Standard

This document describes Basic Formal Ontology (BFO), which is an ontology that is conformant to the requirements specified for top-level ontologies inISO/IEC218381. It describes BFO as a resource designed to support the interchange of information among heterogeneous information systems. The following are within the scope of this document: definitions of BFO-2020 terms and relations; axiomatizations of BFO-2020 in OWL2 and CL; documentation of the conformity of BFO-2020 to the requirements specified for top-level ontologies inISO/IEC218381; specification of the requirements for a domain ontology if it is to serve as a module in a suite of ontologies in which BFO serves as top-level ontology hub by providing a starting point for the introduction of the most general terms in those domain ontologies which are its nearest neighbours within the suite; specification of the role played by the terms in BFO in the formulation of definitions and axioms in ontologies at lower levels that conform to BFO. The following are outside the scope of this document: specification of ontology languages, including the languages RDF, OWL, and CL standardly used in ontology development; specification of methods for reasoning with ontologies; specification of translators between the notations of ontologies developed in different ontology languages.

iiRDS is a standard for the delivery of intelligent information in the scope of user assistance for products. The information is provided with the product for the purpose of assisting the users in setting up, operating, and maintaining the product. Intelligent information is defined as technical documentation content enriched with metadata. iiRDS consists of a vocabulary for the metadata provided with the content (RDF Schema) and a package format for the exchange of packages.

The present document identifies the requirements that should characterise an ontology for the semantic conceptualisation of information related to IP traffic measurements. The requirements are obtained through the analysis of use cases spanning across a variety of related application categories and domains of interest, as well as the consideration of additional qualitative needs, such as the protection of personal data. Additional inputs arise from user experience, as well as the 'GS/MOI-010' Work Item study, entitled "Report on information models for IP traffic measurement" . The general difficulty of setting limits to an ontology, taking concepts from outside is also dealt within the present document that states MOI focus on IP traffic measurement concepts and let's side ontologies dealing with other subjects, an easy way to link. Thus a rather practical approach to define MOI ontology will be laid so that further QoS, traffic monitoring and Internet governance issues can be built on top of it by means of semantic tools.

The Smart Applications REFerence ontology (SAREF) is intended to enable interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of the global digital market.

The Thing Description (TD) ontology is an RDF axiomatization of the TD information model, one of the building blocks of the Web of Things (WoT). Besides providing an alternative to the standard JSON representation format for TD documents, the TD ontology can also be used to process contextual information on Things and for alignments with other WoT-related ontologies.

This document provides the basic concepts for IoT systems semantic interoperability, as described in the facet model of ISO/IEC 21823-1, including: - requirements of the core ontologies for semantic interoperability; - best practices and guidance on how to use ontologies and to develop domain-specific applications, including the need to allow for extensibility and connection to external ontologies; - cross-domain specification and formalization of ontologies to provide harmonized utilization of existing ontologies; - relevant IoT ontologies along with comparative study of the characteristics and approaches in terms of modularity, extensibility, reusability, scalability, interoperability with upper ontologies, and so on, and; - use cases and service scenarios that exhibit necessities and requirements of semantic interoperability.

The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given.

SAREF4SYST defines Systems, Connections between systems, and Connection Points at which systems may be connected.

SEAS ontology describes energy systems and their interactions.

ISO 10218-1:2011 specifies requirements and guidelines for the inherent safe design, protective measures and information for use of industrial robots. It describes basic hazards associated with robots and provides requirements to eliminate, or adequately reduce, the risks associated with these hazards.ISO 10218-1:2011 does not address the robot as a complete machine. Noise emission is generally not considered a significant hazard of the robot alone, and consequently noise is excluded from the scope of ISO 10218-1:2011.ISO 10218-1:2011 does not apply to non‑industrial robots, although the safety principles established in ISO 10218 can be utilized for these other robots.

TR 506 explains how to take the 2012 R15.06 standard into account for existing robot systems, rather than the all-new robot installation that is the primary topic of the 2012 R15.06. The TR 506 document as published in 2014 continues to be the current active version.

The purpose of this technical report is to provide interpretation of certain provisions of ANSI/RIA R15.06-1999 and to present examples of current industry practices for teaching (programming) multiple industrial robots that share a common safeguarded space. This information is in addition to the requirements contained in ANSI/RIA R15.06-1999 and the committee considers the examples to comply with the safety standard.