DOI

Paper presents research framework based on methodology of knowledge acquisition via visual structured analysis of the domain. The methodology includes formal procedure and special techniques of knowledge stratification and detalisation. Described approach is implemented in computer programs, that may be used as special cognitive tools, helping domain experts to investigate the domain knowledge through visual design of concept maps of knowledge bases. The paper also discusses how ontologies can be specified at the knowledge level using the set of graphical intermediate representations. Special software tool implementing visual knowledge engineering techniques and principles is described in the paper. In this paper, we also present the CAKE as a software tool to specify ontologies and concept maps at knowledge level. Its multilingual generator module automatically translates the visual specification into targeted knowledge representation languages. CAKE may be also effectively used for visual hypertext design and development of hypermedia applications on WWW.

Original languageEnglish
Title of host publicationEngineering Applications of Bio-Inspired Artificial Neural Networks - International Work-Conference on Artificial and Natural Neural Networks, IWANN 1999, Proceedings
EditorsJose Mira, Juan V. Sanchez-Andres
PublisherSpringer Nature
Pages750-758
Number of pages9
ISBN (Print)3540660682, 9783540660682
DOIs
StatePublished - 1 Jan 1999
Event5th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1999 - Alicante, Spain
Duration: 2 Jun 19994 Jun 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1607
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1999
Country/TerritorySpain
CityAlicante
Period2/06/994/06/99

    Research areas

  • domain knowledge, knowledge asquistition, knowledge engineer, cognitive tool, visual specification, SCOPUS

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

ID: 45441400