A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Dimensions of knowledge sharing and reuse
Computers and Biomedical Research
A collaborative approach to ontology design
Communications of the ACM - Ontology: different ways of representing the same concept
A Semantic Web Primer
Ontology for genome comparison and genomic rearrangements: Conference Papers
Comparative and Functional Genomics
Environmental Modelling & Software
Environmental Modelling & Software
Space, time and nesting Integrated Assessment Models
Environmental Modelling & Software
The PIAM approach to modular integrated assessment modelling
Environmental Modelling & Software
An integrated approach to linking economic valuation and catchment modelling
Environmental Modelling & Software
Original papers: Linking models for assessing agricultural land use change
Computers and Electronics in Agriculture
Environmental Modelling & Software
Environmental Modelling & Software
Putting humans in the loop: Social computing for Water Resources Management
Environmental Modelling & Software
A generic framework for scenario exercises using models applied to water-resource management
Environmental Modelling & Software
An integrated assessment tool to define effective air quality policies at regional scale
Environmental Modelling & Software
Integrated environmental modeling: A vision and roadmap for the future
Environmental Modelling & Software
An ontology derived from heterogeneous sustainability indicator set documents
Proceedings of the Seventeenth Australasian Document Computing Symposium
Map algebra and model algebra for integrated model building
Environmental Modelling & Software
Integration of agricultural and energy system models for biofuel assessment
Environmental Modelling & Software
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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.