Knowledge engineering tools for reasoning with scientific observations and interpretations: a neural connectivity use case.

ABSTRACT:

Background

We address the goal of curating observations from published experiments in a generalizable form; reasoning over these observations to generate interpretations and then querying this interpreted knowledge to supply the supporting evidence. We present web-application software as part of the 'BioScholar' project (R01-GM083871) that fully instantiates this process for a well-defined domain: using tract-tracing experiments to study the neural connectivity of the rat brain.

Results

The main contribution of this work is to provide the first instantiation of a knowledge representation for experimental observations called 'Knowledge Engineering from Experimental Design' (KEfED) based on experimental variables and their interdependencies. The software has three parts: (a) t

SUBMITTER: Russ TA 

PROVIDER: S-EPMC3176268 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature