Searching the Web with SHOE

Abstract

Although search engine technology has improved in recent years, there are still many types of searches that return unsatisfactory results. This situation can be greatly improved if web pages use a semantic markup language to describe their content. We have developed SHOE, a language for this purpose, and in this paper describe a scenario for how the language could be used by search engines of the future. A major challenge to this system is designing a query tool that can exploit the power of a knowledge base while still being simple enough for the casual user. We present the SHOE Search tool, which allows the user to specify a context for his or her query, and then uses the context to help the user build a query by example.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADA440405

Entities

People

  • James Hendler
  • Jeff Heflin

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Case Studies
  • Computer Languages
  • Computer Science
  • Language
  • Markup Languages
  • Military Research
  • Natural Language Processing
  • Natural Languages
  • Neural Networks
  • Ontologies
  • Standards
  • User Interface
  • Vocabulary
  • World Wide Web
  • Xml

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Systems Analysis and Design