HESML: A scalable ontology-based semantic similarity measures library with a set of reproducible experiments and a replication dataset
Supervisor: Dra. Ana García Serrano
This work is a detailed companion reproducibility paper of the methods and experiments proposed in our previously published articles, which
introduces the following contributions: (1) a new and efficient representation model for taxonomies, called PosetHERep, which is an adaptation of the halfedge data structure commonly used to represent discrete manifolds and planar graphs; (2) a new Java software library called the Half-Edge Semantic Measures Library (HESML) based on PosetHERep, which implements most ontology-based semantic similarity measures and Information Content (IC) models reported in the literature;
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Juan José Lastra Díaz students
