Towards integrated environmental model-based problem solving 2.0.

Environmental problem solving requires that problem-solving resources such as tools, models, data and its documentation can seamlessly cooperate, even if they are distributed and originate from different disciplines. The main hurdles to take include problematic collaboration within multidisciplinary teams, finding appropriate resources, and gluing them to a single virtual specific problem-solver. The first approach to lower these hurdles is based on knowledge related to the problem, to the problem solving process and to the problem-solving model, organized in ontological knowledge repositories, which are structured in layers, ranging from generic to detailed and specific. A second part of the approach consists of developing a framework that enables finding appropriate resources and compose them to end-user applications with workflows that guide team members through the problem solving process. Such a framework implicates interoperability of the components in a technical, syntactic and semantic sense. Semantic interoperability can be based on semantic annotation of the components and organizing this annotated knowledge in Ontological Knowledge Repositories. Moving towards environmental modelling 2.0 will make a change.