Knowledge-Based Automatic Graph Layout.

Abstract

This report describes the initial investigation of the applications of ideas and techniques, drawn from Natural Language Generation (NLG) experience, that can improve the quality and usefulness of diagrams produced by automatic graph layout systems. Section 1 of the report gives information on automatic graph layout and NLG, summarizes the investigation and its findings, and illustrates how some specific diagrams can by improved by the identified techniques. Section 2 summarizes the state-of-the-art. Sections 3 through 8 discuss sublanguages, pragmatics, document planning, user and task tailoring, psychological knowledge, and consistency issues. Section 9 speculates about possible document creation using "integrated multimodal Theory," and Section 10 contains conclusions. (KAR) P. 3

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1995
Accession Number
ADA296735

Entities

People

  • Ehud Reiter

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Automatic
  • Cognitive Science
  • Computational Linguistics
  • Computational Science
  • Computer Science
  • Computers
  • Consistency
  • Demographic Cohorts
  • Engineering
  • Language
  • Linguistics
  • Natural Languages
  • Psychology
  • Signal Processing
  • Software Development

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Software Engineering
  • Theoretical Analysis.