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Current revision ID: 12852

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General description

Name: AlgorithmImplementationExecution
Submitted by: AgnieszkaLawrynowicz, DiegoEsteves, PancePanov, SasoDzeroski, TommasoSoru, JoaquinVanschoren
Also Known As:
Intent: To model algorithm specifications, their implementations and executions, together with parameters of implementations, settings of the parameters for the execution, and inputs the execution consumes (e.g., data) and outputs the execution produces (e.g., models, reports).

General, Software, Software Engineering, Workflow

Competency Questions:
  • Which algorithm is implemented by this implementation?
  • What are the implementations of this algorithm?
  • Which implementation is executed?
  • What are the parameters of this implementation?
  • What are the parameter settings of particular parameters in this execution?
  • What is the input to this implementation execution?
  • What is the output produced by the this implementation execution?
  • What algorithm does this execution realize?
  • What task does this execution achieves?
  • What is the duration of this execution?
  • What is the input this task is defined on?
Solution description: Beloit it is provided the formalization of the pattern in the Web Ontology Language (OWL) in Manchester syntax:

Algorithm SubClassOf InformationEntity
Implementation SubClassOf InformationEntity
Implementation SubClassOf implements some Algorithm
Implementation SubClassOf hasParameter some Parameter
Execution SubClassOf Process
Execution SubClassOf hasInput some ParameterSetting
Execution SubClassOf realizes some Algorithm
Execution SubClassOf achieves some Task
Execution SubClassOf hasDuration some TimeInterval
Parameter SubClassOf InformationEntity
ParameterSetting SubClassOf InformationEntity
ParameterSetting SubClassOf specifiedBy some Parameter
ParameterSetting SubClassOf hasValue some rdfs:Literal
Input SubClassOf InformationEntity
Output SubClassOf InformationEntity
Task SubClassOf InformationEntity
Task SubClassOf definedOn some Input
Top SubClassOf hasInput only Input
Top SubClassOf hasOutput only Output

Reusable OWL Building Block: (0)
Scenarios: Consider a scenario in machine learning (ML) domain. The scenario deals with a machine learning task completion and it is based on an example derived from the OpenML portal (
There is an ML Task :task29 which is a supervised classification task defined on the dataset :credit-a. This task is achieved by the Execution :run100241 which executes the Implementation :wekaLogistic of the Algorithm :logisticRegression.
The Implementation :wekaLogistic has five hyperparameters (Parameter): :wekaLogisticC, :wekaLogisticDoNotCheckCapabilities, :wekaLogisticM, :wekaLogisticOutputDebugInfo, :wekaLogisticR. The values of two of these hyperparameters are set. The hyper parameter :wekaLogisticM has value set to -1 (expressed via the ParameterSetting :wekaLogisticMSetting29), and the hyper parameter :wekaLogisticR that has its value set to "1.0E-8"^^xsd:float (expressed via the ParameterSetting :wekaLogisticRSetting29).
The Execution :run100241 has on Input the :credit-a dataset and the parameter settings and its Output is the ML model :wekaLogisticModel100241.
Known Uses: ML Schema, DMOP, Function Ontology, MEX, OBI, OntoDM
Web References:
Other References:
Examples (OWL files):
Extracted From:
Reengineered From:
Has Components:
Specialization Of:
Related CPs:


The AlgorithmImplementationExecution Content OP locally defines the following ontology elements:

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