All-source Information Management and Integration for Improved Collective Intelligence Production

PDF

Authors
  1. Boury-Brisset, A-C.
  2. Frini, A.
  3. Lebrun, R.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN)
Abstract
Intelligence analysts face an ever increasing amount of heterogeneous information from various ISR sources, including data from sensors as well as human and open sources, provided in disparate multimedia formats and distributed across different systems. Further research is required for enhanced management and integration of all-source intelligence information, and collective production of intelligence products. To this end, a novel approach for global ISR information management and integration is needed. In the paper, we present the vision of a net-centric virtual centralization for the storage and management of all ISR information and intelligence products, making use of standards for data and services. This includes metadata standards for enhanced description of intelligence information for their subsequent retrieval or discovery. Also, semantic technologies and ontologies are envisioned to facilitate ISR integration through mediation of different representation schemes. Initiatives related to geospatial data management are presented. We then derive an architectural framework that incorporates the components and services required for our vision. Such an environment aims at providing users with services to store, access, discover, and integrate intelligence information in support of all-source analysis and sense-making activities. By maximising the use of emerging standards and semantic technologies, the approach should facilitate ISR information integration, collaboration,
Report Number
DRDC-VALCARTIER-SL-2011-331 — Scientific Literature
Date of publication
01 Jun 2011
Number of Pages
15
DSTKIM No
CA037249
CANDIS No
536990
Format(s):
Electronic Document(PDF)

Permanent link

Document 1 of 1

Date modified: