Dataset

class mowl.datasets.Dataset(ontology, validation=None, testing=None)[source]

Bases: object

This class represents an mOWL dataset.

Parameters:

ontology (org.semanticweb.owlapi.model.OWLOntology) – The ontology containing the training data of the dataset.
validation (org.semanticweb.owlapi.model.OWLOntology, optional) – The ontology containing the validation data of the dataset, defaults to None.
testing (org.semanticweb.owlapi.model.OWLOntology, optional) – The ontology containing the testing data of the dataset, defaults to None.

Attributes Summary

`class_to_id`	Dictionary mapping `OWLClasses` to integer ids.
`classes`	List of classes in the dataset.
`evaluation_classes`	List of classes used for evaluation.
`individual_to_id`	Dictionary mapping `OWLIndividuals` to integer ids.
`individuals`	List of individuals in the dataset.
`labels`	This method returns labels of entities as a dictionary.
`object_properties`	List of object properties (relations) in the dataset.
`object_property_to_id`	Dictionary mapping `OWLObjectProperties` to integer ids.
`ontology`	Training dataset
`testing`	Testing ontology
`validation`	Validation dataset

Methods Summary

add_axioms(*axioms)

New in version 0.2.0.

Attributes Documentation

class_to_id: Dictionary mapping OWLClasses to integer ids.

classes

List of classes in the dataset. The classes are collected from training, validation and testing ontologies using the OWLAPI method ontology.getClassesInSignature().

Return type:: OWLClasses

evaluation_classes: List of classes used for evaluation. Depending on the dataset, this method could return a single OWLClasses object (as in PPIYeastDataset) or a tuple of OWLClasses objects (as in GDAHumanDataset). If not overriden, this method returns the classes in the testing ontology obtained from the OWLAPI method getClassesInSignature() as a OWLClasses object.

individual_to_id: Dictionary mapping OWLIndividuals to integer ids.

individuals

List of individuals in the dataset. The individuals are collected from training, validation and testing ontologies using the OWLAPI method ontology.getIndividualsSignature().

Return type:: OWLIndividuals

labels

This method returns labels of entities as a dictionary. To be called, the training ontology must contain axioms of the form \(class_1 \sqsubseteq \exists http://has\_label . class_2\).

Return type:: dict

object_properties

List of object properties (relations) in the dataset. The object properties are collected from training, validation and testing ontologies using the OWLAPI method ontology.getObjectPropertiesInSignature().

Return type:: OWLObjectProperties

object_property_to_id: Dictionary mapping OWLObjectProperties to integer ids.

ontology

Training dataset

Return type:: org.semanticweb.owlapi.model.OWLOntology

testing

Testing ontology

Return type:: org.semanticweb.owlapi.model.OWLOntology

validation

Validation dataset

Return type:: org.semanticweb.owlapi.model.OWLOntology

Methods Documentation

add_axioms(*axioms)[source]: New in version 0.2.0.