Benchmarking infrastructure for mutation text mining.

ABSTRACT:

Background

Experimental research on the automatic extraction of information about mutations from texts is greatly hindered by the lack of consensus evaluation infrastructure for the testing and benchmarking of mutation text mining systems.

Results

We propose a community-oriented annotation and benchmarking infrastructure to support development, testing, benchmarking, and comparison of mutation text mining systems. The design is based on semantic standards, where RDF is used to represent annotations, an OWL ontology provides an extensible schema for the data and SPARQL is used to compute various performance metrics, so that in many cases no programming is needed to analyze results from a text mining system. While large benchmark corpora for biological entity and relation extr

SUBMITTER: Klein A 

PROVIDER: S-EPMC3939821 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature