Standard

This recommendation specifies requirements of machine learning based QoS assurance for the quantum key distribution networks (QKDN). This recommendation first provides an overview of requirements of machine learning based QoS assurance for the QKDN. It describes a functional model of machine learning based QoS assurance and followed by associated high level and functional requirements of machine learning based QoS assurance.

This standard addresses quantum technologies specific terminology and establishes definitions necessary to facilitate clarity of understanding to enable compatibility and interoperability.

The standard covers quantum computing performance metrics for standardizing performance benchmarking of quantum computing hardware and software. These metrics and performance tests include everything necessary to benchmark quantum computers (stand alone and by/for comparison) and to benchmark quantum computers against classical computers using a methodology that accounts for factors such as dedicated solvers.

This trial-use standard defines a standardized method for the design of quantum algorithms. The defined methods apply to any type of algorithm that can be assimilated into quantum primitives and/or quantum applications. The design of the algorithms is done preceding quantum programming.

This document specifies the metamodel that provides a facility to register administrative and evolution information related to ontologies. The metamodel is intended to promote interoperability among application systems, by providing administrative and evolution information related to ontologies, accompanied with standardized ontology repositories that register ontologies themselves in specific languages. This document does not specify the metamodels of ontologies expressed in specific languages and the mappings among them.

ISO/IEC 18384-3:2016 defines a formal ontology for service-oriented architecture (SOA), an architectural style that supports service orientation. The terms defined in this ontology are key terms from the vocabulary in ISO/IEC 18384-1.

ISO/IEC 13250-5:2015 specifies a formal model for subject maps, minimal access functionality and information retrieval from subject maps and a constraint framework governing the interpretation of subject maps. Particular formalisms to constrain subject maps are not covered by this part of ISO/IEC 13250.

This document specifies the metamodel that provides a facility to register administrative and evolution information related to ontologies. The metamodel is intended to promote interoperability among application systems, by providing administrative and evolution information related to ontologies, accompanied with standardized ontology repositories that register ontologies themselves in specific languages. This document does not specify the metamodels of ontologies expressed in specific languages and the mappings among them.

Industrial automation systems and integration

SAREF4CITY is an extension of SAREF for the Smart Cities domain. This extension has been created by investigating resources from potential stakeholders of the ontology, such as standardization bodies, associations, IoT platforms and European projects and initiatives. Taking into account ontologies, data models, standards and datasets provided by the identified stakeholders, a set of requirements were identified and grouped in the following categories: Topology, Administrative Area, City Object, Event, Measurement, Key Performance Indicator, and Public Service.

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.

SEAS ontology describes energy systems and their interactions.