Ontology Specialties describes all possible specialties (directions) in the RF, in which the UGNS they are composed, as well as information about their old codes / groups / names. @en
The ELSEWeb Lifemapper ontology provides classes for describing biodiversity modelling services provided by Lifemapper. This project provides support for the ELSEWeb project(http://elseweb.cybershare.utep.edu/).
website: http://elseweb.cybershare.utep.edu/ontologies
email: nvillanuevarosales@utep.edu @en
The ELSEWeb mappings ontology imports related upper level ontologies and vocabularies and aligns ELSEWeb ontologies to importec classes. 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 Linked SPARQL Queries Vocabulary (LSQ(V)), defined using RDF(S) and OWL, provides a machine readable vocabulary to help describe queries in SPARQL logs and their statistics. The vocabulary builds upon the SPIN vocabulary and the Service Description vocabulary. @en
The ELSEWeb Modelling ontology provides simple classes for describing data models. 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
Marl is a standardised data schema designed to annotate and describe subjective opinions expressed on the web or in particular Information Systems. @en
ML-Schema is a collaborative, community effort with a mission to develop, maintain, and promote standard schemas for data mining and machine learning algorithms, datasets, and experiments @en