An ontological conceptualization of multiscale models

被引:45
作者
Yang, Aidong [1 ]
Marquardt, Wolfgang [1 ]
机构
[1] Rhein Westfal TH Aachen, Lehrstuhl Prozesstech, D-52064 Aachen, Germany
关键词
Multiscale modeling; Conceptualization framework; Ontology; Systems; Classification; INTEGRATION; ALGORITHMS;
D O I
10.1016/j.compchemeng.2008.11.015
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Multiscale modeling has recently been widely used in various fields of science and engineering. A few research efforts have attempted to generalize existing applications mainly by means of classifying multiscale modeling paradigms, to reach a general understanding of multiscale modeling. However, these existing efforts have been largely inductive and abstracting from the applications the researchers were familiar with. This has inevitably caused inconsistencies within the results of different researchers. Further. existing work has not provided a precise definition for the fundamental concepts such as scale,which arguably has been the main source of confusion. in this work, we attempt to address this issue through developing a coherent conceptualization framework. instead of starting with existing applications, our work is built upon a conceptualization of general systems, from which precise definitions of scale and inter-scale relations are derived. This is further followed by a precise specification of the composition of a multiscale model and subsequently a classification of multiscale models, all through rigorous definitions. This conceptualization framework is represented in form of an ontology by means of a set-theoretic language. It reuses part of an existing ontology (the BWW ontology). The key concepts in this framework are illustrated through two modeling examples judiciously chosen from the field of chemical engineering. In comparison with existing results, the key contribution of this framework is not a classification but rather a generic conceptual foundation for a better understanding of multiscale modeling, which is intended to be sharable by researchers from different backgrounds. On the other hand, it is demonstrated that a rigorously defined classification can be derived from this conceptual foundation. It is also shown that the classifications of multiscale modeling proposed in other works can be interpreted by means of the suggested conceptualization framework in a precise manner. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:822 / 837
页数:16
相关论文
共 50 条
  • [1] The idea of society: the Spoken World Theory and the ontological conceptualization of society
    Van Langenhove, Luk
    FRONTIERS IN SOCIOLOGY, 2023, 8
  • [2] Models of the Universe: Ontological and Physical Problems
    Vladlenova, Iliana
    Kalnytskyi, Eduard
    PHILOSOPHY AND COSMOLOGY-FILOSOFIYA I KOSMOLOGIYA, 2022, 28 : 42 - 50
  • [3] Multiscale models of infection
    Talman, Lee
    Agmon, Eran
    Peirce, Shayn M.
    Covert, Markus W.
    CURRENT OPINION IN BIOMEDICAL ENGINEERING, 2019, 11 : 102 - 108
  • [4] Leveraging Ontological Knowledge for Neural Language Models
    Deshpande, Ameet
    Jegadeesan, Monisha
    PROCEEDINGS OF THE 6TH ACM IKDD CODS AND 24TH COMAD, 2019, : 350 - 353
  • [5] Multiscale Models of Cell Signaling
    Sameer S. Bajikar
    Kevin A. Janes
    Annals of Biomedical Engineering, 2012, 40 : 2319 - 2327
  • [6] Multiscale Models of Cell Signaling
    Bajikar, Sameer S.
    Janes, Kevin A.
    ANNALS OF BIOMEDICAL ENGINEERING, 2012, 40 (11) : 2319 - 2327
  • [7] Parsimonious multiscale classification models
    Alsberg, BK
    JOURNAL OF CHEMOMETRICS, 2000, 14 (5-6) : 529 - 539
  • [8] Novel multiscale models in a multicontinuum approach to divide and conquer strategies
    Feijoo, Raul A.
    Blanco, Pablo J.
    Neto, Eduardo A. de Souza A.
    Sanchez, Pablo J.
    COMPUTATIONAL & APPLIED MATHEMATICS, 2023, 42 (04)
  • [9] POST-CITY: SPACE AND ONTOLOGICAL MODELS OF IMAGINATION
    Zamyatin, D. N.
    POLIS-POLITICHESKIYE ISSLEDOVANIYA, 2018, (03): : 147 - 165
  • [10] Dynamic Models of Geographic Environment Using Ontological Relations
    Martinez, Miguel
    Levachkine, Serguei
    INFORMATION FUSION AND GEOGRAPHIC INFORMATION SYSTEMS, PROCEEDINGS, 2009, : 165 - 176