Information Fusion: Moving from domain independent to domain literate approaches

Information Fusion has been a focus of research within the field of computer science for a number of years. Numerous environments aimed at general schema evaluation, diagnosis, and evolution have evolved within those communities including for example the Chimaera Ontology Evolution Environment and the Prompt environment for mapping schema alignment. General (domain independent) efforts have produced useful research results and numerous tools, however these results have predominantly been generated and used by computer scientists and have been focused largely on information schema integration and diagnosis. More recently semantically-enabled web-centric approaches have emerged that utilize domain knowledge to provide tools and services aimed at natural scientists needs for data fusion. In this talk, we will introduce some foundations for information fusion and provide deployed examples of how these foundations and evolving tools have been and are being used today in natural science domains by domain scientists. Some examples will be provided from deployed virtual observatory settings.

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Associated Projects

The Inference Web is a Semantic Web based knowledge provenance infrastructure that supports interoperable explanations of sources, assumptions, learned information, and answers as an enabler for trust.

VSTO is a collaborative project between the High Altitude Observatory and Scientific Computing Division of the National Center for Atmospheric Research and McGuinness Associates. VSTO is funded by a grant from the National Science Foundation, Computer and Information Science and Engineering (CISE) in the Shared Cyberinfrastructure (SCI) division.