Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

September 28, 2012

2013 Workshop on Interoperability in Scientific Computing

Filed under: Conferences,Interoperability,Science,Scientific Computing — Patrick Durusau @ 10:52 am

2013 Workshop on Interoperability in Scientific Computing

From the post:

The 13th annual International Conference on Computational Science (ICCS 2013) will be held in Barcelona, Spain from 5th – 7th June 2013. ICCS is an ERA 2010 ‘A’-ranked conference series. For more details on the main conference, please visit www.iccs-meeting.org The 2nd Workshop on Interoperability in Scientific Computing (WISC ’13) will be co-located with ICCS 2013.

Approaches to modelling take many forms. The mathematical, computational and encapsulated components of models can be diverse in terms of complexity and scale, as well as in published implementation (mathematics, source code, and executable files). Many of these systems are attempting to solve real-world problems in isolation. However the long-term scientific interest is in allowing greater access to models and their data, and to enable simulations to be combined in order to address ever more complex issues. Markup languages, metadata specifications, and ontologies for different scientific domains have emerged as pathways to greater interoperability. Domain specific modelling languages allow for a declarative development process to be achieved. Metadata specifications enable coupling while ontologies allow cross platform integration of data.

The goal of this workshop is to bring together researchers from across scientific disciplines whose computational models require interoperability. This may arise through interactions between different domains, systems being modelled, connecting model repositories, or coupling models themselves, for instance in multi-scale or hybrid simulations. The outcomes of this workshop will be to better understand the nature of multidisciplinary computational modelling and data handling. Moreover we hope to identify common abstractions and cross-cutting themes in future interoperability research applied to the broader domain of scientific computing.

How is your topic map information product going to make the lives of scientists simpler?

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