A general purpose ontology for observable properties. The ontology supports description of both qualitative and quantitative properties. The allowed scale or units of measure may be specified. A property may be linked to substances-or-taxa and to features or realms, if they play a role in the definition. @en
This is the element set of native RDF classes and properties described in the current text (Feb 2009) of the Functional Requirements for Bibliographic Records (FRBR) entity-relationship model. @en
This is the element set of native RDF classes and properties described in the Functional Requirements for Authority Data model. The model also uses elements previously described in the Functional Requirements for Bibliographic Records (FRBR) entity-relationship model. @en
This is a registration of classes and properties from International Standard Bibliographic Description (ISBD), consolidated edition, published by De Gruyter Saur in July 2011 (ISBN 978-3-11-026379-4). @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
LSC, the Linked Science Core Vocabulary, is a lightweight vocabulary providing terms to enable publishers and researchers to relate things in science to time, space, and themes. @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-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-perf layer is the 3rd level of the MEX for representing the machine learning algorithm's performances. @en
The ELSEWeb Data ontology provides simple classes for describing datasets. 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