Concept Maps for Designing Adaptive Knowledge Maps
| Autor: | Andrew Emery, Christopher Mooney, Nicolas Mille, Michel Crampes, Jean Villerd, Sylvie Ranwez, Filip Velickovski |
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| Přispěvatelé: | Laboratoire de Génie Informatique et Ingénierie de Production (LGI2P), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT) |
| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: |
Knowledge Maps
Computer science interaction 02 engineering and technology Machine learning computer.software_genre Multi-Dimensional Scaling Domain (software engineering) adaptivity Body of knowledge music interface Knowledge extraction 0202 electrical engineering electronic engineering information engineering Multidimensional scaling [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] navigation business.industry Concept map 05 social sciences [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM] 050301 education 020207 software engineering Concept Maps Domain knowledge Domain engineering Computer Vision and Pattern Recognition Artificial intelligence business 0503 education computer |
| Zdroj: | Information Visualization Information Visualization, SAGE Publications, 2006, 5 (3), pp.211-224 HAL |
| ISSN: | 1473-8716 1473-8724 |
| Popis: | International audience; Concept Maps are an excellent method to visually represent and interact with a knowledge domain. A Knowledge Map is a further complicated instance of a Concept Map, containing many instances of concepts and concept relations that add to the complexity of a visual representation. Adaptivity is also a key requirement for Knowledge Maps that we will demonstrate through practical example. This paper presents both a method, called ‘Domain-View-Controller' (DVC) and a software environment specifically designed to create adaptive Knowledge Maps from Concept Maps. These tools give professional knowledge designers the means for specifying the domain knowledge of end users, allowing them to build well organized, adaptive Knowledge Maps with partial automated assistance. This paper also presents a scheme for the fully automated process of creating Knowledge Maps from domain specifications, giving end users the ability to display complex knowledge without having the expertise of Knowledge Engineers. The paper focuses on a real world example from the domain of music to illustrate the underlying principles. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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