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A OWL reasoning framework for the analysis of big biomedical data
A general OWL reasoning framework for the analysis of big biomedical data and implement a MapReduce-based property chain reasoning prototype system. OWL reasoning method is ideally suitable for problems involved complex semantic associations because it is able to infer logical consequences based on a set of asserted rules or axioms. MapReduce framework isused to solve the problem of scalability.
The Prajna project is a collection of tools and utility classes combining visualization, geographic displays, data fusion, and semantic reasoning into a cohesive toolkit for enhancing information discovery and reasoning.
Projeny (Probablistic Networks Generator in Java) is a graphical (Java SWT) front-end to BNT (Bayes Net Toolbox for Matlab). Projeny requires BNT, JMatLink and a Matlab back-end. There is no installable release package, but source code is available on SVN - please check out from SVN to use Projeny. Projeny was started with BNJ as the base.
HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.
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The ROSE reasoner is used to for reasoning with RDFS ontologies and currently supports the RDF, RDFS and eRDFS entailment regimes.
An online demo of the RDFS Reasoner can be found here: http://tools.deri.org/rdfs-reasoner/
fedg extracts knowledge and relevant events in chinese texts to generate Feature Event Dependency Graph.FEDG is a knowledge representation model,meaningful for latent knowledge discovery and efficient reasoning.