Context-based knowledge support for problem-solving by rule-inference and case-based reasoning

Duen-Ren Liu*, Chih Kun Ke, Mei Yu Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Problem-solving is an important process that enables corporations to create competitive business advantages. Traditionally, case-based reasoning techniques have been widely used to help workers solve problems. However, conventional approaches focus on identifying similar problems without exploring relevant context of problem situations. Situation features are generally occurred according to the context characteristics of problem. Moreover, situation features collected are usually partial or incomplete. Workers need to use knowledge inferred from relevant context information and previous problem-solving experience to clarify the causes and take appropriate action effectively. In this paper, we propose to use rule inference to infer possible situation features based on context information. Association rule mining is used to discover context-based inference rules from historical problem-solving logs. The discovered patterns identify frequent associations between context information and situation features, and therefore can be used to infer more situation features. By considering the inferred situation features, case-based reasoning can then be employed to identify similar situations effectively. Moreover, we employ information retrieval techniques to extract context-based situation profiles to model workers' information needs when handling problem situations in certain context. Effective knowledge support can thus be facilitated by providing workers with situation-relevant information based on the profiles.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Pages3205-3210
Number of pages6
DOIs
StatePublished - 29 Dec 2008
Event7th International Conference on Machine Learning and Cybernetics, ICMLC - Kunming, China
Duration: 12 Jul 200815 Jul 2008

Publication series

NameProceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Volume6

Conference

Conference7th International Conference on Machine Learning and Cybernetics, ICMLC
CountryChina
CityKunming
Period12/07/0815/07/08

Keywords

  • Case-based reasoning
  • Data mining
  • Information retrieval
  • Problem solving
  • Rule inference

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    Liu, D-R., Ke, C. K., & Wu, M. Y. (2008). Context-based knowledge support for problem-solving by rule-inference and case-based reasoning. In Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC (pp. 3205-3210). [4620959] (Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC; Vol. 6). https://doi.org/10.1109/ICMLC.2008.4620959