Knowledge Management through a Fully Extensible, Schema Independent, XML Database

Abstract

Information in any field, including bioinformatics, is a combination of data and the data's context. A system that manages information must be able to handle both aspects of information: context and data. The problem with most systems (databases in particular) is that the context must be predefined. In a field that is developing as fast as bioinformatics, it is as impossible to predefine all of the context as it is to predefine all of the data that is being generated. A knowledge management system must handle context or metadata as freely and flexibly as it handles data. NeoCore has developed a fully extensible, schema independent, XML-based information management system that meets this requirement.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410659

Entities

People

  • C. Brandin
  • C. Hedgepeth
  • Dongwoo Shin
  • H. Direen
  • McArthur Jones, Jr.

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Access Time
  • Biology
  • Biomedical Information Systems
  • Colon Cancer
  • Computational Biology
  • Data Management
  • Database Management Systems
  • Databases
  • Information Systems
  • Knowledge Management
  • Language
  • Markup Languages
  • Relational Database Management Systems
  • Relational Databases
  • Standards
  • Storage
  • Xml

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Distributed Systems and Data Platform Development