Defining Knowledge Layers for Textual Case-Based Reasoning
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
The Role of Information Extraction for Textual CBR
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Proceedings of the 4th international conference on The Semantic Web
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Extending jCOLIBRI for textual CBR
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Text mining scientific papers: a survey on FCA-Based information retrieval research
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
jcolibri2: A framework for building Case-based reasoning systems
Science of Computer Programming
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This paper describes our work in textual Case-Based Reasoning within the context of Semantic Web. Semantic Annotation of plain texts is one of the core challenges for building the Semantic Web. We have used different techniques to annotate web pages with domain ontologies to facilitate semantic retrieval over the web. Typical similarity matching techniques borrowed from CBR can be applied to retrieve these annotated pages as cases. We compare different approaches to do such annotation process: manually, automatically based on Information Extraction (IE) rules, and completing the IE rules within the rules that result from the application of Formal Concept Analysis over a set of manually annotated cases. We have made our experiments using the textual CBR extension of the jCOLIBRI framework.