A name of the agent.
name
Delegation is the assignment of authority and responsibility to an agent (by itself or by another agent) to carry out a specific activity as a delegate or representative.
acted on behalf of
A relation between an algorithm learning method and the category of algorithm learning methods that it belongs to.
has learning method type
A relation between an algorithm and the category of algorithms that belongs to.
has algorithm type
The name assigned to the resource.
title
A bibliographic reference for the resource.
bibliographic citation
A related resource that is referenced, cited, or otherwise pointed to by the described resource.
references
The file format, physical medium, or dimensions of the resource.
format
The most recent date on which the Catalogue entry was changed or modified.
modification date
Version number of the description. '1' for original version.
description version
A link to the Dataset, Data service or Catalog described in the record.
primary topic
A free-text account of the record.
description
A Dataset that is part of the Catalogue.
dataset
A Catalogue Record that is part of the Catalogue.
record
The date of formal issuance (e.g., publication) of the Catalogue.
release date
A keyword or tag describing the resource.
keyword
An entity (organisation) responsible for making the Catalogue available.
publisher
The most recent date on which the Catalogue was modified.
A free-text account of the Catalogue.
An entity responsible for the creation of the Catalogue.
creator
A web page that acts as the main page for the Catalogue.
homepage
A licence under which the Catalogue can be used or reused.
licence
A unique identifier of the resource being described or cataloged.
identifier
A site or end-point (Data Service) that is listed in the Catalogue.
service
A name given to the Catalogue.
A lower case hexadecimal encoded digest value produced using a specific algorithm.
checksum value
The algorithm used to produce the subject Checksum.
algorithm
Settings for a dataset that determine who can access or view it. Options typically include 'Everyone', 'All my friends', 'Only me', or specific user-defined circles.
visibility
Description of the resource.
An entity responsible for uploading the resource.
has uploader
Date of creation of the resource.
creation date
An unambiguous identifier for the resource.
A name assigned to the resource.
The library associated with the computer infrastructure.
has library
The hardware associated with the computer infrastructure.
has hardware
An explanation of the quality type.
A collection of data that this data service can distribute.
serves dataset
The root location or primary endpoint of the service (an IRI).
endpoint URL
A model that this data service can distribute.
serves model
A name given to the Data Service.
A geographic region that is covered by the Dataset.
geographical coverage
The stage of the dataset in the context of the publication process.
status
Information that indicates whether the Dataset is publicly accessible, has access restrictions or is not public.
access rights
The version indicator (name or identifier) of a resource.
version
An activity that generated, or provides the business context for, the creation of the dataset.
was generated by
User-provided version label, which can be a date, hash, or other identifier relevant to the user.
version label
Method used to collect the data, provided by the uploader.
collection method
A language of the Dataset.
language
An available Distribution for the Dataset.
dataset distribution
An entity responsible for making contributions to the dataset.
contributor
A web page that provides access to the Dataset, its Distributions and/or additional information.
landing page
A type of the Dataset.
type
The date the data was originally collected, given by the uploader.
collection date
A related resource that references, cites, or otherwise points to the dataset.
is referenced by
A related Dataset that is a version, edition, or adaptation of the described Dataset.
has version
The date of formal issuance (e.g., publication) of the Dataset.
General description of the data processing involved in transforming the acquired data into training, testing, and validation data for the model, such as cleaning (e.g. filtering out irrelevant content such as advertisements), normalisation (e.g. tokenizing), augmentation (e.g. back-translation).
curation method
A keyword or tag describing the Dataset.
An entity (organisation) responsible for making the resource available.
A free-text account of the Dataset.
An entity responsible for producing the Dataset.
A documented trail that accounts for the origin of the data.
data provenance
A category of the Dataset.
theme
A related Dataset of which the described Dataset is a version, edition, or adaptation.
is version of
The main identifier for the Dataset, e.g. the URI or other unique identifier in the context of the Catalogue.
A description of any methods implemented in data acquisition or processing, if any, to address the prevalence of identifiable biases in the training data.
bias method
A name given to the Dataset.
A description of any methods implemented in data acquisition or processing, if any, to detect the presence of unsuitable data sources considering the model's intended uses, including but not limited to illegal content, child sexual abuse material (CSAM), non-consensual intimate imagery (NCII), and personal data leading to its unlawful processing.
unsuitability method
The media type of the Distribution as defined in the official register of media types managed by IANA.
media type
The attribute that represents the row-id column, if present in the dataset.
row ID attribute
Warnings while processing the dataset.
processing warning
An established schema to which the described Distribution conforms.
linked schemas
A data service that gives access to the distribution of the dataset.
access service
The attribute or column being part of a distribution.
has feature
A URL that is a direct link to a downloadable file in a given format.
download URL
A language used in the Distribution.
The total count of individual data entries or observations contained.
number of datapoints
The policy expressing the rights associated with the distribution if using the ODRL vocabulary.
has policy
The size of a Distribution in bytes.
byte size
Indicates association with Data (may or may not be personal).
has data
A mechanism that can be used to verify that the contents of a distribution have not changed.
checksum
A URL that gives access to a Distribution of the Dataset.
access URL
The file format of the Distribution.
Metrics that can be performed to assess the quality of any kind of resource (e.g., a dataset, a linkset, a graph, a set of triples). However, in the DQV context, it is generally expected to be used in statements in which subjects are instances of dcat:Dataset or dcat:Distribution.
has quality measurement
Date of processing.
processing date
Errors discovered while processing the dataset.
processing error
The primary attribute intended for analysis or processing, if applicable.
default target attribute
A licence under which the Distribution is made available.
A name given to the Distribution.
Attributes that should be excluded in modelling, such as identifiers and indexes.
ignore attribute
The number of downloads of the machine learning model.
download
The number of likes the machine learning model received.
like
The consumed power.
power consumption
The methodology with which the resource was measured.
measurement methodology
The emitted carbon.
carbon emitted
The configured setting.
has parameter
A classification of the resource.
The split that is used for the estimation procedure.
has split
value
value good
implementation
value bad
sample
The number of the repeat in the outer cross-validation.
repeat
stdev
has flow
interval start
sample size
The result of evaluation.
label
For composite evaluation measures (e.g. per-class measures, confusion matrix), a string (JSON) representation of the evaluation.
array data
interval end
The number of the fold in the inner cross-validation.
fold
An explanation of the attribute.
The url of the file to be downloaded.
url
The data type of the parameter.
The default value of the parameter.
default value
recommended range
The libraries that a flow depends on.
has dependency
The version of the flow.
has flow parameter
custom name
The time that the flow was uploaded.
uploaded
The version of the flow, as defined by the uploader, for reference.The version of the flow, as defined by the uploader, for reference.
external version
class name
The origin or cause of the risk.
source
The nature or genre of the resource.
An account of the resource.
The extent of the damage resulting from an event occurring.
severity
The inherent characteristics of the risk.
nature
The likelihood that a given event will occur.
probability
A name associated to the risk.
The action of reducing the likelihood or severity of the risk.
mitigation
The library that is executed by this file.
is executed by
Version of the resource.
A licence under which the Library is made available.
The repository associated.
has repository
The validation dataset used to fine-tune the machine learning model.
validated on
The prescribed application of the model.
intended use
A general description of the main steps or stages involved in the training process, including training methodologies and techniques, the key design choices, assumptions made and what the model is designed to optimise for, and the relevance of different parameters, as applicable.
design specifications
An image or logo of the model.
logo
A description of the methodologies used.
training methodologies
A short description of a machine learning model.
short description
A description of the evaluation strategies used.
evaluation strategies
The model from which this model has been fine tuned.
fine tuned from
The current version of the model.
Statistics resulting of user engagement.
has engagement
created
A language of the resource.
An entity responsible for making contributions to the resource.
A description of the evaluation against the validation dataset.
evaluation results
A description of the possible biases affecting the overall output of the model.
bias
The reference to a paper.
has bibliographic reference
An object property linking something to the funding that funds it (i.e. that finances or pays for it), or to the funding agency providing that funding. This flexibility is given because of alternative usages of the English word 'funds'.
is funded by
The total number of parameters of the model.
total number of parameters
The model that is variant of this model.
has variation
The benchmarks used to evaluate this model.
has benchmark
The date a model is released.
The testing dataset used to evaluate the machine learning model.
tested on
A description of the training process.
training process
The modality of the input of the model.
has input modality
A tag describing the resource.
A method of distribution through which the model has been made or can be made available to downstream providers.
method of distribution
The dataset on which a machine learning model is executed.
ran on
An entity responsible for making the resource.
The limited capabilities of the model.
limitations
A possible risk that can occur.
has risk
A general description of the model architecture, e.g. a transformer architecture.
model architecture
The file in which the model is expressed.
has file
The training dataset used to train the machine learning model.
trained on
Date when the model was placed on the Union market.
placed on market date
An explanation of how to use or deploy the model.
how to use
The predicted dataset generated as output of a machine learning model.
has prediction
The registered user associated to the model.
has registered user
The modality of the output of the model.
has output modality
A detailed description of the measures put in place for the purpose of conducting internal and/or external adversarial testing (e.g. red teaming), model adaptations, including alignment and fine-tuning.
testing description
A natural or legal person, public authority, agency or other body that develops a Machine Learning Model or places it on the market or puts the it into service under its own name or trademark, whether for payment or free of charge.
has provider
The licence under which the resource is made available.
The date the machine learning model was last modified.
modified
The classification of the modality.
classification
The maximum size of the modality.
size
The repository of a paper.
The url or location of the document itself.
has document
A topic of the resource.
subject
A summary of the resource.
abstract
A point or period of time associated with an event in the lifecycle of the resource.
date
The model that is used by a paper or an evaluation.
has model
A name given to the resource.
component
has prediction feature
The engine responsible for extracting the features.
evaluation engine id
The data set of which this observation is a part.
A classification for a quality.
The minimum value of the Quality Measure.
Values computed by metric.
The feature on which the quality is measure on.
feature index
The maximum value of the Quality Measure.
has run
The Algorithm executed by the run.
executes
setup string
has output file prediction
The reference to the flow used in this run.
error message
has output file description
run details
has task
The impact of inferencing the model.
has inferencing impact
Measured or estimated amount of energy used for training.
has training impact
has evaluation
setup Id
A description of the training time.
training time
is applied to
has estimation procedure
has cost matrix
has output
has evaluation measure
has task type
target feature
source data