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
foo- Forest Observatory Ontology (FOO)
https://w3id.org/def/foo#
This ontology describes wildlife observations generated by sensors. @en
dpv- Data Privacy Vocabulary (DPV)
https://w3id.org/dpv
The Data Privacy Vocabulary (DPV) provides terms (classes and properties) to represent information about processing of personal data, for example - purposes, processing operations, personal data, technical and organisational measures. @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
ecfo- The Emission Conversion Factor Ontology
https://w3id.org/ecfo
This ontology defines a vocabulary for describing carbon emission conversion factors (CF). These are values typically used to calculate carbon emissions where the CF multiplies a quantified estimate of the energy (e.g., kWh of electricity, litters of fuel, etc.) used by a particular activity. @en
eeo- Experimental Evaluation Ontology
https://w3id.org/eeo
An ontology to describe experiments, evaluations and their relation. @en
CHAMEO is a domain ontology designed to model the common aspects across the different characterisation techniques and methodologies. @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
iadopt- I-ADOPT Framework ontology
https://w3id.org/iadopt/ont
The I-ADOPT Framework ontology @en
icon- ICON Ontology
https://w3id.org/icon/ontology/
The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. @en
ifc- IFC4_ADD1
https://w3id.org/ifc/IFC4_ADD1
OWL ontology for the IFC conceptual data schema and exchange file format for Building Information Model (BIM) data @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
loin- Level of Information Need (LOIN) Ontology
https://w3id.org/loin
The Level of Information Need (LOIN) Ontology is defined for specifying information requirements for delivery of data in a buildings' life cycle. The LOIN ontology is based on the standard BS EN 17412-1 (2020). Furthermore, it is extended with vocabulary for connecing Information Delivery Specifications (IDS) and Information containers for linked document delivery (ICDD) as per ISO 21597-1 (2020). @en
opm- OPM: Ontology for Property Management
https://w3id.org/opm
The Ontology for Property Management (OPM) extends the concepts introduced in the Smart Energy Aware Systems (SEAS) Evaluations ontology. @en