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The Denotative Description module encodes the characteristics of a cultural property, as detectable and/or detected during the cataloguing process and measurable according to a reference system. Examples include measurements e.g. length, constituting materials e.g. clay, employed techniques e.g. melting, conservation status e.g. good, decent, bad. In this module are used as template the following Ontology Design Patterns: - http://www.ontologydesignpatterns.org/cp/owl/collectionentity.owl - http://www.ontologydesignpatterns.org/cp/owl/classification.owl - http://www.ontologydesignpatterns.org/cp/owl/descriptionandsituation.owl - http://www.ontologydesignpatterns.org/cp/owl/situation.owl @en
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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
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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
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semiotics- A content ontology pattern that encodes a basic semiotic theory, by reusing the situation pattern.A content ontology pattern that encodes a basic semiotic theory, by reusing the situation pattern. The basic classes are: Expression, Meaning, Reference (the semiotic triangle), LinguisticAct (for the pragmatics), and Agent. A linguistic act is said to be context for expressions, with their meanings and references, and agents involved. Based on this pattern, several specific linguistic acts, such as 'tagging', 'translating', 'defining', 'formalizing', etc. can be defined, so constituting a formal vocabulary for a pragmatic web. @en
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The DOLCE+DnS Ultralite ontology. It is a simplification of some parts of the DOLCE Lite-Plus library (cf. http://www.ontologydesignpatterns.org/ont/dul/DLP397.owl) @en
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An ontology of information objects, encodings and realizations, as a plugin to DOLCE-Ultralite @en
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The generic BBC ontology for people, places,events, organisations, themes which represent things that make sense across the BBC. This model is meant to be generic enough, and allow clients (domain experts) link their own concepts @en
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This is the encoding approved by CRM-SIG in the meeting 21/11/2012 as the official current version for the CIDOC CRM namespace. Note that this is NOT a definition of the CIDOC CRM, but an encoding derived from the authoritative release of the CIDOC CRM v5.0.4 on http://www.cidoc-crm.org/official_release_cidoc.html @en
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The Common European Research Information Format (CERIF) Ontology Specification provides basic concepts and properties for describing research information as semantic data. @en
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domOS Common Ontology (dCO) represents a common information model to share a unified understanding for humans and machines and to ensure semantic interoperability in a heterogeneous IoT infrastructure. This ontology allows the decoupling of the infrastructure from the software services and applications. @en
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SAREF4INMA is an extension of SAREF for the industry and manufacturing domain. SAREF4INMA focuses on extending SAREF for the industry and manufacturing domain to solve the lack of interoperability between various types of production equipment that produce items in a factory and, once outside the factory, between different organizations in the value chain to uniquely track back the produced items to the corresponding production equipment, batches, material and precise time in which they were manufactured. SAREF4INMA is specified and published by ETSI in the TS 103 410-5 associated to this ontology file. SAREF4INMA was created to be aligned with related initiatives in the smart industry and manufacturing domain in terms of modelling and standardization, such as the Reference Architecture Model for Industry 4.0 (RAMI), which combines several standards used by the various national initiatives in Europe that support digitalization in manufacturing. The full list of use cases, standards and requirements that guided the creation of SAREF4INMA are described in the associated ETSI TR 103 507. @en
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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
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OpenVocab is a community maintained vocabulary intended for use on the Semantic Web, ideal for properties and classes that don't warrant the effort of creating or maintaining a full schema. OpenVocab allows anyone to create and modify vocabulary terms using their web browser. @en
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An ontology defining weather-related concepts and properties being relevant to smart home systems that provide predictive control. @en
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Ontology for Open Fridge project @en