Scalable Knowledge Composition

Abstract

The objective Scalable Knowledge Computing project was to enable reliable composition of information scalably from multiple autonomous sources. We enable interoperation among information sources by defining application-sensitive rules (articulation rules) that define precisely the correspondence among the terms used to describe the distinct resources, databases, knowledge-bases or information on the web. Anyone who needs information from multiple websites, since it is not available in one single site, is aware of the amount of effort required to perform the simplest of composition tasks. Our aim is to provide a system that makes reliable interoperation among information sources a reality.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2001
Accession Number
ADA399067

Entities

People

  • Gio Wiederhold

Organizations

  • Stanford University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Applied Computer Science
  • Automatic
  • Buildings And Structures
  • Catalogs
  • Classification
  • Computational Biology
  • Computer Science
  • Databases
  • Demographic Cohorts
  • Digital Information
  • Encapsulation
  • Ontologies
  • Security
  • Storage
  • Universities

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Cybersecurity.
  • Distributed Systems and Data Platform Development