Sketching for Knowledge Capture: A Progress Report

Abstract

Many concepts and situations are best explained by sketching. This paper describes our work on sKEA, the sketching Knowledge Entry Associate, a system designed for knowledge capture via sketching. We discuss the key ideas of sKEA: blob semantics for glyphs to sidestep recognition for visual symbols, qualitative spatial reasoning to provide richer visual and conceptual understanding of what is being communicated, arrows to express domain relationships, layers to express within sketch segmentation (including a meta-layer to express subsketch relationships themselves via sketching), and analogical comparison to explore similarities and differences between sketched concepts. Experiences with sKEA to date and future plans are also discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 16, 2002
Accession Number
ADA465534

Entities

People

  • Jeffrey Usher
  • Ken Forbus

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Analogies
  • Application Software
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Science
  • Computer Vision
  • Grammars
  • Hard Copy
  • Language
  • Linguistics
  • Natural Languages
  • Reasoning
  • Recognition
  • Semantics
  • Vocabulary

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence