Extraction of Union and Intersection Axioms from Biomedical Text

Nikhil Sachdeva, Monika Jain, Raghava Mutharaju

Keywords: Ontology Learning, Ontology Enrichment, Axiom Extraction

Abstract:

Many ontology, especially the ones created automatically by the ontology learning systems, have only shallow relationships between
the concepts, i.e., simple subclass relations. Expressive axioms such as the class union and intersection are not part of the ontology. These expressive axioms make the ontology rich and play an essential role in the performance of downstream applications. However, such relations can generally be found in the text documents. We propose a mechanism and discuss our initial results in extracting union and intersection axioms from biomedical text using entity linking and taxonomic tree search.