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Defining assessment projects and scenarios for policy support: Use of ontology in Integrated Assessment and Modelling

Janssen, S. ; Ewert, F. ; Li, Hongtao ; Athanasiadis, I. N. ; Wien, J. J. F. ; Therond, O. ; Knapen, M. J. R. ; Bezlepkina, I. ; Alkan Olsson, Johanna LU and Rizzoli, A. E. , et al. (2009) 2nd International Conference on Asian Simulation and Modelling 24(12). p.1491-1500
Abstract
Integrated Assessment and Modelling (IAM) provides an interdisciplinary approach to support ex-ante decision-making by combining quantitative models representing different systems and scales into a framework for integrated assessment. Scenarios in IAM are developed in the interaction between scientists and stakeholders to explore possible pathways of future development. As IAM typically combines models from different disciplines, there is a clear need for a consistent definition and implementation of scenarios across models, policy problems and scales. This paper presents such a unified conceptualization for scenario and assessment projects. We demonstrate the use of common ontologies in building this unified conceptualization, e.g. a... (More)
Integrated Assessment and Modelling (IAM) provides an interdisciplinary approach to support ex-ante decision-making by combining quantitative models representing different systems and scales into a framework for integrated assessment. Scenarios in IAM are developed in the interaction between scientists and stakeholders to explore possible pathways of future development. As IAM typically combines models from different disciplines, there is a clear need for a consistent definition and implementation of scenarios across models, policy problems and scales. This paper presents such a unified conceptualization for scenario and assessment projects. We demonstrate the use of common ontologies in building this unified conceptualization, e.g. a common ontology on assessment projects and scenarios. The common ontology and the process of ontology engineering are used in a case study, which refers to the development of SEAMLESS-IF, an integrated modelling framework to assess agricultural and environmental policy options as to their contribution to sustainable development. The presented common ontology on assessment projects and scenarios can be reused by IAM consortia and if required, adapted by using the process of ontology engineering as proposed in this paper. (C) 2009 Elsevier Ltd. All rights reserved. (Less)
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Integration, Knowledge management, Collaborative approach, Multi-disciplinary teams, Policy assessment
host publication
Environmental Modelling & Software
volume
24
issue
12
pages
1491 - 1500
publisher
Elsevier
conference name
2nd International Conference on Asian Simulation and Modelling
conference location
Chiang Mai, Thailand
conference dates
2007-01-09 - 2007-01-11
external identifiers
  • wos:000270611200015
  • scopus:69249205656
ISSN
1364-8152
1873-6726
DOI
10.1016/j.envsoft.2009.04.009
language
English
LU publication?
yes
id
6c4c80f6-affd-4b23-8590-e1acde76f2ed (old id 1507445)
date added to LUP
2016-04-01 11:44:27
date last changed
2025-04-08 23:54:27
@inproceedings{6c4c80f6-affd-4b23-8590-e1acde76f2ed,
  abstract     = {{Integrated Assessment and Modelling (IAM) provides an interdisciplinary approach to support ex-ante decision-making by combining quantitative models representing different systems and scales into a framework for integrated assessment. Scenarios in IAM are developed in the interaction between scientists and stakeholders to explore possible pathways of future development. As IAM typically combines models from different disciplines, there is a clear need for a consistent definition and implementation of scenarios across models, policy problems and scales. This paper presents such a unified conceptualization for scenario and assessment projects. We demonstrate the use of common ontologies in building this unified conceptualization, e.g. a common ontology on assessment projects and scenarios. The common ontology and the process of ontology engineering are used in a case study, which refers to the development of SEAMLESS-IF, an integrated modelling framework to assess agricultural and environmental policy options as to their contribution to sustainable development. The presented common ontology on assessment projects and scenarios can be reused by IAM consortia and if required, adapted by using the process of ontology engineering as proposed in this paper. (C) 2009 Elsevier Ltd. All rights reserved.}},
  author       = {{Janssen, S. and Ewert, F. and Li, Hongtao and Athanasiadis, I. N. and Wien, J. J. F. and Therond, O. and Knapen, M. J. R. and Bezlepkina, I. and Alkan Olsson, Johanna and Rizzoli, A. E. and Belhouchette, H. and Svensson, Mats and van Ittersum, M. K.}},
  booktitle    = {{Environmental Modelling & Software}},
  issn         = {{1364-8152}},
  keywords     = {{Integration; Knowledge management; Collaborative approach; Multi-disciplinary teams; Policy assessment}},
  language     = {{eng}},
  number       = {{12}},
  pages        = {{1491--1500}},
  publisher    = {{Elsevier}},
  title        = {{Defining assessment projects and scenarios for policy support: Use of ontology in Integrated Assessment and Modelling}},
  url          = {{http://dx.doi.org/10.1016/j.envsoft.2009.04.009}},
  doi          = {{10.1016/j.envsoft.2009.04.009}},
  volume       = {{24}},
  year         = {{2009}},
}