An interactive system for finding complementary literatures: a stimulus to scientific discovery
Artificial Intelligence - Special issue on scientific discovery
Fast discovery of association rules
Advances in knowledge discovery and data mining
Using latent semantic indexing for literature based discovery
Journal of the American Society for Information Science
Mining Text Using Keyword Distributions
Journal of Intelligent Information Systems
Literature-based discovery by lexical statistics
Journal of the American Society for Information Science
A knowledge-based approach to organizing retrieved documents
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Journal of the American Society for Information Science and Technology
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
TopCat: Data Mining for Topic Identification in a Text Corpus
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Applying Data Mining Techniques for Descriptive Phrase Extraction in Digital Document Collections
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Interaction design for literature-based discovery
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Improving approximate matching capabilities for Meta Map Transfer applications
Proceedings of the 3rd international symposium on Principles and practice of programming in Java
Mining generalized association rules on biomedical literature
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Using statistical and knowledge-based approaches for literature-based discovery
Journal of Biomedical Informatics
Biomedical knowledge navigation by literature clustering
Journal of Biomedical Informatics
International Journal of Web and Grid Services
Literature Mining: Towards Better Understanding of Autism
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Research topic recommendation service: an approach based on semantic relation in context
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
A new evaluation methodology for literature-based discovery systems
Journal of Biomedical Informatics
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge
Proceedings of the third international workshop on Data and text mining in bioinformatics
Discovering genes-diseases associations from specialized literature using the grid
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Hypothesis generation and ranking based on event similarities
Proceedings of the 2010 ACM Symposium on Applied Computing
Discovering temporal bisociations for linking concepts over time
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
The arrowsmith project: 2005 status report
DS'05 Proceedings of the 8th international conference on Discovery Science
TNMCA: generation and application of network motif based inference models for drug repositioning
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics
Discovering discovery patterns with predication-based Semantic Indexing
Journal of Biomedical Informatics
A graph-based recovery and decomposition of Swanson's hypothesis using semantic predications
Journal of Biomedical Informatics
Time-based discovery in biomedical literature: mining temporal links
International Journal of Data Analysis Techniques and Strategies
Supervised hypothesis discovery using syllogistic patterns in the biomedical literature
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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The explosive growth in the biomedical literature has made it difficult for researchers to keep up with advancements, even in their own narrow specializations. In addition, this current volume of information has created barriers that prevent researchers from exploring connections to their own work from other parts of the literature. Although potentially useful connections might permeate the literature, they will remain buried without new kinds of tools to help researchers capture new knowledge that bridges gaps across distinct sections of the literature. In this paper, we present LitLinker, a system that incorporates knowledge-based methodologies, natural-language processing techniques, and a data-mining algorithm to mine the biomedical literature for new, potential causal links between biomedical terms. Our results from a well-known text-mining example show that LitLinker can capture these novel, interesting connections in an open-ended fashion, with less manual intervention than in previous systems.