SEE: structured representation of scientific evidence in the biomedical domain using Semantic Web techniques.

ABSTRACT:

Background

Accounts of evidence are vital to evaluate and reproduce scientific findings and integrate data on an informed basis. Currently, such accounts are often inadequate, unstandardized and inaccessible for computational knowledge engineering even though computational technologies, among them those of the semantic web, are ever more employed to represent, disseminate and integrate biomedical data and knowledge.

Results

We present SEE (Semantic EvidencE), an RDF/OWL based approach for detailed representation of evidence in terms of the argumentative structure of the supporting background for claims even in complex settings. We derive design principles and identify minimal components for the representation of evidence. We specify the Reasoning and Discourse Ontology (RDO)

SUBMITTER: Bolling C 

PROVIDER: S-EPMC4108886 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature