Support for Dynamic Collaborative Action Teams

Abstract

An essential step in fielding a timely and effective response to events of global importance is the ability to rapidly identify and integrate a crisis action team. This group should consist of exactly those individuals best qualified to manage the situation. Often, the organization of such a team follows identifiable patterns. Thus, it is important to rapidly identify the type of team, or pattern, required, and to identify the individuals that meet the requirements specified by this pattern. This is a challenging task, as information about people is often distributed across multiple locations, inconsistent or out-of-date, and phrased in the language of different domains. We present a framework that facilitates the rapid integration of teams by identifying scenario-based patterns, and using agent-based search across enterprise boundaries to identify people and assist in their assignment.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA463259

Entities

People

  • Christine O. Salamacha
  • David P. Glock
  • David P. Silberberg
  • James Mayfield
  • Markus E. Dale
  • R. S. Cost

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Autonomy
  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Boundaries
  • Command And Control
  • Contingency Operations (Military)
  • Crisis Management
  • Cross Domain
  • Environment
  • Identification
  • Information Retrieval
  • Language
  • Metadata
  • Ontologies
  • Physics Laboratories
  • Software Agents
  • Specifications
  • Standards

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Emergency Management and Homeland Security.
  • Systems Analysis and Design