PSL is being incorporated into the TUpper ontology as Part 4 of ISO 21838 (Top Level Ontologies). In particular, TUpper extends PSL with modules for physical objects, location, and units of measure, thus addressing the shortcomings of using PSL alone. In these notes, we summarize various aspects of PSL and TUpper with respect to the IOF selection criteria for a foundational ontology.
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.
This document specifies the structure of an ontology for a fine-grained description of the expressive power of corpus query languages (CQLs) in terms of search needs. The ontology consists of three interrelated taxonomies of concepts: the CQLF metamodel (a formalization of ISO24623-1); the expressive power taxonomy, which describes different facets of the expressive power of CQLs; and a taxonomy of CQLs. This document specifies: a) the taxonomy of the CQLF metamodel; b) the topmost layer of the expressive power taxonomy (whose concepts are called functionalities); c) the structure of the layers of the expressive power taxonomy and the relationships between them, in the form of subsumption assertions; d) the formalization of the linkage between the CQL taxonomy and the expressive power taxonomy, in the form of positive and negative conformance statements. This document does not define the entire contents of the ontology (see Clause4).
ISO/IEC 30140-2:20017(E) This part of ISO/IEC 30140 provides an underwater acoustic sensor network (UWASN) conceptual model by identifying and defining three domains (application domain, network domain and UWASN domain). It also provides multiple reference architecture views consistent with the requirements defined in ISO/IEC 30140-1 (systems reference architecture, communication reference architecture and information reference architecture). For each view, related physical and functional entities are described.
ISO/IEC 30140-1:2018(E) This part of ISO/IEC 30140 provides a general overview of underwater acoustic sensor networks (UWASN). It describes their main characteristics in terms of the effects of propagation variability and analyses the main differences with respect to terrestrial networks. It further identifies the specificities of UWASN and derives some specific and general requirements for these networks.
ISO/IEC 29182-7:2015 provides a general overview and guidelines for achieving interoperability between sensor network services and related entities in a heterogeneous sensor network.
The Allotrope Foundation- Ontologies (-AFO-) is a curated collection of defined terms prepared by Allotrope Foundation. The AFO is collectively licensed under the Creative Commons Attribution License (CC-BY). However, the collection includes terms that are from or based on third party sources, as identified in the attribution file within the AFO software release package, as updated from time-to-time. Such individual terms may be subject to subject to other licenses specified by the source (e.g., terms from the CHMO or chemical methods ontology are also under the CC-BY, while terms based on Wikipedia entries are subject to CC BY-SA).
The Multi-scale Multi-step ontology (MS-O) is an ontology to describe transformation processes., Multi-scale Multi-step ontology (MS-O) est une ontologie permettant de d-crire des processus de transformation.
FALDO is the Feature Annotation Location Description Ontology. It is a simple ontology to describe sequence feature positions and regions as found in GFF3, DBBJ, EMBL, GenBank files, UniProt, and many other bioinformatics resources. The aim of this ontology is to describe the position of a sequence region or a feature. It does not aim to describe features or regions itself, but instead depends on resources such as the Sequence Ontology or the UniProt core ontolgy.