SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
The Journal of Machine Learning Research
Towards the self-annotating web
Proceedings of the 13th international conference on World Wide Web
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Using the web to overcome data sparseness
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
The Knowledge Engineering Review
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Building CBR systems with jcolibri
Science of Computer Programming
Bringing taxonomic structure to large digital libraries
International Journal of Metadata, Semantics and Ontologies
Semantics and Experience in the Future Web
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Knowledge Planning and Learned Personalization for Web-Based Case Adaptation
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
WordNet: similarity - measuring the relatedness of concepts
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
WikiRelate! computing semantic relatedness using wikipedia
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Learning concept hierarchies from text corpora using formal concept analysis
Journal of Artificial Intelligence Research
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A propositional approach to textual case indexing
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Unsupervised feature selection for text data
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Mining semantic relations between research areas
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
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Case-Based Reasoning (CBR) solves problems by reusing past problem-solving experiences maintained in a casebase. The key CBR knowledge container therefore is its casebase. However there are further containers such as similarity, reuse and revision knowledge that are also crucial. Automated acquisition approaches are particularly attractive to discover knowledge for such containers. Majority of research in this area is focused on introspective algorithms to extract knowledge from within the casebase. However the rapid increase in Web applications has resulted in large volumes of user generated experiential content. This forms a valuable source of background knowledge for CBR system development. In this paper we present a novel approach to acquiring knowledge from Web pages. The primary knowledge structure is a dynamically generated taxonomy which once created can be used during the retrieve and reuse stages of the CBR cycle. Importantly this taxonomy is pruned according to a clustering-based sense disambiguation heuristic that uses similarity over the solution vocabulary of cases. Algorithms presented in the paper are applied to several online FAQ systems consisting of textual problem-solving cases. The goodness of generated taxonomies is evidenced by improved semantic comparison of text due to successful sense disambiguation resulting in higher retrieval accuracy. Our results show significant improvements over standard text comparison alternatives.