Development of a Prototype Relational Database System for Managing Fleet Battle Experiment Data

Abstract

This research develops a prototype relational database system for storing and managing Fleet Battle Experiment (FBE) data. It is the first step in constructing a knowledge-base system for such data. The objective is to create a relational database capable of generating information from past experiments for analysis and lessons learned to benefit future experiments. Research methodology included literature research of application development methodologies and database systems, as well as observing a FBE and gathering system requirements information from personnel that plan, configure, and participate in FBEs and war games. Development of the system involved designing a schema (data model) that consists of entities, attributes, and relationships of the FBE environment. The data model is transaction- (event-) based and concentrates on information flow in order to categorize and store the data. These events provide the logical links between the identified entities and the capability to query the system for desired information. Finally, a prototype application against the data model was developed to facilitate data entry, modification, and querying.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2000
Accession Number
ADA380771

Entities

People

  • Kevin Colon

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Command And Control
  • Computer Programs
  • Data Analysis
  • Database Management Systems
  • Databases
  • Information Systems
  • Lessons Learned
  • Military Organizations
  • Naval Operations
  • Naval Warfare
  • Navy
  • Organizational Structure
  • Position (Location)
  • Relational Databases
  • Sensor Networks
  • War Games

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Systems Analysis and Design