Information Fusion: Moving from Domain Independent to Doman Literate Approaches

Printer-friendly version

Presented at the AGU Fall Meeting 2008

Concepts:eScience & Web Science


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


DateCreated ByLink
July 19, 2011
Jie BaoDownload

Related Projects:

Inference Web Project LogoInference Web
Principal Investigator: Deborah L. McGuinness
Description: 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. Provenance - if users (humans and agents) are to use and integrate data from unknown, uncertain, or multiple sources, they need provenance metadata for evaluation Interoperability - more systems are using varied sources and multiple information manipulation engines, thus increasing interoperability requirements Explanation/Justification - if information has been manipulated (i.e., by sound deduction or by heuristic processes), information manipulation trace information should be available Trust - if some sources are more trustworthy than others, trust ratings are desired The Inference Web consists of two important components: Proof Markup Language (PML) Ontology - Semantic Web based representation for exchanging explanations including provenance information - annotating the sources of knowledge justification information - annotating the steps for deriving the conclusions or executing workflows trust information - annotating trustworthiness assertions about knowledge and sources IW Toolkit - Web-based and standalone tools that facilitate human users to browse, debug, explain, and abstract the knowledge encoded in PML.

Related Research Areas:

Lead Professor: Peter Fox
Description: In the last 2-3 years, Informatics has attained greater visibility across a broad range of disciplines, especially in light of great successes in bio- and biomedical-informatics and significant challenges in the explosion of data and information resources. Xinformatics is intended to provide both the common informatics knowledge as well as how it is implemented in specific disciplines, e.g. X=astro, geo, chem, etc. Informatics' theoretical basis arises from information science, cognitive science, social science, library science as well as computer science. As such, it aggregates these studies and adds both the practice of information processing, and the engineering of information systems.
Concepts: , eScience