Affiliation: Centre for Process & Information Systems Engineering, University of Surrey, Guildford GU2 7XH, U.K.
Reference (Harvard): Kalemi, E.; Koo, L. and Cecelja, F. (2017). A Semantic Web Engine for Biorefining Model Integration. In Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications – Volume 1: SIMULTECH, ISBN 978-989-758-265-3, pages 272-279. DOI: 10.5220/0006439902720279
Abstract: “The number of models available to the biorefining community is continuously increasing, there is a need to provide better ways for their description, categorization, discovery and integration in order to improve reusability of them. Biorefining models on the other hand are developed using heterogeneous methods, data format and various environments that makes their reuse challenging. In this paper, we describe a semantic web engine for the domain of biorefining, which enhances the description of biorefining model by using semantic web technologies in order to facilitate discovery and integration…”
Comments: the authors recognize the unique contribution brought by CAPE-OPEN to the interoperability between CAPE software.