An interactive system for finding complementary literatures: a stimulus to scientific discovery
Artificial Intelligence - Special issue on scientific discovery
Text mining: finding nuggets in mountains of textual data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining: concepts and techniques
Data mining: concepts and techniques
Principles of data mining
Information discovery from complementary literatures: categorizing viruses as potential weapons
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Enabling Concept-Based Relevance Feedback for Information Retrieval on the WWW
IEEE Transactions on Knowledge and Data Engineering
ACIRD: Intelligent Internet Document Organization and Retrieval
IEEE Transactions on Knowledge and Data Engineering
Text analysis and knowledge mining system
IBM Systems Journal
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Prototypical case mining from biomedical literature for bootstrapping a case base
Applied Intelligence
Concept mining for indexing medical literature
Engineering Applications of Artificial Intelligence
Towards the web of concepts: extracting concepts from large datasets
Proceedings of the VLDB Endowment
Named relationship mining from medical literature
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
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This article addresses the task of mining concepts from biomedical literature to index and search through this documents base. This research takes place within the Telemakus project, which has for goal to support and facilitate the knowledge discovery process by providing retrieval, visual, and interaction tools to mine and map research findings from research literature in the field of aging. A concept mining component automating research findings extraction such as the one presented here, would permit Telemakus to be efficiently applied to other domains. The main principle that has been followed in this project has been to mine from the legends of the documents the research findings as relationships between concepts from the medical literature. The concept mining proceeds through stages of syntactic analysis, semantic analysis, relationships building, and ranking.