A semantic framework for enabling model integration for biorefining

Abstract

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.

Information and Communication Technology Solutions for the Circular Economy

“…The use of semantics and ontologies has also been gaining ground in CE fields. Koo et al introduce a new paradigm for establishing a semantic framework, which enables model integration for biorefining [56]. By supporting biorefining processes, this solution can lead to resources savings.…”

An Ontological Metro Accident Case Retrieval Using CBR and NLP

“…Many industries have developed ontologies for efficient knowledge management, such as medicine, computer science, and biology. For instance, using ontology engineering, Koo, et al [24] proposed a semantic framework for integrating the processing model and dataset in the domain of biorefining. In the construction industry, Ding, et al [25] established an ontology-based semantic network to produce a construction risk knowledge map, in which the ontology was used to standardize the description of each aspect of risk knowledge and facilitate the knowledge reasoning and retrieval.…”

Semantic Interoperability and Characterization of Data Provenance in Computational Molecular Engineering

“…In computational molecular engineering, two major organized efforts toward achieving an agreed coherent semantic-technology framework have been conducted: With a focus on process simulations, CAPE-OPEN was developed, which is in use both in academic and industrial engineering practice. [43][44][45][46] At present, ongoing work within a series of projects associated with the European Materials Modelling Council (EMMC) aims at going beyond this by achieving interoperability for all physical modelling and simulation methods, including quantum mechanics, molecular modelling and simulation, and continuum methods up to the macroscopic and process level. 47 Within this line of work, a Review of Materials Modelling (RoMM) was conducted, 47 and MODA (Model Data), a semi-intuitive graph language for simulation workflows, 48 was introduced jointly with a collection of further semantic assets, 49 including the European Materials & Modelling Ontology (EMMO) which is under development by Ghedini et al 50 Compared to generic workflow notations, MODA is tailored to optimally address aspects that are specifically relevant to materials modelling, and it is based on the RoMM terminology that was developed for the same purpose.…”

“…54,55 CAPE-OPEN is in use in both academic and industrial engineering practice. 56,57 At present, ongoing work within a series of projects associated with the European Materials Modelling Council (EMMC) aims at going beyond this by achieving interoperability for all physical modeling and simulation methods, including quantum mechanics, molecular modeling and simulation, and continuum methods up to the macroscopic and process level. 45,58 Within this line of work, a Review of Materials Modelling (RoMM) was conducted.…”

“…In computational molecular engineering, two major organized efforts toward achieving an agreed coherent semantic-technology framework have been conducted: With a focus on process simulations, CAPE-OPEN was developed in computer aided process engineering as an open interface standard. , CAPE-OPEN is in use in both academic and industrial engineering practice. , At present, ongoing work within a series of projects associated with the European Materials Modelling Council (EMMC) aims at going beyond this by achieving interoperability for all physical modeling and simulation methods, including quantum mechanics, molecular modeling and simulation, and continuum methods up to the macroscopic and process level. , Within this line of work, a Review of Materials Modelling (RoMM) was conducted. This review, which is now available in its sixth edition, resulted from work done within the European Commission Directorate for Research and Innovation.…”