowledge of models and data in the biorefining domain, is presented. Primarily, the InterCAPEmodel ontology aims at providing implicit knowledge that reflects process synthesis logic, and explicit knowledge including a complete set of input/output types and the parameters associated with each model and dataset to manage the repository. At present, the InterCAPEmodel ontology supports integration of model and/or data. To fully exploit the potential of providing the description of the model and data to sufficiently support semantic integration, the design of knowledge model is described and the use of ontology that demonstrates its functionality is presented using a case study of a lignocellulosic based biorefining models and data at supply chain level.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
NameEmailORCID
Koo, Linseyminjee.koo@surrey.ac.uk
Trokanas, Nikolaos
Panteli, Anna
Kalemi, Edlirae.kalemi@surrey.ac.uk
Shah, Nilay
Bussemaker, Madeleinem.bussemaker@surrey.ac.uk
Cecelja, FranjoF.Cecelja@surrey.ac.uk
Date : 9 November 2017
DOI : 10.1016/B978-0-444-63965-3.50392-5
Uncontrolled Keywords : InterCAPEmodel Ontology Knowledge Representation Model Integration
Depositing User : Melanie Hughes
Date Deposited : 12 Dec 2018 11:45
Last Modified : 12 Dec 2018 14:49
URI: http://epubs.surrey.ac.uk/id/eprint/850022

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