MEX is an RDF vocabulary designed to facilitate interoperability between published machine learning experiments results on the Web. The mex-algo layer represents the algorithm information existing into a basic machine learning experiment. @en
MEX is an RDF vocabulary designed to facilitate interoperability between published machine learning experiments results on the Web. The mex-core layer represents the core information gathered from a basic machine learning experiment design. @en
MEX is an RDF vocabulary designed to facilitate interoperability between published machine learning experiments results on the Web. The mex-perf layer is the 3rd level of the MEX for representing the machine learning algorithm's performances. @en
The EduProgression ontology formalizes the educational progressions of the French educational system, making possible to represent the existing progressions in a standard formal model, searchable and understandable by machines (OWL). @en
The ELSEWeb EDAC ontology describes datasets published by EDAC. This project provides foundational support for the ELSEWeb project(http://elseweb.cybershare.utep.edu/).
website: http://elseweb.cybershare.utep.edu/ontologies
email: nvillanuevarosales@utep.edu @en
The ELSEWeb Lifemapper parameters ontology provides auxiliary classes and instances that describe input parameters of Lifemapper modelling services. This ontology provides support for the ELSEWeb project(http://elseweb.cybershare.utep.edu/).
website: http://elseweb.cybershare.utep.edu/ontologies
email: nvillanuevarosales@utep.edu @en
The Identifier Ontology models non-RDF based Identifiers for resources. It is used to maintain a mapping between RDF resources identifiers and their equivalent IDs in an alternate, non-RDF based domain. @en
The ontology describing the Shoah domain, proposed here in beta version, aims to formally describe concepts and relationships that characterize the process of persecution and deportation of Jews in Italy between 1943 and 1945. @en
ISPRA ontology aims at the description of the processes and activities of the Institute in the areas circumscribed by the first published datasets. @en