KREAM 2012 - International Workshop on Knowledge representation and applied models and metadata in computational science (KREAM)

Computational science techniques require in many cases models and representations of knowledge for the complex processes supporting research in the different fields (Greene et al., 2005), and complex models are also required to capture the research context itself (Simmhan et al., 2005). This has resulted in the development of ontologies, metadata schemas and other kinds of models that are shared, reused and enriched for computational science tasks continuously. Relevant examples are scientific ontologies as the Gene Ontology or the Plant Ontology and metadata schemas as the Ecological Metadata Language (EML), but many other models that are less used are regularly used in computational science research. These artifacts call for specific methods, techniques and scientific infrastructure support that deserve separate attention.
The KREAM workshop aims at gathering high quality research results about the use of knowledge representations, schemas and models in computational science for concrete applications, the design of e-science infrastructure support or papers dealing with the analysis, development or evaluation of the representations themselves.
References
- Greene, J. et al. (2005) Complexity in ecology and conservation: mathematical, statistical, and computational challenges. Bioscience 55, 501-510
- Simmhan, Y. L., Plale, B., and Gannon, D. (2005). A survey of data provenance in e-science. SIGMOD Rec. 34, 3 (Sep. 2005), pp. 31-36
http://www.ieru.org/org/kream/2012/