Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
Despite increasingly distributed internet information sources with diverse storage formats and access-control constraints, most of the end applications (e.g., filters and media p...
In previous work, a new approach called Open CSP (OCSP) was defined as a way of integrate information gathering and problem solving. Instead of collecting all variable values befor...
The Knowledge Environment for Collaborative Science (KnECS) is an open source informatics toolkit designed to enable knowledge grids that interconnect science communities, unique ...
Karen Schuchardt, Carmen M. Pancerella, Larry A. R...
Information about small genetic variations in organisms, known as single nucleotide polymorphism (SNPs), is crucial to identify candidate genes that have a role in disease suscepti...
Paolo Missier, Suzanne M. Embury, Cornelia Hedeler...