Abstract
This paper summarises our work in textual Case-Based Reasoning within jCOLIBRI. We use Information Extraction techniques to annotate web pages to facilitate semantic retrieval over the web. Similarity matching techniques from CBR are applied to retrieve from these annotated pages. We demonstrate the applicability of these extensions by annotating and retrieving documents on the web. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Recio, J. A., Díaz-Agudo, B., Gómez-Martín, M. A., & Wiratunga, N. (2005). Extending jCOLIBRI for textual CBR. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3620, pp. 421–435). Springer Verlag. https://doi.org/10.1007/11536406_33
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