Modeling the knowledge contents of CBR systems

Modeling the knowledge contents of CBR systems (2001)

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by Agnar Aamodt

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@MISC{Aamodt01modelingthe,
    author = {Agnar Aamodt},
    title = {Modeling the knowledge contents of CBR systems},
    year = {2001}
}

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Abstract

Recent work within the CBR community has studied more systematic means of interrelating different types of domain knowledge, tasks, and methods for building and maintaining CBR systems. This paper reviews work from the knowledge acquisition community, targeted at methodologies and tools for analysis, modeling, and maintenance of knowledge components. It is argued that the knowledge level is the appropriate level for describing the behavior of an intended CBR system, and for identifying the contents of its knowledge components. A framework is outlined in which a knowledge-level modeling methodology is adapted for the modeling and maintenance of CBR knowledge contents.

Citations

647	The knowledge level - Newell - 1982
151	Components of expertise - Steels - 1990
128	OIL in a nutshell - Fensel, Horrocks - 2000
78	Model construction operators - Clancey
63	M.A.: Mapping domains to methods in support of reuse - Gennari, Tu, et al. - 1994
40	Assumptions of problemsolving methods - Benjamins, Pierret-Golbreich - 1996
30	The componential framework and its role in reusability - Steels - 1993
29	Specifications of Knowledge Components for Reuse - Motta, Fensel, et al. - 1999
26	Categorizing case-base maintenance: dimensions and directions - Leake, Wilson - 1998
23	Focusing construction and selection of abductive hypotheses - Leake - 1993
20	Issues in knowledge level modeling - Velde - 1993
17	Towards a Unification of Knowledge Modelling Approaches - Wielinga, Velde, et al. - 1993
16	D.: Learning, goals, and learning goals - Ram, Leake - 1995
16	The knowledge contained in similarity measures. Invited talk at ICCBR-95 - Richter - 1995
14	Knowledge Acquisition and Learning from Experience - The Role of Case-Specific Knowledge - Aamodt - 1995
14	A Knowledge-Level Task Model of Adaptation in Case-Based Reasoning - Fuchs, Mille - 1999
14	Combining CBR with Interactive Knowledge Acquisition, Manipulation and Reuse - Leake, Wilson - 1999
13	Relating case-based problem solving and learning methods to task and domain characteristics; towards an analytic framework - Althoff, Aamodt - 1996
13	Conceptual models of interactive knowledge acquisition tools - Musen - 1989
11	Case-based learning: Beyond classification of feature vectors - Aha, Wettschereck - 1997
10	Linking models to make sense to modeling to implement systems in an operational modeling environment - Linster - 1992
10	A library of problem-solving components based on the integration of the search paradigm with task and method ontologies - Motta, Zdrahal - 1998
9	Ingredients for Developing a Case-Based Reasoning Methodology - Bergmann, Wilke, et al. - 1997
8	Usable and reusable programming constructs, Knowledge Acquisition 3, No.2 - Klinker, Bhola, et al. - 1991
2	Interactive Case-Based Reasoning: Influences, Utility, and Outlook in an Applied World - Aha - 2000
2	Explanation – driven-case-based reasoning. In Topics in case-based reasoning, edited by S. Wess et al - Aamodt - 1994
2	Towards a Software Architecture for Case-based Reasoning Systems - Plaza, Arcos - 2000
1	Case-based reasoning at the knowledge-level: An analysis of CHEF - Armengol, Plaza - 1993
1	Issues in knowledge level modeling,InJ-M.David,J-P.Krivine,R.Simmons (eds.), Second generation expert systems - Velde - 1993