150
results
  • ceon-value - Circular Economy Ontology Network (CEON) - Value Module
    http://w3id.org/CEON/ontology/value/
    A core ODP of the CEON ontology network, defining aspects of the value concept. @en
  • experts - MAEO - MarketPlace Agent and Expert Ontology
    http://w3id.org/emmo-maeo/maeo
    The MarketPlace Agent and Expert Ontology (MAEO) is an ontology for modeling experts, expertise, and more broadly, knowledge providers and knowledge seekers for the subject areas of Materials Modeling. MAEO is an EMMO-compliant application ontology, and has been loosely aligned with a number of existing ontologies, including Friend-Of-A-Friend (FOAF) and five recently-developed EMMO-based domain ontologies for the classification of materials, models, manufacturing processes, characterization methods and software products related to Materials Modeling. @en
  • dt - Data Template (DT) Ontology
    http://w3id.org/dt
    The Data Template (DT) Ontology is based on concepts and principles for creating templates from ISO 23387 and the associated XML data schema, which is currently under development. @en
  • bato - Battery Testing Ontology
    http://w3id.org/emmo-bto/bto
    The Battery Testing Ontology (BTO) is an application-level ontology belonging to EMMO's ecosystem, meant to model battery testing methodologies and techniques, like the partial discharge test. BTO is connected and aligned with a number of EMMO-based ontologies, including CHAMEO, Battery Domain Ontology and Electrochemistry. @en
  • hpo - Hyperdimensional Polymer Ontology
    http://w3id.org/emmo-hpo/hpo
    An ontology to capture the staggering diversity of polymeric materials and their applications. @en
  • dstv - DSTV:Steel Construction Ontology
    http://w3id.org/dstv
    DSTV ontology @en
  • dk - The Data Knowledge Vocabulary
    http://www.data-knowledge.org/dk/
    The Data Knowledge Vocabulary allows for a comprehensive description of data assets and enterprise data management. It covers a business data dictionary, data quality management, data governance, the technical infrastructure and many other aspects of enterprise data management. The vocabulary represents a linked data implementation of the Data Knowledge Model which resulted from extensive applied research. @en
  • ivoam - Messengers
    http://www.ivoa.net/rdf/messenger
    A vocabulary of particles used for observations in astronomy. This list started its existence as the controlled vocabulary for VODataService's vs:Waveband type; the machine-readable identifiers are in upper case for backwards compatibility. @en
  • onc - Open NEE Configuration Model
    http://www.ics.forth.gr/isl/oncm/core
    The Open NEE Configuration Model defines a Linked Data-based model for describing a configuration supported by a Named Entity Extraction (NEE) service. It is based on the model proposed in "Configuring Named Entity Extraction through Real-Time Exploitation of Linked Data" (http://dl.acm.org/citation.cfm?doid=2611040.2611085) for configuring such services, and allows a NEE service to describe and publish as Linked Data its entity mining capabilities, but also to be dynamically configured. @en
  • ceo - Consumer Electronics Ontology
    http://www.ebusiness-unibw.org/ontologies/consumerelectronics/v1
    An Ontology for Consumer Electronics Products and Services @en
  • np - Nano publication ontology
    http://www.nanopub.org/nschema
    The nanopub ontology @en
  • opmw - The OPMW Ontology
    http://www.opmw.org/ontology/
    OPMW is a OPMV profile to model the executions and definitions of scientific workflows. @en
  • msr - Measurement Ontology
    http://www.telegraphis.net/ontology/measurement/measurement#
    The Measurement Ontology is an ontology in which measurements may be rendered @en
  • traffic - Road Traffic Management
    http://www.sensormeasurement.appspot.com/ont/transport/traffic
    An ontology that describes the management of the traffic in a straight road with two lanes, both in the same direction. @en
  • mls - Machine Learning Schema
    http://www.w3.org/ns/mls
    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