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opmw - The OPMW Ontology http://www.opmw.org/ontology/ OPMW is a OPMV profile to model the executions and definitions of scientific workflows. @en -
msr - Measurement Ontology http://www.telegraphis.net/ontology/measurement/measurement# The Measurement Ontology is an ontology in which measurements may be rendered @en -
mls - Machine Learning Schema http://www.w3.org/ns/mls ML-Schema is a collaborative, community effort with a mission to develop, maintain, and promote standard schemas for data mining and machine learning algorithms, datasets, and experiments @en -
ssn - Semantic Sensor Network Ontology http://www.w3.org/ns/ssn/ This ontology describes sensors, actuators and observations, and related concepts. It does not describe domain concepts, time, locations, etc. these are intended to be included from other ontologies via OWL imports. @en -
tfo - Transformation Functions Ontology https://privatealpha.com/ontology/transformation/1# This document describes functions which transform HTTP representations, i.e., the actual literal payloads of HTTP messages. @en -
edifact-o - EDIFACT Ontology https://purl.org/edifact/ontology An Ontology for representing EDIFACT Messages. @en -
cem - Crime Event Model (CEM) https://w3id.org/CEMontology The Crime Event Model is an ontology for the representation of crime events extracted from local newspapers. It could be employed for Crime Analysis purposes: extracting crime information from newspapers and enriching them with proper machine-readable semantics is a critical task to help law enforcement agencies at preventing crime, supporting criminal investigations and evaluating the action of law enforcement agencies themselves. The model is based on the fundamental 5W1H journalistic questions, that are Who?, What?, When?, Where?, Why? and How?. Another important requirement was the attempt to exploit existing knowledge graphs and ontologies such as the Simple Event Model (SEM) Ontology and the Schema.org data model for interoperability and interconnection. @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 -
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 -
dio - The Design Intent Ontology https://w3id.org/dio The scope of the DIO is the domain of design intent or design rationale that needs to be documented while undertaking the design of any artifact @en -
eeo - Experimental Evaluation Ontology https://w3id.org/eeo An ontology to describe experiments, evaluations and their relation. @en -
puv - Parameter Usage Vocabulary ontology https://w3id.org/env/puv A simple ontology which implements the Parameter Usage Vocabulary semantic model, as described at https://github.com/nvs-vocabs/P01 @en -
eppl - The EP-Plan ontology https://w3id.org/ep-plan PROV extension for linking Plans and parts of plans to their respective executions. @en -
chameo - CHAracterisation MEthodology Ontology https://w3id.org/emmo/domain/characterisation-methodology/chameo CHAMEO is a domain ontology designed to model the common aspects across the different characterisation techniques and methodologies. @en -
ishi - Ishikawa diagram ontology https://w3id.org/ishikawa-diagram-ontology The Ishikawa ontology aims to provide a data and view model to manage data encoded in Ishikawa diagrams which are also known as fishbone or cause and effect diagram (CED). Ishikawa diagrams result from (iterative) workshops. Thus, the ontology includes the basic modelling of workshops to create Ishikawa diagrams. @en