A -- DYNAMIC DATABASE DYNAMIC DATABASE. POC: Major Thomas J. Burns, USAF, Program Manager, Defense Advanced Research Projects Agency (DARPA), Information Systems Office (ISO), 3701 North Fairfax Drive, Arlington, VA 22203-1714. Facsimile: (703) 696-2203; E-Mail: tjburns@darpa.mil (E-mail preferred). The purpose of this Special Notice (SN 97-30) is to announce the availability of an unclassified industrial briefing concerning the DARPA s Dynamic Database Program. This briefing will be held at the Holiday Inn Arlington-Ballston, 4610 North Fairfax Drive, Arlington, VA 22203. The briefing will begin at 0900; it is expected to be completed by 1600. Potential attendees should send a request for attendance/admission to the POC identified in this Notice not later than 1600 EST, Wednesday, 10 September 1997 Companies and other institutions should coordinate internally and submit a ranked, numbered list of requested attendees, with 1 being the highest priority. These lists should include each requested attendee s name, title, dutiesand responsibilities, institution or company division, phone, fax, and e-mail address. Requesters will be notified as rapidly as possible on the disposition of their requests. Seating is limited. If capacity is exceeded, attendance will be limited. Representative accommodations in the immediate area include the Holiday Inn Arlington-Ballston (703) 243-9800, Comfort Inn (703) 247-3399, and the Arlington Hilton (703) 528-6000. Representative accommodations near the site of this briefing include Holiday Inn Rosslyn-Western Park (703) 527-4814, Hyatt (703) 525-1234, Best Western Key Bridge (703) 522-0400, and Marriott Key Bridge (703) 524-6400. It is DARPA s intention to publish in the Commerce Business Daily (CBD) a Broad Agency Announcement (BAA) before this briefing, and to have available a Proposer s Information Package (PIP). These documents remain under development. In lieu of these documents at this time, the following summary-level information is provided for potential attendees: As the number of sensors, platforms, exploitation sites, and command and control nodes continues to grow in response to Joint Vision 2010 information dominance requirements, Commanders and analysts increasingly require the ability to rapidly sift through massive volumes of sensor data over wide areas to assess both friendly and enemy situations. Complicating this problem is the fact that current military situation assessment systems exploit only a fraction of all available multi-sensor data, and are unable to maintain a spatio-temporal history of the battlespace suitable for detecting tactically significant patterns and events. Additionally, today's situation estimates are produced by disjoint, labor-intensive systems that react slowly and asynchronously to rapidly changing terrain, environment, and operational conditions. The overarching goal of the Dynamic Database (DDB) program is to convert immense quantities of multi-sensor data into significant battlespace information in a timely, responsive manner. This goal will be met by designing, building, and demonstrating a battlespace awareness information system that (1) efficiently stores essential battlespace information and provides ready access to battlespace sensor observations collected over time, (2) uses the resulting sensor history to identify and focus users attention on tactically significant battlespace events, and (3) shares and synchronizes local situation estimates across the distributed battlespace. Dynamic Database contents will be maintained and shared through a Dynamic Situation Model (DSM) that integrates geo-registered sensor history data with terrain, environmental, and force information to yield a logically consistent, multi-level view of the battlespace. Single and multi-sensor data fusion approaches will be developed that efficiently populate and update the DSM by filtering tactically significant changes from the Dynamic Database sensor history. This objective includes the development of theory and techniques for incorporating mission and situation context into low-level processing algorithms, and advanced phenomenology models for translating expected conditions and behaviors into multi-sensor observables. Significant situation changes will be shared and synchronized throughout the battlespace within a scaleable DDB enterprise of distributed DDB nodes, computing applications, processors, and information repositories. Database technologies are desired that efficiently manage tera-object quantities of heterogeneous, time-sensitive information distributed across multiple sites and information repositories. DDB enterprise technologies will be developed to monitor database conditions for change, trigger external processes when conditions meet posted criteria, propagate changes across DSM nodes, and support queries and searches of distributed databases. E-MAIL: DARPA POC, tjburns@darpa.mil.

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