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.

Язык оригиналаанглийский
Название основной публикацииEngineering Applications of Bio-Inspired Artificial Neural Networks - International Work-Conference on Artificial and Natural Neural Networks, IWANN 1999, Proceedings
РедакторыJose Mira, Juan V. Sanchez-Andres
ИздательSpringer Nature
Страницы750-758
Число страниц9
ISBN (печатное издание)3540660682, 9783540660682
DOI
СостояниеОпубликовано - 1 янв 1999
Событие5th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1999 - Alicante, Испания
Продолжительность: 2 июн 19994 июн 1999

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том1607
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция5th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1999
Страна/TерриторияИспания
ГородAlicante
Период2/06/994/06/99

    Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

ID: 45441400