Table 2 The main modules of LOD-ABOG
From: Linked open data-based framework for automatic biomedical ontology generation
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. |