Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Literature-based discovery by lexical statistics
Journal of the American Society for Information Science
Journal of the American Society for Information Science and Technology
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
The Basic Practice of Statistics with Cdrom
The Basic Practice of Statistics with Cdrom
Journal of the American Society for Information Science and Technology
Using statistical and knowledge-based approaches for literature-based discovery
Journal of Biomedical Informatics
Literature Mining: Towards Better Understanding of Autism
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Drug Discovery as an Example of Literature-Based Discovery
Computational Discovery of Scientific Knowledge
Literature mining method RaJoLink for uncovering relations between biomedical concepts
Journal of Biomedical Informatics
Outlier Detection in Cross-Context Link Discovery for Creative Literature Mining
The Computer Journal
Chance discovery and the disembodiment of mind
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Bridging concept identification for constructing information networks from text documents
Bisociative Knowledge Discovery
Bisociative Knowledge Discovery
Exploring the power of outliers for cross-domain literature mining
Bisociative Knowledge Discovery
Bisociative literature mining by ensemble heuristics
Bisociative Knowledge Discovery
Applications and evaluation: overview
Bisociative Knowledge Discovery
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The aim of this chapter is to present the role of outliers in literature-based knowledge discovery that can be used to explore potential bisociative links between different domains of expertise. The proposed approach upgrades the RaJoLink method which provides a novel framework for effectively guiding the knowledge discovery from literature, based on the principle of rare terms from scientific articles. This chapter shows that outlier documents can be successfully used as means of detecting bridging terms that connect documents of two different literature sources. This linking process, known also as closed discovery, is incorporated as one of the steps of the RaJoLink methodology, and is performed by using publicly available topic ontology construction tool OntoGen. We chose scientific articles about autism as the application example with which we demonstrated the proposed approach.