A large number of standards (languages, vocabularies, ontologies, etc.) are used in the field of energy in the Helmholtz Association. It is recommended to work with the standards presented in the following alphabetical list.

The Energy Hub is always interested in hearing about how you are working with these standards and would appreciate hearing about standards that are not yet listed here. So feel free to get in touch with us about this!

AEMET Network of Ontologies

The AEMET Network of Ontologies is an ontology for (Spanish) weather data.

 SSN and the W3C OWL Time Ontology are imported.

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Basic Formal Ontology (BFO)

The Basic Formal Ontology (BFO) is a small, upper level ontology that is designed for use in supporting information retrieval, analysis and integration in scientific and other domains. BFO is a genuine upper ontology.

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Common Information Model (CIM)

The Common Information Model (CIM) comprises the standards IEC 61970 for power system modeling and energy utility data exchange, IEC 61968 for modeling further aspects of power systems, and IEC 62325 for modeling of energy markets.

The CIM User Group (CIMug) exists since 2005 and provides a forum for stakeholders with regard to CIM.

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Data exchange format for 3D virtual city models.

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CityGML - ADE for metadata

Allows storing metadata for existing objects in CityGML as well as in other ADEs.

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The CityJSON Community Standard of the Open Geospatial Consortium (OGC) maps all CityGML modules to JSON objects.

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COSEM - IEC 62056

IEC 62056 contains standards for data exchange in electricity meters. These are the international standard versions of the DLMS/COSEM specification. DLMS stands for Device Language Message Specification; COSEM stands for Companion Specification for Energy Metering.

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DataCite Schema

The DataCite metadata schema contains metadata properties for identifying a resource for citation and retrieval purposes.

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Data Catalog Vocabulary

An OWL2 ontology written in RDF schema. Classes and their properties are each tagged with an Internationalized Resource Identifier.

DCAT is intended to enable interoperability between data catalogs on the Web.

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Digital Object Identifier (DOI)

DOIs are unique, persistent identifiers that store metadata according to the DataCite schema . One or more URLs for a DOI can be stored in a database. DOIs are standard according to ISO 26324.

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Ontology for smart devices in the Internet of Things

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Descriptive Ontology for Linguistic and Cognitive Engineering

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Dublin Core

Dublin Core metadata is a bibliographic data format, a basic set of terms used to describe web resources.

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European Materials Modelling Ontology / Elementary Multiperspective Material Ontology:

Development started from a description of the pysical world from physics, material sciences, and other applied sciences.

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Central Information System for Energy Research Funding

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Environment Ontology

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An ontology for people: machine-readable ontology describing persons, their activities and their relations to other people and objects.

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The ICAT project provides a metadata catalog and other components (effectively an ontology) to support data management for experiments at large experimental facilities.

CSMD: Core Scientific Metadata; an ICAT underlying semantic model with generic character with respect to the scientific disciplines for whose experimental data it is applicable. Among others, it is used in the material sciences.

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IEC 61850

Series of standards of the International Electrotechnical Commission (IEC) for a data transmission protocol in medium- and high-voltage switchgear.

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Industry Foundation Classes (IFC)

An open standard for describing buildings and infrastructure.

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ISO 15926

"Oil and Gas Ontology":

Industrial automation systems and integration - Integration of life-cycle data for process plants including oil and gas production facilities

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ISO 19115

International Organization for Standardization (ISO) series of standards for the description of geographic information.

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Wind energy ontology

Open Energy Platform (OEP)

The Open Energy Family aims to ensure quality, transparency and reproducibility in energy system research. It is a collection of various tools and information that support working with energy related data. As it is a collaborative community effort, everything is openly developed and, therefore, constantly evolving.

The Open Energy Ontology (OEO) aims on standardizing terms in energy system analysis and thus simplifying collaboration with different energy system models and the exchange of data and scenarios.

With Open Energy Metadata (OEMetadata) it contains an energy metadata standard that is based on the FAIR principles.

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The ORCID ID is assigned by the ORCID organization, to which scientific publishers and research institutes belong. They are used to uniquely identify scientific authors with a predominantly numeric code.

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OWL2 ontology for data provenance. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts.

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QUDT is a set of ontologies developed by NASA that provides a unified model of measured quantities, their dimensions and units, and instances of data with specified quantities, units, and values.

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Ontology of power-consuming smart (home/industry) appliances. The starting point of SAREF is the concept of Device (e.g., a switch). Devices are tangible objects designed to accomplish one or more functions in households, common public buildings or offices.

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SEAS: Smart Energy Aware Systems

Ontology that imports various others from the energy sector - including photovoltaics.

Links to SSN and QUDT

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SEMANCO Energy Model - Urban Energy Ontology

An energy information system ontology

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Sensor Observation Service (SOS)

SOS is a standardized web service of the Open Geospatial Consortium (OGC) for sensor data. With it, measurement data can be transmitted as time series as well as descriptions of the sensors themselves.

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Semantic Sensor Network Ontology (SSN)

The Semantic Sensor Network (SSN) ontology describes sensors and their measured values, as well as other entities in the field of sensor networks.

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SKOS is an area of work developing specifications and standards to support the use of knowledge organization systems (KOS) such as thesauri, classification schemes, subject heading systems and taxonomies within the framework of the Semantic Web.

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The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal but lightweight general-purpose specification for modellingthe interaction between the entities involved in the acts of observation, actuation, and sampling.

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Suggested Upper Merged Ontology

SUMO belongs to the IEEE is free (GNU General Public License)

Several extensions of SUMO handle domains of fundamental importance

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W3C OWL Time Ontology

Ontology of temporal concepts

Describes the temporal properties of resources

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Weather Ontology

A weather ontology for predictive control in smart homes.

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