Analytical collaboration with globally-distributed repositories

Gregory A. Mack, David H. Fado, M. Brian Blake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In the international intelligence community, global repositories evolve naturally as a result of the multi-organizational collection of valuable information and insights. As individual analyst workspaces grow and links between analysts multiply, this global repository becomes a complex inter-related network of information. Analysts solve problems through collaboration at two levels: by sharing large quantities of new information and interacting directly with their colleagues to share insights. The authors are designing an infrastructure to enable analytical collaboration. An innovation in this work is a two-tiered model-based approach with automated, context-based information sharing on one level and person-in-the-loop insight sharing on the other. In evaluating our approach, the initial implementation uses a non-relational data store mapped into multiple viewpoints with a modeling language expressed in XML. This architecture applies to any system promoting cooperative analysis in a globally-distributed repository, not just systems in the intelligence community.

Original languageEnglish (US)
Title of host publicationLocal to Global Data Interoperability - Challenges and Technologies, 2005
Pages149-154
Number of pages6
StatePublished - Dec 1 2005
EventLocal to Global Data Interoperability - Challenges and Technologies, 2005 - Sardinia, Italy
Duration: Jun 20 2005Jun 24 2005

Publication series

NameLocal to Global Data Interoperability - Challenges and Technologies, 2005
Volume2005

Other

OtherLocal to Global Data Interoperability - Challenges and Technologies, 2005
CountryItaly
CitySardinia
Period6/20/056/24/05

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Analytical collaboration with globally-distributed repositories'. Together they form a unique fingerprint.

  • Cite this

    Mack, G. A., Fado, D. H., & Blake, M. B. (2005). Analytical collaboration with globally-distributed repositories. In Local to Global Data Interoperability - Challenges and Technologies, 2005 (pp. 149-154). [1612484] (Local to Global Data Interoperability - Challenges and Technologies, 2005; Vol. 2005).