Table 2.

The main modules of LOD-ABOG

Module Name	Functionality
NLP	Performs the linguistic analysis tasks such as tokenization, segmentation, Part-of-Speech (POS) [62], etc. that is required as input by subsequent modules.
Entity Discovery	Identifies biomedical concepts from free-form text by UMLS and LOD authentication
Semantic Entity Enrichment	Identifies biomedical concepts from free-form text using UMLS and LOD
RDF Triple Extraction	Extracts well-defined information and URIs, as well as taxonomic relations to enrich discovered concepts using LOD.
Syntactic Patterns	Extracts non-taxonomic relations by identifying triples within a sentence that match predefined patterns of words against the input
Ontology Factory	Generates the ontology with respect to RDF, RDFS, OWL and SKOS schemas.