To fill the gaps that are currently present in the integrative
nature of informatics for the translation of science into
requirements for the underlying and largely syntactic
e-infrastructure.
Science has fully entered a new mode of operation. E-science,
defined as a combination of science, informatics, computer
science, cyberinfrastructure and information technology is
changing the way all of these disciplines do both their
individual and collaborative work.
Scientists are facing global problems of a magnitude, complexity and interdisciplinary nature that progress is limited by a trained and agile workforce.
At present, there is a lack of formal training in the key
cognitive and skill areas that would enable graduates to become
key participants in e-science collaborations. The purpose is to
teach methodologies, and provide application experience and
skill-sets in an inter-disciplinary forum to students and
interested participants.
As semantic technologies have been gaining momentum in various
e-Science areas (for example, W3C's new interest group for
semantic web health care and life science), it is important to
offer semantic-based methodologies, tools, middleware to
facilitate scientific knowledge modeling, logical-based
hypothesis checking, semantic data integration and application
composition, integrated knowledge discovery and data analyzing
for different e-Science applications.
Partially influenced by the Artificial Intelligence community,
the Semantic Web researchers have largely focused on formal
aspects of semantic representation languages or general-purpose
semantic application development, with inadequate consideration
of requirements from specific science areas. On the other hand,
general science researchers are growing ever more dependent on
the web, but they have no coherent agenda for exploring the
emerging trends on the semantic web technologies. It urgently
requires the development of a multi-disciplinary field to foster
the growth and development of e-Science applications based on
the semantic technologies and related knowledge-based
approaches.
Course Goal:
To fill the gaps that are currently present in the integrative
nature of informatics for the translation of science into
requirements for the underlying and largely syntactic
e-infrastructure.