SemSimp similarity experiments - software and data
Published: 23 January 2023| Version 1 | DOI: 10.17632/pv3hvmbppk.1
Contributors:
Antonio De Nicola, Francesco TaglinoDescription
The dataset was used to assess the performance of the SemSimp semantic similarity method. It collects the code for the statistical analysis, the ACM and APS datasets, the used ontologies to compute semantic similarity, and the achieved results.
Files
Institutions
Istituto di analisi dei sistemi ed informatica Antonio Ruberti Consiglio Nazionale delle Ricerche, ENEA Centro Ricerche Casaccia
Categories
Semantics, Ontology, Similarity Measure