Abstract
SmartCAT is a Case Authoring Tool that creates knowledge-rich cases from textual reports. Knowledge is extracted from the reports and used to learn a concept hierarchy. The reports are mapped onto domain-specific concepts and the resulting cases are used to create a hierarchically organised case-based system. Indexing knowledge is acquired automatically unlike most textual case-based reasoning systems. Components of a solution are attached to nodes and relevant parts of a solution are retrieved and reused at different levels of abstraction. We evaluate SmartCAT on the SmartHouse domain looking at the usefulness of the cases, the structure of the case-base and the retrieval strategy in problem-solving. The system generated solutions compare well with those of a domain expert.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Asiimwe, S., Craw, S., Taylor, B.: Discovering a concept hierarchy from SmartHouse reports. In: Proc 3rd Textual Case-Based Reasoning Workshop, 8th European Conference on Case-Based Reasoning (2006)
Bergmann, R., Wilke, W.: On the role of abstraction in case-based reasoning. In: Proc 3rd European Workshop on Advances in Case-Based Reasoning, pp. 28–43. Springer, Heidelberg (1996)
Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. Journal of the American Society for Information Science 41(6), 391–407 (1990)
Gabrilovich, E., Markovitch, S.: Computing semantic relatedness using Wikipedia-based explicit semantic analysis. In: Proc 20th International Joint Conference for Artificial Intelligence (2007)
Hammond, K., Burke, R., Martin, C., Lytinen, S.: FAQ Finder: a case-based approach to knowledge navigation. In: Proc 11th Conference on Artificial Intelligence for Applications, p. 80. IEEE Computer Society, Los Alamitos (1995)
Jenkins, M.-C., Smith, D.: Conservative stemming for search and indexing. Special Interest Group on Information Retrieval (2005)
Patterson, D., Rooney, N., Dobrynin, V., Galushka, M.: Sophia: A novel approach for textual case-based reasoning. In: Proc 19th International Joint Conference on Artificial Intelligence, pp. 15–20 (2005)
Petersen, W.: A set-theoretical approach for the induction of inheritance hierarchies. Electronic Notes in Theoretical Computer Science 53, 296–308 (2004)
Priss, U.: Formal concept analysis in information science. Annual Review of Information Science and Technology, 40 (2006)
Recio, J.A., Díaz-Agudo, B., Gomez-Martin, M., Wiratunga, N.: Extending jCOLIBRI for textual CBR. In: Muñoz-Ávila, H., Ricci, F. (eds.) ICCBR 2005. LNCS (LNAI), vol. 3620, pp. 421–435. Springer, Heidelberg (2005)
Smyth, B., Keane, M.T., Cunningham, P.: Hierarchical case-based reasoning integrating case-based and decompositional problem-solving techniques for plant-control software design. IEEE Transactions on Knowledge and Data Engineering 13(5), 793–812 (2001)
Watson, I.D., Perera, S.: A hierarchical case representation using context guided retrieval. Knowledge Based Systems 11(5-6), 285–292 (1998)
Weber, R.O., Ashley, K.D., Brüninghaus, S.: Textual Case-Based Reasoning. Knowledge Engineering Review 20(3), 255–260 (2005)
Wiratunga, N., Craw, S., Taylor, B., Davis, G.: Case-based reasoning for matching SmartHouse technology to people’s needs. Knowledge Based Systems 17(2-4), 139–146 (2004)
Wiratunga, N., Koychev, I., Massie, S.: Feature selection and generalisation for textual case retrieval. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 806–820. Springer, Heidelberg (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Asiimwe, S., Craw, S., Taylor, B., Wiratunga, N. (2007). Case Authoring: From Textual Reports to Knowledge-Rich Cases. In: Weber, R.O., Richter, M.M. (eds) Case-Based Reasoning Research and Development. ICCBR 2007. Lecture Notes in Computer Science(), vol 4626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74141-1_13
Download citation
DOI: https://doi.org/10.1007/978-3-540-74141-1_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74138-1
Online ISBN: 978-3-540-74141-1
eBook Packages: Computer ScienceComputer Science (R0)