HyQue: evaluating hypotheses using Semantic Web technologies.

ABSTRACT:

Background

Key to the success of e-Science is the ability to computationally evaluate expert-composed hypotheses for validity against experimental data. Researchers face the challenge of collecting, evaluating and integrating large amounts of diverse information to compose and evaluate a hypothesis. Confronted with rapidly accumulating data, researchers currently do not have the software tools to undertake the required information integration tasks.

Results

We present HyQue, a Semantic Web tool for querying scientific knowledge bases with the purpose of evaluating user submitted hypotheses. HyQue features a knowledge model to accommodate diverse hypotheses structured as events and represented using Semantic Web languages (RDF/OWL). Hypothesis validity is evaluated against ex

SUBMITTER: Callahan A 

PROVIDER: S-EPMC3102892 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature