Case-Based Reasoning Research and Development: 7th by Rosina O. Weber, Michael M. Richter

By Rosina O. Weber, Michael M. Richter

This publication constitutes the refereed court cases of the seventh overseas convention on Case-Based Reasoning, ICCBR 2007, held in Belfast, Northern eire, united kingdom in August 2007.

The 15 revised complete learn papers and 18 revised poster papers provided including three invited talks have been rigorously reviewed and chosen from sixty four submissions. The papers tackle all present facets of case-based reasoning and have unique theoretical learn, utilized learn, and deployed purposes with functional, social, environmental or monetary significance.

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Extra info for Case-Based Reasoning Research and Development: 7th International Conference on Case-Based Reasoning, ICCBR 2007 Belfast Northern Ireland, UK, August

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Firstly, the similitude term can be seen as a partial discriminant description of Ci since all the cases satisfying the similitude term belong to Ci (according to one of the stopping conditions of LID). Therefore, the similitude term can be used as a generalization of knowledge in the sense of either PROTOS or inductive learning methods. On the other hand, because the similitude term contains the important features used to classify a problem, it can be interpreted as a justification or explanation of why the problem has been classified in Ci .

Fig. 7 represents an algorithm for retrieving cases similar to the user query via ontology-based indices. First, the algorithm generates expanded queries of every possible combinations of 24 L. Kerschberg et al. Fig. 6. XML-Schema for Ontology Index concepts, including their equivalent and generalized concepts. For example, a user query {Washington Monument, steakhouse} can be expanded via ontology navigation as: {Washington Monument, chophouse}{Washington Monument, restaurant}{DC, steakhouse}, etc.

4. 1 Semantic Case Representation Case-based Knowledge Sifter maintains cases representing a user query and its artifacts; these are required to recommend a refined query for each user-selected information domain. Fig. 5 shows an XML-based structure for the case representation. A case contains a username to identify its user, and this user identifier will be used to perform collaborative filtering and to retrieve the user’s preferences. Also, each case has an associated user query and multiple refined queries, because KS generates a refined query for each information domain.

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