A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
The growing popularity of graph databases has generated interesting data management problems, such as subgraph search, shortest path query, reachability verification, and pattern ...
Biomedical Ontologies are intended to integrate diverse biomedical data to enable intelligent datamining and facilitate translation of basic research into useful clinical knowledg...
Robert Hoehndorf, Colin R. Batchelor, Thomas Bittn...
Background: Bio-ontologies are key elements of knowledge management in bioinformatics. Rich and rigorous bio-ontologies should represent biological knowledge with high fidelity an...
-- Searching for medical information on the Web is popular and important. However, medical search has its own unique requirements that are poorly handled by existing medical Web se...