Linked Open Vocabularies

ioc - IOC: Internet of Construction Ontology

http://w3id.org/ioc

The Internet of Construction Ontology (IoC) construction process ontology is intended to represent a comprehensive solution of how processes in the construction industry can be modelled. Due to the iterative nature of creating an ontology, the construction process ontology presented here can at best be considered a working state at the time of publication. Our approach emphasizes the simplest and most comprehensive mapping possible, which is only extended based on insights from practical use when otherwise compelling limitations in usability and applicability arise. Thus, the extension and refinement of the developed construction process ontology strongly depends on the integration of further areas of the construction value chain and the connection of further domain ontologies. @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

vocals - VoCaLS: A Vocabulary and Catalog for Linked Streams

http://w3id.org/rsp/vocals#

This ontology aims to model RDF streams, their metadata, and access endpoints for publishing and consuming these streams @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

ioto - IoT-O

http://www.irit.fr/recherches/MELODI/ontologies/IoT-O

IoT-O is a core domain Internet of Things ontology. It is intended to model horizontal knowledge about IoT systems and applications, and to be extended with vertical, application specific knowledge. It is constituted of different modules : - A sensing module, based on W3C's SSN (http://purl.oclc.org/NET/ssnx/ssn) - An acting module, based on SAN (http://www.irit.fr/recherches/MELODI/ontologies/SAN) - A service module, based on MSM (http://iserve.kmi.open.ac.uk/ns/msm/msm-2014-09-03.rdf) and hRest (http://www.wsmo.org/ns/hrests) - A lifecycle module, based on a lifecycle vocabulary (http://vocab.org/lifecycle/schema-20080603.rdf) and an iot-specific extension (http://www.irit.fr/recherches/MELODI/ontologies/IoT-Lifecycle) - An energy module, based on powerOnt (ttp://elite.polito.it/ontologies/poweront.owl) IoT-O developping team also contributes to the oneM2M IoT interoperability standard. @en

SAN - SAN (Semantic Actuator Network)

http://www.irit.fr/recherches/MELODI/ontologies/SAN

This ontology is intended to describe Semantic Actuator Networks, as a counterpoint to SSN definition of Semantic Sensor Networks. An actuator is a physical device having an effect on the world (see Actuator for more information). It is worth noticing that some concepts are imported from SSN, but not SSN as a whole. This is a design choice intended to separate as much as possible the definition on actuator from the definition of sensor, which are completely different concept that can be used independantly from each other. This ontology is used as a ontological module in IoT-O ontology. @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

oum - Ontology of units of Measure (OM)

http://www.ontology-of-units-of-measure.org/resource/om-2/

The Ontology of units of Measure (OM) 2.0 models concepts and relations important to scientific research. It has a strong focus on units, quantities, measurements, and dimensions. @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

vin - Wine Ontology

http://www.w3.org/TR/2003/PR-owl-guide-20031209/wine

This ontology was used as example in the first OWL Recommendation (February 2004) @en

fowl - Food Ontology in OWL

http://www.w3.org/TR/2003/PR-owl-guide-20031215/food

Along with Wine Ontology, was used as example in the first OWL Recommendation (February 2004) @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

ssn - Semantic Sensor Network Ontology

http://www.w3.org/ns/ssn/

This ontology describes sensors, actuators and observations, and related concepts. It does not describe domain concepts, time, locations, etc. these are intended to be included from other ontologies via OWL imports. @en

Patterns?:	type name both
Flatten?:	yes no

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