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s4city - SAREF extension for Smart City https://saref.etsi.org/saref4city/ This ontology extends the SAREF ontology for the Smart City domain. This work has been developed in the context of the STF 534 (https://portal.etsi.org/STF/STFs/STFHomePages/STF534.aspx), which was established with the goal to create three SAREF extensions, one of them for the Smart City domain. @en -
bci - Brain Computing Interface (BCI) Ontology https://w3id.org/BCI-ontology The BCI ontology specifies a foundational metadata model set for real-world multimodal Brain Computing Interface (BCI) data capture activities. The ontology defines a minimalist and simple abstract metadata foundational model for real-world BCI applications that monitors human activity in any scenario. BCI multimodal domain applications are encouraged to extend and use this ontology in their implementations. @en -
CPSWatch - The Cyber Physical System Watch Ontology https://w3id.org/CPSWatch This ontology defines a vocabulary for describing cyber physical systems for monitoring purpose. It contains two main concepts: CPSWatch#MonitoredSystem that is a top level description of a System that is modeled and CPSWatch#MonitoringSensor that is a top level description of a sensor used to monitor the CPSWatch#MonitoredSystem. @en -
r-arco - ArCo Ontology (ArCo network) https://w3id.org/arco/ontology/arco The ArCo module is the root of the network ArCo - Architecture of Knowledge. It imports all the other modules and models top-level distinctions from the cultural heritage domain. @en -
gsn - OntoGSN https://w3id.org/OntoGSN/ontology OntoGSN is an ontology for managing assurance cases in the Goal Structuring Notation (GSN). The goal of the ontology is to help users in linking the elements of their cases - claims and evidence - with the internationalized resource identifiers (IRIs) of represented concepts, events and data, and in evaluating the validity of their argument. @en -
cdesc - Context Description Ontology (ArCo network) https://w3id.org/arco/ontology/context-description The Context Description module includes models for the context of a cultural property, in a broad sense: agents (e.g.: author, collector, copyright holder), objects (e.g.: inventories, bibliography, protective measures, other cultural properties, collections etc.), activities (e.g.: surveys, conservation interventions), situations (e.g.: commission, coin issuance, estimate, legal situation) related, involved or involving the cultural property. Thus it represents attributes that do not result from a measurement of features in a cultural property, but are associated with it. @en -
ddesc - Denotative Description Ontology (ArCo network) https://w3id.org/arco/ontology/denotative-description 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 -
citedcat - CiteDCAT-AP Vocabulary https://w3id.org/citedcat-ap CiteDCAT-AP is an extension of the DCAT application profile for data portals in Europe (DCAT-AP) for describing resources documented by using the DataCite metadata schema - the de facto standard for data citation, and used across scientific disciplines. Its basic use case is to make research data searchable on general data portals, thereby bridging the gap between scientific and public sector information. For this purpose, CiteDCAT-AP provides an RDF vocabulary and the corresponding RDF syntax binding for the metadata elements defined in DataCite. @en -
cto - CTO: Construction Tasks Ontology https://w3id.org/cto The Construction Tasks Ontology (CTO) describes tasks operating on construction elements, spatial zones and/or damages. The tasks are either planned or executed depending on the dataset metadata context of the dataset its used in. Five different types of tasks are defined: instalment, removal, modification, repair and inspection. Consequences of tasks on the dataset, i.e. added and/or deleted triples, are modeled using reified statements. The tasks can link to a reified statement using the CTO relations. @en -
dba - Description Banking Archives Ontology https://w3id.org/dba/ontology/ The ontology, presented here in a beta version, is based on the analysis of the documentation and descriptive requirements of the Intesa Sanpaolo Historical Archive and is intended to describe the content of historical banking documents and of some of the activities carried out by the bank, particularly in relation to third parties (loans, charity donations, seizures and confiscations, etc.), which involve the initiation of processes or the production of documents. The focal point of the descriptive model is the bank - an entity that initiates different types of processes, whose common feature is that they are structured into various stages/events - and the relationship between the documentation produced and the information it contains. In fact, this ontology is based on information collected from archived documents which describe various processes and activities carried out by banking institutions: the starting point for its construction were the inventories and databases of documentation stored in the Historical Archive which was produced by the various banks that over time were merged into Intesa Sanpaolo. The ontology was created to provide a sufficiently abstract representation and model for describing the processes of various banking activities from which the documentation was produced - from a company's request for financing and its outcome, to the preparation of seizure, confiscation and asset restitution filings, to charitable contributions, just to mention a few examples - reusing models that were already well established and widely used. The structure of the proposed ontology is in fact intended to adapt to the various activities, described in the archive files that a banking institution performs in relation to third parties. The proposed ontology is therefore not an ontology on banking activity in general, but on the relationship between this activity and the documents that are produced. Moreover, its objective is not to describe the documents in the strict sense of the term, for which reference is made to OAD ontology. The purpose of this project is to lay the initial, and fundamental, building blocks for describing the complexity, variety, and breadth of the domain of archiving bank records and the data they contain. Despite having data from different banks relating to different activities and having already made arrangements for the integration of third-party datasets and ontologies, before completing the project we will have to wait for the processing of representations based on other types of documents and banking institutions, including non-Italian ones. @en -
dco - domOS Common Ontology https://w3id.org/dco 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 -
cmd - Compound Measure Description https://w3id.org/cmd# This document is a vocabulary to describe compound measures, i.e. measures with several metric or item that are organized with serveral dimensions. The description of such a measure relies on a Tree-Structure of Requirement (TSoR): a set of requirements structured hierarchicaly with analysis element. A TSoR represents the main measure. Several information may be added to explicitely indicate how the overall score on the measure should be calculated based on the hierarchy, relative importance of the node of the hierarchy and an aggregation function. The measure can be described completely and unambiguously from the organisation to the requirements and the implementation. @en -
cocoon - Cloud Computing Services Ontology https://w3id.org/cocoon/v1.0 Simple ontology for Cloud Computing Services. This ontology allows to define model of prices used in large cloud computing providers such as Google, Amazon, Azure, etc., including options for regions, type of instances, prices specification, etc. @en -
och - OWL Change Ontology https://w3id.org/def/och# An ontology for describing changes between OWL ontology versions @en -
dsd - Description of a Data Source https://w3id.org/dsd To ensure comparability between schemas from different data models, the Description of a Data Source (DSD) vocabulary has been developed. @en