1 IEEE TRANSACTION ON KNOWLEDGE AND DATA ENGINEERING, VOL. 15 NO.5, SEPTEMBER/OCTOBER 2003 Manuscript received 10 July 2000; received 2 Jan. 2001; accept.

Slides:



Advertisements
Similar presentations
CoABS Grid Military Users Group (GMUG) for the SWMU Tom Martin November 13, 2001 for LCDR Dylan Schmorrow CoABS Program Manager
Advertisements

Semantic Web for the Military User Overview. Outline Objectives – motivation Agenda Participants Next Steps as a group Each area will present –C2 Applications.
Semantic Web for the Military User C2 Applications Breakout Report 11/14/01.
Database Systems: Design, Implementation, and Management Tenth Edition
Sensors and location technologies – the front end of ISR
International CyberSecurity Collaboration: The Technical Cooperation Program Approved for public release; distribution is unlimited. 09 March 2010 Joshua.
IMAGERY & INTELLIGENCE SOLUTIONS, INC. 360 ° of Imagery Introducing IIS Inc. Imagery and Intelligence Solutions Incorporated (IIS Inc.) is a service-connected.
U.S. Department of Defense Surveillance Recommendations for Management of Chikungunya and Dengue Vectors James E. Cilek.
National Space-Based Positioning, Navigation, and Timing (PNT) Federal Advisory Board DHS Challenges & Opportunities Captain Curtis Dubay, P.E. Department.
1 CISR-consultancy Challenges “Customer ask us what to do next” Keywords: “Customer ask us what to do next” From Policy to Practise The world is going.
Department of the Navy AFCEA Small Business Brief Seán F. Crean, Director. Office of Small Business Programs 16 May 2013.
1 Introduction The Database Environment. 2 Web Links Google General Database Search Database News Access Forums Google Database Books O’Reilly Books Oracle.
IT Planning.
Irwin/McGraw-Hill Copyright © 2004 The McGraw-Hill Companies. All Rights reserved Whitten Bentley DittmanSYSTEMS ANALYSIS AND DESIGN METHODS6th Edition.
Chapter 10 Information Systems Management. Agenda Information Systems Department Plan the Use of IT Manage Computing Infrastructure Manage Enterprise.
Chapter 2: IS Building Blocks Objectives
The database development process
SEABEE COMBAT WARFARE NCF OFFICER SPECIFIC
By Mary Lou Pilnick 8/14/20151 Graduate School of Operational and Information Sciences Peter Purdue, Dean CAPT Douglas Otte, Associate Dean.
U.S. Federal Government Program Management Study John Ready, PMP PricewaterhouseCoopers LLP Study Volunteer February 3, 2011.
Naval Organization Chapter 6 BMR
Database Systems: Design, Implementation, and Management Ninth Edition
Bina Nusantara 2 C H A P T E R INFORMATION SYSTEM BUILDING BLOCKS.
Enabling Organization-Decision Making
Katanosh Morovat.   This concept is a formal approach for identifying the rules that encapsulate the structure, constraint, and control of the operation.
S/W Project Management Software Process Models. Objectives To understand  Software process and process models, including the main characteristics of.
Tne Role of Ontologies in Military Collaboration Barry Smith 1.
1 As a public interest company, MITRE works in partnership with the government to address issues of critical national
Copyright © 2004 The McGraw-Hill Companies. All Rights reserved Whitten Bentley DittmanSYSTEMS ANALYSIS AND DESIGN METHODS6th Edition Irwin/McGraw-Hill.
Chapter 1 In-lab Quiz Next week
Computer Science and Engineering 1 Service-Oriented Architecture Security 2.
Chapter 1 Introduction to Data Mining
@ ?!.
© Ören M&SNet, OC-MISS, and International Synergistic Opportunities” 1 M&SNet, OC-MISS, and International Synergistic Opportunities JSMARTS.
Coalition Interoperability via Formatted Messaging
High Level Architecture Overview and Rules Thanks to: Dr. Judith Dahmann, and others from: Defense Modeling and Simulation Office phone: (703)
Thomas Glancy.  Formed August 10, 1949  Headed by the US Secretary of Defense  Headquarters: The Pentagon, Virginia  Employees: 700,000 civilian 1,418,542.
CSC-532 Term Paper INTEROPERABILITY MODELS Hitesh Nagda.
1-1 System Development Process System development process – a set of activities, methods, best practices, deliverables, and automated tools that stakeholders.
Slide 1V&V 10/2002 Software Quality Assurance Dr. Linda H. Rosenberg Assistant Director For Information Sciences Goddard Space Flight Center, NASA
BUSINESS DRIVEN TECHNOLOGY
DoD Region 4 Pollution Prevention Project Task 8: Database Development and EMS Integration Phil Barnes University of South Carolina.
Secure Sensor Data/Information Management and Mining Bhavani Thuraisingham The University of Texas at Dallas October 2005.
Copyright © 2004 The McGraw-Hill Companies. All Rights reserved Whitten Bentley DittmanSYSTEMS ANALYSIS AND DESIGN METHODS6th Edition Irwin/McGraw-Hill.
Understanding the Human Network Martin Kruger LCDR Jodie Gooby November 2008.
NATO UNCLASSIFIED Bi-SC Concept for Connecting NATO and National Training Capabilities IPR Angel San Jose Martin ACT Project Manager Wolfhard Schmidt.
Database Environment Chapter 2. Data Independence Sometimes the way data are physically organized depends on the requirements of the application. Result:
AL-MAAREFA COLLEGE FOR SCIENCE AND TECHNOLOGY INFO 232: DATABASE SYSTEMS CHAPTER 1 DATABASE SYSTEMS Instructor Ms. Arwa Binsaleh.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 2 Information System Building Blocks.
CSE 102 Introduction to Computer Engineering What is Computer Engineering?
Digital Libraries1 David Rashty. Digital Libraries2 “A library is an arsenal of liberty” Anonymous.
C4ISR for the Military: Development and Implementation Presentation to the Security Network’s C4ISR, Robot Platforms, and Sensor Conference Greg Collins,
Fax: (703) DoD BIOMETRICS PROGRAM DoD Biometrics Management Office Phone: (703)
June 13-15, 2007Policy 2007 Infrastructure-aware Autonomic Manager for Change Management H. Abdel SalamK. Maly R. MukkamalaM. Zubair Department of Computer.
A Framework with Behavior-Based Identification and PnP Supporting Architecture for Task Cooperation of Networked Mobile Robots Joo-Hyung Kiml, Yong-Guk.
Data Mining with Big Data IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2014 Xiangyu Cai ( )
1 Architecture and Behavioral Model for Future Cognitive Heterogeneous Networks Advisor: Wei-Yeh Chen Student: Long-Chong Hung G. Chen, Y. Zhang, M. Song,
Erik Jonsson School of Engineering and Computer Science The University of Texas at Dallas Cyber Security Research on Engineering Solutions Dr. Bhavani.
Data Mining Concepts and Techniques Course Presentation by Ali A. Ali Department of Information Technology Institute of Graduate Studies and Research Alexandria.
Database Systems: Design, Implementation, and Management Eighth Edition Chapter 1 Database Systems.
VIEWS b.ppt-1 Managing Intelligent Decision Support Networks in Biosurveillance PHIN 2008, Session G1, August 27, 2008 Mohammad Hashemian, MS, Zaruhi.
Imagine, Create, and Secure a Stronger Peace… National Defense University Col Kris Bauman, USAF, PhD Senior Military Fellow, Institute for National Strategic.
CHAPTER 5 NAVY RESEARCH AND DEVELOPMENT CHAPTER 5 NAVY RESEARCH AND DEVELOPMENT MODULE: NAVAL KNOWLEDGE UNIT 2: NAVAL OPERATIONS AND SUPPORT FUNCTIONS.
PTAC Presentation A subsidiary of G/Force, Inc.. Introduction Tri Star Engineering is a service disabled veteran owned small business with a focus on.
Machine Reasoning and Learning Workshops III and IV Kickoff Wen Masters Office of Naval Research Code 311 (703)
3 Types of Data Fusion in OWS-8
Naval Opportunity Awareness Workshop
DISA Global Operations
Program Executive Officer Commander, U.S. Joint Forces Command
Software and Software Engineering
Presentation transcript:

1 IEEE TRANSACTION ON KNOWLEDGE AND DATA ENGINEERING, VOL. 15 NO.5, SEPTEMBER/OCTOBER 2003 Manuscript received 10 July 2000; received 2 Jan. 2001; accept 25 July 2001 Data Management Challenges and Development for Military Information Systems Marion G. Ceruti, Senior Member, IEEE Chih-Hung Liao who makes a report

2 Army’s tactical DB Navy’s tactical DB Air Force’s tactical DB Marine Corps.’s tactical DB

3 MISSION IMPOSSIBLE (1)It establishes new tactical DB and gives up all legacy DB. It don’t have enough budget in the Department Of Defense. (2) Army Navy Air force Marine Black box wth same specification It is too long for responding time. responding

4 Abstract-1 This paper explores challenges facing information system professionals in the management of data and knowledge in the Department of Defense (DOD), particularly in the information systems utilized to support Command, Control, Communications, Computers, and Intelligence (C4I).

5 Abstract-2 These information systems include operational tactical systems, decision-support systems, and modeling and simulation systems, all of which affect the design, operation, interoperation, and application of C4I systems.

6 Abstract-3 Specific topics include issues in integration and interoperability, joint standards, data access, data aggregation, information system component reuse, and legacy systems. Broad technological trends, as well as the use of specific developing technologies are discussed in light of how they may enable the DOD to meet the present and future information management challenges.

7 (1) Introduction-1 As the tactical emphasis in the DOD shifts from platform-centric toward network-centric warfare, the issues in information systems integration, interoperability of new and legacy systems, data mining, aggregation, standardization, and reuse become more important.

8 (1)Introduction-2 For example, at the joint level, the Defense Information Systems Agency (DISA) promotes engineering practices aimed at sharing data among the services. At the service-specific level, the Navy has designated the Space and Naval Warfare Systems Center, San Diego, (SSC SD) as the Navy’s lead laboratory in command, control, and ocean surveillance.

9 (2.1)Standards-1 Navy’s tactical systems are described by the Naval Warfare Tactical Database (NWTDB) data-element naming conventions. The Army also has its data-element naming conventions, which are not necessarily the same as those of the Navy. The Air Force still has other standards

10 ( 2.1)Standards-2 Each service had evolved standards according to its specific needs without regard to joint considerations, until the reductions in the defense budget forced the services to reexamine their policies and practices.

11 (2.1)Standards-3 A major challenge in data standardization is to make standards general enough to apply to all services, and still meet the requirements of the individual specific services

12 (2.2)Information-System Component Reuse -1 What is the best way for the Navy to design and implement information systems that the Army Marine Corp. or the Air Force also can reuse efficiently? Reuse has two aspects: - the design of new systems for future reuse - and the reuse of legacy software components in existing systems.

13 (3.1)Integration in Tactical System -1 DOD has so many database and metadata inconsistencies that correcting all of them was impossible. A better approach to database integration for C4I needs to be considered at the program-management level.

14 (3.1)Integration in Tactical System -2 The intent is to streamline a systematic study of potential areas of conflict that could result in the identification of integration opportunities and eventually, to automate the conflict-resolution process.

15 (3.1)Integration in Tactical System -3 Alternately, integration engineers can alert users about the conflicts that cannot be resolved, a situation that can occur with multiple accesses to independent information sources available on a network.

16 (4)NETWORK-CENTRIC Warfare When computing equipment was introduced into the military, it was installed in centralized headquarters and support facilities.

17 (5)TECHNOLOGIES AND RESEARCH USING Data Mining -on sketchy and sparse data, which also includes detecting rare events using available data. -the identification of missing data and for the integration and correlation of this missing information -various data-mining algorithms with data-fusion products?

18 (6)CONCLUSION This paper also discusses some of the new technologies and research directions considered most important to information systems in the DOD, such as networks, artificial intelligence, data mining, object-oriented design, information assurance, and dynamic databases for sensor fusion that future military systems will use. However, these technologies will need to gain political acceptance and financial support to be successful.

19 Software Reuse Relational DBMSHierarchical DBMS Complex DBMS ** DB : data stored specification ** MS : software that managers DB

20 Army Navy Air force AAABBBCCC SU 26 XXX SU 26 DATA AGGREGATION BEFOREAFTER