Open Software Architecture For Process Simulation: The Current Status of CAPE-OPEN Standard

Belaud, Jean‐Pierre; Pons, Michel

doi:10.1016/s1570-7946(02)80169-9

Cited by 28 publications

(16 citation statements)

References 2 publications

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“…The CAPE-OPEN interface specification (Belaud & Pons 2002) is developed as a standard requirement for the unit operation components (such as process unit operation, thermodynamics, and numerical solvers packages) to be compliant with any simulator without modification, compiling, or linking. The standard mainly provides the details for the interface specifications of sequential modular simulators and the granularity of the interface design was restricted to the unit operation level (CAPE-OPEN Project team 2000; van Baten & Pons 2014).…”

Section: Concept Of Model Integrationmentioning

confidence: 99%

A semantic framework for enabling model integration for biorefining

Koo

Trokanas

Cecelja

2017

Computers & Chemical Engineering

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Please cite this article as: Koo, Linsey., Trokanas, Nikolaos., & Cecelja, Franjo., A semantic framework for enabling model integration for biorefining. Computers and Chemical Engineering http://dx.doi.org/10.1016/j.compchemeng.2017.02.004 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. A semantic framework for enabling model integration for biorefining Highlights We propose a semantic approach for establishing the interoperability between models and data.  Introduction of input/output matching as a mean of integration based on the structure of domain ontology.  The algorithm is implemented as a service.  Demonstration of performance is achieved using a real-life biorefining modelling scenario. 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.

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Section: Concept Of Model Integrationmentioning

confidence: 99%

A semantic framework for enabling model integration for biorefining

Koo

Trokanas

Cecelja

2017

Computers & Chemical Engineering

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“…More recently, Bayer and Marquardt (2004) discussed many open issues of information modelling and presented onceptual framework for supporting the development and egration of information models. The CAPE OPEN standard elaud, Pons, & Braunschweig, 2002) defines rules and interes that allow computer aided process engineering componts to interoperate helping to facilitate the implementation standard interfaces between commercial tools used in the cess industry. Engineering modelling approaches have been plied to hepatocyte cultures in artificial liver systems (Sharma, apetritou, & Yarmush, 2005).…”

Section: Model Management and Process Engineeringmentioning

confidence: 99%

Addressing the challenges of multiscale model management in systems biology

Hetherington¹,

Bogle²,

Saffrey³

et al. 2007

Computers & Chemical Engineering

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stract athematical and computational modelling are emerging as important techniques for studying the behaviour of complex biological systems. argue that two advances are necessary to properly leverage these techniques: firstly, the ability to integrate models developed and executed on arate tools, without the need for substantial translation and secondly, a comprehensive system for storing and man-ageing not only the models mselves but also the parameters and tools used to execute those models and the results they produce. A framework for modelling with these tures is described here. We have developed of a suite of XML-based services used for the storing and analysis of models, model parameters results, and tools for model integration. We present these here, and evaluate their effectiveness using a worked example based on part of the atocyte glycogenolysis system.

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“…A CO compliant component is a piece of software that includes the supplier proprietary codes-objects or not-which realize or/and use CO interfaces. The communication between CO component instances is defined unambiguously by the CO interfaces introduced in Belaud and Pons (2002). In this case the middleware technologies are CORBA and COM.…”

Section: Interface Class and Componentmentioning

confidence: 99%