GARBE, Hilke and JANSSEN, Claudia and MÖBUS, Claus and SEEBOLD, Heiko and DE VRIES, Holger (2006) KARaCAs: Knowledge Acquisition with Repertory Grids and Formal Concept Analysis for Dialog System Construction. In: Managing Knowledge in a World of Networks. Lecture Notes in Artificial Intelligence, 4248 . Springer Berlin Heidelberg, Berlin-Heidelberg-New York, pp. 3-18. ISBN 978-3-540-46365-8


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We describe a new knowledge acquisition tool that enabled us to develop a dialog system recommending software design patterns by asking critical questions. This assistance system is based on interviews with experts. For the interviews we adopted the repertory grid method and integrated formal concept analysis. The repertory grid method stimulates the generation of common and differentiating attributes for a given set of objects. Using formal concept analysis we can control the repertory grid procedure, minimize the required expert judgements and build an abstraction based hierarchy of design patterns, even from the judgements of different experts. Based on the acquired knowledge we semi-automatically generate a Bayesian Belief Network (BBN), that is used to conduct dialogs with users to suggest a suitable design pattern for their individual problem situation. Integrating these different methods into our knowledge acquisition tool KARaCAs enables us to support the entire knowledge acquisition and engineering process. We used KARaCAs with three design pattern experts and derived approximately 130 attributes for 23 design patterns. Using formal concept analysis we merged the three lattices and condensed them to approximately 80 common attributes.

Item Type: Book Section
Uncontrolled Keywords: knowledge acquisition tool, software design patterns, recommender system, critical questions, repertory grid, formal concept analysis, hierarchy of design patterns
Subjects: Generalities, computers, information > Computer science, internet
Philosophy and psychology > Psychology
Divisions: School of Computing Science, Business Administration, Economics and Law > Department of Computing Science
Date Deposited: 22 Sep 2014 10:33
Last Modified: 22 Sep 2014 10:33
URN: urn:nbn:de:gbv:715-oops-19897

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