Advances in Knowledge Acquisition
Springer Berlin (Verlag)
978-3-540-61273-5 (ISBN)
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.
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.
Erscheint lt. Verlag | 26.4.1996 |
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Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | VIII, 400 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 521 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Automation • Data Mining • Data-Mining • Dom • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • Information Retrieval • Informationsabfrage • Knowledge Acquisition • Knowledge Discovery • Knowledge Representation • Künstliche Intelligenz • LA • Ontology • Problemlösungsstrategien • Problem Solving • verification • Wissen • Wissensakquisition • Wissensdarstellung • Wissenserwerb • Wissensrepräsentation |
ISBN-10 | 3-540-61273-4 / 3540612734 |
ISBN-13 | 978-3-540-61273-5 / 9783540612735 |
Zustand | Neuware |
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