Semantic representation of proved and disproved statements extracted from scientific papers: Meat science case study

Abstract

AbstractThe article presents an ontology called “Science” designed for representing proved and disproved statements extracted from scientific papers from the database of the ProOptiBeef project. We argue that the proved and disproved statements are the best characterization of the content of the papers they are extracted from. We show that ontological representation of proved and disproved statements not only facilitates the access to the content of the papers and increases the precision of a semantical search, but also allows for an automatic generation of new statements from the ones already coded in the ontology