Buch, Englisch, 400 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1210 g
9th European Knowledge Acquisition Workshop, EKAW'96, Nottingham, UK, May 14 - 17, 1996. Proceedings
Buch, Englisch, 400 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1210 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-540-61273-5
Verlag: Springer Berlin Heidelberg
The 23 revised full papers included address the most relevant theoretical and applicational aspects of knowledge acquisition with a certain emphasis on the acquisition of knowledge for the modelling or automation of complex problem-solving behaviour. The volume is organized in sections on theoretical and general issues, eliciting knowledge from textual or other sources, data-mining, group elicitation, and planning.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Assumptions of problem-solving methods.- Problem-solving methods: Making assumptions for efficiency reasons.- The thin end of the wedge: Efficiency and the generalised directive model methodology.- Principles for libraries of task decomposition methods — Conclusions from a case-study.- A purpose driven method for language comparison.- A conceptual and formal model of a diagnostic reasoner.- Ontology construction for technical domains.- Text clustering to help knowledge acquisition from documents.- A quality-based terminological reasoning model for text knowledge acquisition.- Extracting conceptual knowledge from text using explicit relation markers.- Structuring information in a distributed hypermedia system.- Diagrammatic knowledge acquisition: Elicitation, analysis and issues.- An approach to measuring theory quality.- Some late-breaking news from the data mines and a preview of the KOALA system: A prospector's report.- A knowledge acquisition tool for multi-perspective concept formation.- Knowledge discovery in databases: Exploiting knowledge-level redescription.- Towards painless knowledge acquisition.- The acquisition of a shared task model.- The group elicitation method: An introduction.- Formalising the repair of schedules through knowledge acquisition.- Intelligent tools for planning knowledge base development and verification.- Configuring service recovery planning with the CommonKADS library.- Domain and system influences in problem solving models for planning.
