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.
Supported by the Spanish Committee of Science & Technology (TIC2002-01961).
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Recio, J.A., Díaz-Agudo, B., Gómez-Martín, M.A., Wiratunga, N. (2005). Extending jCOLIBRI for Textual CBR. In: Muñoz-Ávila, H., Ricci, F. (eds) Case-Based Reasoning Research and Development. ICCBR 2005. Lecture Notes in Computer Science(), vol 3620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11536406_33
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DOI: https://doi.org/10.1007/11536406_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28174-0
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