HESML: a real-time semantic measures library for the biomedical domain with a reproducible survey.

ABSTRACT:

Background

Ontology-based semantic similarity measures based on SNOMED-CT, MeSH, and Gene Ontology are being extensively used in many applications in biomedical text mining and genomics respectively, which has encouraged the development of semantic measures libraries based on the aforementioned ontologies. However, current state-of-the-art semantic measures libraries have some performance and scalability drawbacks derived from their ontology representations based on relational databases, or naive in-memory graph representations. Likewise, a recent reproducible survey on word similarity shows that one hybrid IC-based measure which integrates a shortest-path computation sets the state of the art in the family of ontology-based semantic measures. However, the lack of an efficient shor

SUBMITTER: Lastra-Diaz JJ 

PROVIDER: S-EPMC8734250 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature