ontology¶
A module adding additional functionality to owlready2. The main additions includes: - Visualisation of taxonomy and ontology as graphs (using pydot, see ontograph.py).
The class extension is defined within.
If desirable some of this may be moved back into owlready2.
NoSuchLabelError (LookupError, AttributeError)
¶
Error raised when a label cannot be found.
Ontology (Ontology, OntoGraph)
¶
A generic class extending owlready2.Ontology.
dir_imported
property
writable
¶
Whether to include imported ontologies in dir() listing.
dir_label
property
writable
¶
Whether to include entity label in dir() listing.
dir_name
property
writable
¶
Whether to include entity name in dir() listing.
dir_preflabel
property
writable
¶
Whether to include entity prefLabel in dir() listing.
label_annotations
property
readonly
¶
List of label annotation searched for by get_by_label().
add_label_annotation(self, iri)
¶
Adds label annotation used by get_by_label().
May be provided either as an IRI or as its owlready2 representation.
Source code in ontopy/ontology.py
def add_label_annotation(self, iri):
"""Adds label annotation used by get_by_label().
May be provided either as an IRI or as its owlready2 representation.
"""
la = iri if hasattr(iri, 'storid') else self.world[iri]
if not la:
raise ValueError('IRI not in ontology: %s' % iri)
if la not in self._label_annotations:
self._label_annotations.append(la)
annotation_properties(self, imported=False)
¶
Returns a generator iterating over all annotation properties defined in the current ontology.
If imported is true, annotation properties in imported ontologies
will also be included.
Source code in ontopy/ontology.py
def annotation_properties(self, imported=False):
"""Returns a generator iterating over all annotation properties
defined in the current ontology.
If `imported` is true, annotation properties in imported ontologies
will also be included.
"""
if imported:
return self.world.annotation_properties()
else:
return super().annotation_properties()
classes(self, imported=False)
¶
Returns an generator over all classes.
If imported is true, will imported classes are also returned.
Source code in ontopy/ontology.py
def classes(self, imported=False):
"""Returns an generator over all classes.
If `imported` is true, will imported classes are also returned.
"""
if imported:
return self.world.classes()
else:
return super().classes()
closest_common_ancestor(self, *classes)
¶
Returns closest_common_ancestor for the given classes.
Source code in ontopy/ontology.py
def closest_common_ancestor(self, *classes):
"""Returns closest_common_ancestor for the given classes."""
mros = [cls.mro() for cls in classes]
track = defaultdict(int)
while mros:
for mro in mros:
cur = mro.pop(0)
track[cur] += 1
if track[cur] == len(classes):
return cur
if len(mro) == 0:
mros.remove(mro)
assert(0) # should never be reached...
closest_common_ancestors(self, cls1, cls2)
¶
Returns a list with closest_common_ancestor for cls1 and cls2
Source code in ontopy/ontology.py
def closest_common_ancestors(self, cls1, cls2):
"""Returns a list with closest_common_ancestor for cls1 and cls2"""
distances = {}
for ancestor in self.common_ancestors(cls1, cls2):
distances[ancestor] = (self.number_of_generations(cls1, ancestor) +
self.number_of_generations(cls2, ancestor))
return [ancestor for ancestor, distance in distances.items()
if distance == min(distances.values())]
common_ancestors(self, cls1, cls2)
¶
Return a list of common ancestors for cls1 and cls2.
Source code in ontopy/ontology.py
def common_ancestors(self, cls1, cls2):
"""Return a list of common ancestors for `cls1` and `cls2`."""
return set(cls1.ancestors()).intersection(cls2.ancestors())
data_properties(self, imported=False)
¶
Returns an generator over all data properties.
If imported is true, will imported data properties are also
returned.
Source code in ontopy/ontology.py
def data_properties(self, imported=False):
"""Returns an generator over all data properties.
If `imported` is true, will imported data properties are also
returned.
"""
if imported:
return self.world.data_properties()
else:
return super().data_properties()
get_ancestors(self, classes, include='all', strict=True)
¶
Return ancestors of all classes in classes.
classes to be provided as list
The values of include may be:
- None: ignore this argument
- "all": Include all ancestors.
- "closest": Include all ancestors up to the closest common
ancestor of all classes.
- int: Include this number of ancestor levels. Here include
may be an integer or a string that can be converted to int.
Source code in ontopy/ontology.py
def get_ancestors(self, classes, include='all', strict=True):
"""Return ancestors of all classes in `classes`.
classes to be provided as list
The values of `include` may be:
- None: ignore this argument
- "all": Include all ancestors.
- "closest": Include all ancestors up to the closest common
ancestor of all classes.
- int: Include this number of ancestor levels. Here `include`
may be an integer or a string that can be converted to int.
"""
ancestors = set()
if not classes:
return ancestors
def addancestors(e, n, s):
if n > 0:
for p in e.get_parents(strict=True):
s.add(p)
addancestors(p, n - 1, s)
if isinstance(include, str) and include.isdigit():
include = int(include)
if include == 'all':
ancestors.update(*(c.ancestors() for c in classes))
elif include == 'closest':
closest = self.closest_common_ancestor(*classes)
for c in classes:
ancestors.update(a for a in c.ancestors()
if closest in a.ancestors())
elif isinstance(include, int):
for e in classes:
addancestors(e, int(include), ancestors)
elif include not in (None, 'None', 'none', ''):
raise ValueError('include must be "all", "closest" or None')
if strict:
return ancestors.difference(classes)
else:
return ancestors
get_annotations(self, entity)
¶
Returns a dict with annotations for entity. Entity may be given
either as a ThingClass object or as a label.
Source code in ontopy/ontology.py
def get_annotations(self, entity):
"""Returns a dict with annotations for `entity`. Entity may be given
either as a ThingClass object or as a label."""
warnings.warn('Ontology.get_annotations(entity) is deprecated. '
'Use entity.get_annotations() instead.',
DeprecationWarning)
if isinstance(entity, str):
entity = self.get_by_label(entity)
d = {'comment': getattr(entity, 'comment', '')}
for a in self.annotation_properties():
d[a.label.first()] = [
o.strip('"') for s, p, o in
self.get_triples(entity.storid, a.storid, None)]
return d
get_branch(self, root, leafs=(), include_leafs=True, strict_leafs=False, exclude=None, sort=False)
¶
Returns a set with all direct and indirect subclasses of root.
Any subclass found in the sequence leafs will be included in
the returned list, but its subclasses will not. The elements
of leafs may be ThingClass objects or labels.
Subclasses of any subclass found in the sequence leafs will
be excluded from the returned list, where the elements of leafs
may be ThingClass objects or labels.
If include_leafs is true, the leafs are included in the returned
list, otherwise they are not.
If strict_leafs is true, any descendant of a leaf will be excluded
in the returned set.
If given, exclude may be a sequence of classes, including
their subclasses, to exclude from the output.
If sort is True, a list sorted according to depth and label
will be returned instead of a set.
Source code in ontopy/ontology.py
def get_branch(self, root, leafs=(), include_leafs=True,
strict_leafs=False, exclude=None, sort=False):
"""Returns a set with all direct and indirect subclasses of `root`.
Any subclass found in the sequence `leafs` will be included in
the returned list, but its subclasses will not. The elements
of `leafs` may be ThingClass objects or labels.
Subclasses of any subclass found in the sequence `leafs` will
be excluded from the returned list, where the elements of `leafs`
may be ThingClass objects or labels.
If `include_leafs` is true, the leafs are included in the returned
list, otherwise they are not.
If `strict_leafs` is true, any descendant of a leaf will be excluded
in the returned set.
If given, `exclude` may be a sequence of classes, including
their subclasses, to exclude from the output.
If `sort` is True, a list sorted according to depth and label
will be returned instead of a set.
"""
def _branch(root, leafs):
if root not in leafs:
branch = {root, }
for c in root.subclasses():
# Defining a branch is actually quite tricky. Consider
# the case:
#
# L isA R
# A isA L
# A isA R
#
# where R is the root, L is a leaf and A is a direct
# child of both. Logically, since A is a child of the
# leaf we want to skip A. But a strait forward imple-
# mentation will see that A is a child of the root and
# include it. Requireing that the R should be a strict
# parent of A solves this.
if root in c.get_parents(strict=True):
branch.update(_branch(c, leafs))
else:
branch = {root, } if include_leafs else set()
return branch
if isinstance(root, str):
root = self.get_by_label(root)
leafs = set(self.get_by_label(leaf) if isinstance(leaf, str)
else leaf for leaf in leafs)
leafs.discard(root)
if exclude:
exclude = set(self.get_by_label(e) if isinstance(e, str)
else e for e in exclude)
leafs.update(exclude)
branch = _branch(root, leafs)
# Exclude all descendants of any leaf
if strict_leafs:
descendants = root.descendants()
for leaf in leafs:
if leaf in descendants:
branch.difference_update(leaf.descendants(
include_self=False))
if exclude:
branch.difference_update(exclude)
# Sort according to depth, then by label
if sort:
branch = sorted(sorted(branch, key=lambda x: asstring(x)),
key=lambda x: len(x.mro()))
return branch
get_by_label(self, label, label_annotations=None, namespace=None)
¶
Returns entity with label annotation label.
label_annotations is a sequence of label annotation names to look up.
Defaults to the label_annotations property.
If namespace is provided, it should be the last component of
the base iri of an ontology (with trailing slash (/) or hash
(#) stripped off). The search for a matching label will be
limited to this namespace.
If several entities have the same label, only the one which is found first is returned.Use get_by_label_all() to get all matches.
A NoSuchLabelError is raised if label cannot be found.
Note¶
The current implementation also supports "*" as a wildcard matching any number of characters. This may change in the future.
Source code in ontopy/ontology.py
def get_by_label(self, label, label_annotations=None, namespace=None):
"""Returns entity with label annotation `label`.
`label_annotations` is a sequence of label annotation names to look up.
Defaults to the `label_annotations` property.
If `namespace` is provided, it should be the last component of
the base iri of an ontology (with trailing slash (/) or hash
(#) stripped off). The search for a matching label will be
limited to this namespace.
If several entities have the same label, only the one which is
found first is returned.Use get_by_label_all() to get all matches.
A NoSuchLabelError is raised if `label` cannot be found.
Note
----
The current implementation also supports "*" as a wildcard
matching any number of characters. This may change in the future.
"""
if 'namespaces' in self.__dict__:
if namespace:
if namespace in self.namespaces:
for e in self.get_by_label_all(
label, label_annotations=label_annotations):
if e.namespace == self.namespaces[namespace]:
return e
raise NoSuchLabelError('No label annotations matches "%s" in '
'namespace "%s"' % (label, namespace))
elif label in self.namespaces:
return self.namespaces[label]
if label_annotations is None:
annotations = (la.name for la in self.label_annotations)
else:
annotations = (s.name if hasattr(s, 'storid') else s
for s in label_annotations)
for key in annotations:
e = self.search_one(**{key: label})
if e:
return e
if self._special_labels and label in self._special_labels:
return self._special_labels[label]
e = self.world[self.base_iri + label]
if e:
return e
raise NoSuchLabelError('No label annotations matches %s' % label)
get_by_label_all(self, label, label_annotations=None, namespace=None)
¶
Like get_by_label(), but returns a list with all matching labels.
Returns an empty list if no matches could be found.
Source code in ontopy/ontology.py
def get_by_label_all(self, label, label_annotations=None, namespace=None):
"""Like get_by_label(), but returns a list with all matching labels.
Returns an empty list if no matches could be found.
"""
if label_annotations is None:
annotations = (la.name for la in self.label_annotations)
else:
annotations = (s.name if hasattr(s, 'storid') else s
for s in label_annotations)
e = self.world.search(**{annotations.__next__(): label})
for key in annotations:
e.extend(self.world.search(**{key: label}))
if self._special_labels and label in self._special_labels:
e.append(self._special_labels[label])
if namespace:
return [ns for ns in e if ns.namespace.name == namespace]
return e
get_entities(self, imported=True, classes=True, individuals=True, object_properties=True, data_properties=True, annotation_properties=True)
¶
Return a generator over (optionally) all classes, individuals, object_properties, data_properties and annotation_properties.
If imported is true, entities in imported ontologies will also
be included.
Source code in ontopy/ontology.py
def get_entities(self, imported=True, classes=True, individuals=True,
object_properties=True, data_properties=True,
annotation_properties=True):
"""Return a generator over (optionally) all classes, individuals,
object_properties, data_properties and annotation_properties.
If `imported` is true, entities in imported ontologies will also
be included.
"""
g = []
if classes:
g.append(self.classes(imported))
if individuals:
g.append(self.individuals(imported))
if object_properties:
g.append(self.object_properties(imported))
if data_properties:
g.append(self.data_properties(imported))
if annotation_properties:
g.append(self.annotation_properties(imported))
for e in itertools.chain(*g):
yield e
get_graph(self, **kwargs)
¶
Returns a new graph object. See emmo.graph.OntoGraph.
Note that this method requires the Python graphviz package.
Source code in ontopy/ontology.py
def get_graph(self, **kwargs):
"""Returns a new graph object. See emmo.graph.OntoGraph.
Note that this method requires the Python graphviz package.
"""
from ontopy.graph import OntoGraph
return OntoGraph(self, **kwargs)
get_imported_ontologies(self, recursive=False)
¶
Return a list with imported ontologies.
If recursive is true, ontologies imported by imported ontologies
are also returned.
Source code in ontopy/ontology.py
def get_imported_ontologies(self, recursive=False):
"""Return a list with imported ontologies.
If `recursive` is true, ontologies imported by imported ontologies
are also returned.
"""
def rec_imported(onto):
for o in onto.imported_ontologies:
if o not in imported:
imported.add(o)
rec_imported(o)
if recursive:
imported = set()
rec_imported(self)
return list(imported)
else:
return self.imported_ontologies
get_relations(self)
¶
Returns a generator for all relations.
Source code in ontopy/ontology.py
def get_relations(self):
"""Returns a generator for all relations."""
warnings.warn('Ontology.get_relations() is deprecated. '
'Use onto.object_properties() instead.',
DeprecationWarning)
return self.object_properties()
get_root_classes(self, imported=False)
¶
Returns a list or root classes.
Source code in ontopy/ontology.py
def get_root_classes(self, imported=False):
"""Returns a list or root classes."""
return [cls for cls in self.classes(imported=imported)
if not cls.ancestors().difference(set([cls, owlready2.Thing]))]
get_root_data_properties(self, imported=False)
¶
Returns a list of root object properties.
Source code in ontopy/ontology.py
def get_root_data_properties(self, imported=False):
"""Returns a list of root object properties."""
props = set(self.data_properties(imported=imported))
return [p for p in props if not props.intersection(p.is_a)]
get_root_object_properties(self, imported=False)
¶
Returns a list of root object properties.
Source code in ontopy/ontology.py
def get_root_object_properties(self, imported=False):
"""Returns a list of root object properties."""
props = set(self.object_properties(imported=imported))
return [p for p in props if not props.intersection(p.is_a)]
get_roots(self, imported=False)
¶
Returns all class, object_property and data_property roots.
Source code in ontopy/ontology.py
def get_roots(self, imported=False):
"""Returns all class, object_property and data_property roots."""
roots = self.get_root_classes(imported=imported)
roots.extend(self.get_root_object_properties(imported=imported))
roots.extend(self.get_root_data_properties(imported=imported))
return roots
get_version(self, as_iri=False)
¶
Returns the version number of the ontology as inferred from the owl:versionIRI tag.
If as_iri is True, the full versionIRI is returned.
Source code in ontopy/ontology.py
def get_version(self, as_iri=False):
"""Returns the version number of the ontology as inferred from the
owl:versionIRI tag.
If `as_iri` is True, the full versionIRI is returned.
"""
versionIRI_storid = self.world._abbreviate(
'http://www.w3.org/2002/07/owl#versionIRI')
tokens = self.get_triples(s=self.storid, p=versionIRI_storid)
if not tokens:
raise TypeError('No versionIRI in Ontology %r' % self.base_iri)
s, p, o = tokens[0]
versionIRI = self.world._unabbreviate(o)
if as_iri:
return versionIRI
else:
return infer_version(self.base_iri, versionIRI)
get_wu_palmer_measure(self, cls1, cls2)
¶
Return Wu-Palmer measure for semantic similarity.
Returns Wu-Palmer measure for semantic similarity between two concepts. Wu, Palmer; ACL 94: Proceedings of the 32nd annual meeting on Association for Computational Linguistics, June 1994.
Source code in ontopy/ontology.py
def get_wu_palmer_measure(self, cls1, cls2):
""" Return Wu-Palmer measure for semantic similarity.
Returns Wu-Palmer measure for semantic similarity between
two concepts.
Wu, Palmer; ACL 94: Proceedings of the 32nd annual meeting on
Association for Computational Linguistics, June 1994.
"""
cca = self.closest_common_ancestor(cls1, cls2)
ccadepth = self.number_of_generations(cca, self.Thing)
n1 = self.number_of_generations(cls1, cca)
n2 = self.number_of_generations(cls2, cca)
return 2 * ccadepth / (n1 + n2 + 2 * ccadepth)
individuals(self, imported=False)
¶
Returns an generator over all individuals.
If imported is true, will imported individuals are also returned.
Source code in ontopy/ontology.py
def individuals(self, imported=False):
"""Returns an generator over all individuals.
If `imported` is true, will imported individuals are also returned.
"""
if imported:
return self.world.individuals()
else:
return super().individuals()
is_defined(self, entity)
¶
Returns true if the entity is a defined class.
Source code in ontopy/ontology.py
def is_defined(self, entity):
"""Returns true if the entity is a defined class."""
if isinstance(entity, str):
entity = self.get_by_label(entity)
return hasattr(entity, 'equivalent_to') and bool(entity.equivalent_to)
is_individual(self, entity)
¶
Returns true if entity is an individual.
Source code in ontopy/ontology.py
def is_individual(self, entity):
"""Returns true if entity is an individual."""
if isinstance(entity, str):
entity = self.get_by_label(entity)
return isinstance(entity, owlready2.Thing)
load(self, only_local=False, filename=None, format=None, reload=None, reload_if_newer=False, url_from_catalog=None, catalog_file='catalog-v001.xml', tmpdir=None, EMMObased=True, **kwargs)
¶
Load the ontology.
Parameters¶
only_local : bool
Whether to only read local files. This requires that you
have appended the path to the ontology to owlready2.onto_path.
filename : str
Path to file to load the ontology from. Defaults to base_iri
provided to get_ontology().
format : str
Format of filename. Default is inferred from filename
extension.
reload : bool
Whether to reload the ontology if it is already loaded.
reload_if_newer : bool
Whether to reload the ontology if the source has changed since
last time it was loaded.
url_from_catalog : bool | None
Whether to use catalog file to resolve the location of base_iri.
If None, the catalog file is used if it exists in the same
directory as filename.
catalog_file : str
Name of Protègè catalog file in the same folder as the
ontology. This option is used together with only_local and
defaults to "catalog-v001.xml".
tmpdir : str
Path to temporary directory.
EMMObased : bool
Whether this is an EMMO-based ontology or not, default True.
kwargs
Additional keyword arguments are passed on to
owlready2.Ontology.load().
Source code in ontopy/ontology.py
def load(self, only_local=False, filename=None, format=None,
reload=None, reload_if_newer=False, url_from_catalog=None,
catalog_file='catalog-v001.xml', tmpdir=None,
EMMObased=True, **kwargs):
"""Load the ontology.
Parameters
----------
only_local : bool
Whether to only read local files. This requires that you
have appended the path to the ontology to owlready2.onto_path.
filename : str
Path to file to load the ontology from. Defaults to `base_iri`
provided to get_ontology().
format : str
Format of `filename`. Default is inferred from `filename`
extension.
reload : bool
Whether to reload the ontology if it is already loaded.
reload_if_newer : bool
Whether to reload the ontology if the source has changed since
last time it was loaded.
url_from_catalog : bool | None
Whether to use catalog file to resolve the location of `base_iri`.
If None, the catalog file is used if it exists in the same
directory as `filename`.
catalog_file : str
Name of Protègè catalog file in the same folder as the
ontology. This option is used together with `only_local` and
defaults to "catalog-v001.xml".
tmpdir : str
Path to temporary directory.
EMMObased : bool
Whether this is an EMMO-based ontology or not, default `True`.
kwargs
Additional keyword arguments are passed on to
owlready2.Ontology.load().
"""
# TODO: make sure that `only_local` argument is respected...
if self.loaded:
return self
self._load(only_local=only_local, filename=filename, format=format,
reload=reload, reload_if_newer=reload_if_newer,
url_from_catalog=url_from_catalog,
catalog_file=catalog_file,
tmpdir=tmpdir, **kwargs)
# Enable optimised search by get_by_label()
if self._special_labels is None and EMMObased:
for iri in DEFAULT_LABEL_ANNOTATIONS:
self.add_label_annotation(iri)
t = self.world['http://www.w3.org/2002/07/owl#topObjectProperty']
self._special_labels = {
'Thing': owlready2.Thing,
'Nothing': owlready2.Nothing,
'topObjectProperty': t,
'owl:Thing': owlready2.Thing,
'owl:Nothing': owlready2.Nothing,
'owl:topObjectProperty': t,
}
return self
new_entity(self, name, parent)
¶
Create and return new entity
Makes a new entity in the ontology with given parent. Return the new entity
Source code in ontopy/ontology.py
def new_entity(self, name, parent):
"""Create and return new entity
Makes a new entity in the ontology with given parent.
Return the new entity
"""
with self:
e = types.new_class(name, (parent, ))
return e
number_of_generations(self, descendant, ancestor)
¶
Return shortest distance from ancestor to descendant
Source code in ontopy/ontology.py
def number_of_generations(self, descendant, ancestor):
""" Return shortest distance from ancestor to descendant"""
if ancestor not in descendant.ancestors():
raise ValueError('Descendant is not a descendant of ancestor')
return self._number_of_generations(descendant, ancestor, 0)
object_properties(self, imported=False)
¶
Returns an generator over all object properties.
If imported is true, will imported object properties are also
returned.
Source code in ontopy/ontology.py
def object_properties(self, imported=False):
"""Returns an generator over all object properties.
If `imported` is true, will imported object properties are also
returned.
"""
if imported:
return self.world.object_properties()
else:
return super().object_properties()
remove_label_annotation(self, iri)
¶
Removes label annotation used by get_by_label().
May be provided either as an IRI or as its owlready2 representation.
Source code in ontopy/ontology.py
def remove_label_annotation(self, iri):
"""Removes label annotation used by get_by_label().
May be provided either as an IRI or as its owlready2 representation.
"""
la = iri if hasattr(iri, 'storid') else self.world[iri]
if not la:
raise ValueError('IRI not in ontology: %s' % iri)
self._label_annotations.remove(la)
rename_entities(self, annotations=('prefLabel', 'label', 'altLabel'))
¶
Set name of all entities to the first non-empty annotation in
annotations.
Warning, this method changes all IRIs in the ontology. However, it may be useful to make the ontology more readable and to work with it together with a triple store.
Source code in ontopy/ontology.py
def rename_entities(
self,
annotations=('prefLabel', 'label', 'altLabel'),
):
"""Set `name` of all entities to the first non-empty annotation in
`annotations`.
Warning, this method changes all IRIs in the ontology. However,
it may be useful to make the ontology more readable and to work
with it together with a triple store.
"""
for e in self.get_entities():
for a in annotations:
if hasattr(e, a):
name = getattr(e, a).first()
if name:
e.name = name
break
save(self, filename=None, format=None, overwrite=False, **kwargs)
¶
Writes the ontology to file.
If overwrite is true and filename exists, it will be removed
before saving. The default is to append an existing ontology.
Source code in ontopy/ontology.py
def save(self, filename=None, format=None, overwrite=False, **kwargs):
"""Writes the ontology to file.
If `overwrite` is true and filename exists, it will be removed
before saving. The default is to append an existing ontology.
"""
if overwrite and filename and os.path.exists(filename):
os.remove(filename)
if not format:
format = guess_format(filename, fmap=FMAP)
if (
not _validate_installed_version(
package="rdflib", min_version="6.0.0"
)
and format == FMAP.get("ttl", "")
):
from rdflib import __version__ as __rdflib_version__
warnings.warn(
IncompatibleVersion(
"To correctly convert to Turtle format, rdflib must be "
"version 6.0.0 or greater, however, the detected rdflib "
"version used by your Python interpreter is "
f"{__rdflib_version__!r}. For more information see the "
"'Known issues' section of the README."
)
)
if format in OWLREADY2_FORMATS:
revmap = {v: k for k, v in FMAP.items()}
super().save(file=filename, format=revmap[format], **kwargs)
else:
with tempfile.NamedTemporaryFile(suffix='.owl') as f:
super().save(file=f.name, format='rdfxml', **kwargs)
g = rdflib.Graph()
g.parse(f.name, format='xml')
g.serialize(destination=filename, format=format)
set_version(self, version=None, version_iri=None)
¶
Assign version to ontology by asigning owl:versionIRI.
If version but not version_iri is provided, the version
IRI will be the combination of base_iri and version.
Source code in ontopy/ontology.py
def set_version(self, version=None, version_iri=None):
"""Assign version to ontology by asigning owl:versionIRI.
If `version` but not `version_iri` is provided, the version
IRI will be the combination of `base_iri` and `version`.
"""
versionIRI = 'http://www.w3.org/2002/07/owl#versionIRI'
versionIRI_storid = self.world._abbreviate(versionIRI)
if self._has_obj_triple_spo(s=self.storid, p=versionIRI_storid):
self._del_obj_triple_spo(s=self.storid, p=versionIRI_storid)
if not version_iri:
if not version:
raise TypeError(
'Either `version` or `version_iri` must be provided')
head, tail = self.base_iri.rstrip('#/').rsplit('/', 1)
version_iri = '/'.join([head, version, tail])
self._add_obj_triple_spo(
s=self.storid,
p=self.world._abbreviate(versionIRI),
o=self.world._abbreviate(version_iri),
)
sync_attributes(self, name_policy=None, name_prefix='', class_docstring='comment', sync_imported=False)
¶
This method is intended to be called after you have added new
classes (typically via Python) to make sure that attributes like
label and comments are defined.
If a class, object property, data property or annotation property in the current ontology has no label, the name of the corresponding Python class will be assigned as label.
If a class, object property, data property or annotation property has no comment, it will be assigned the docstring of the corresponding Python class.
name_policy specify wether and how the names in the ontology
should be updated. Valid values are:
None not changed
"uuid" name_prefix followed by a global unique id (UUID).
"sequential" name_prefix followed a sequantial number.
EMMO conventions imply name_policy=='uuid'.
If sync_imported is true, all imported ontologies are also
updated.
The class_docstring argument specifies the annotation that
class docstrings are mapped to. Defaults to "comment".
Source code in ontopy/ontology.py
def sync_attributes(self, name_policy=None, name_prefix='',
class_docstring='comment', sync_imported=False):
"""This method is intended to be called after you have added new
classes (typically via Python) to make sure that attributes like
`label` and `comments` are defined.
If a class, object property, data property or annotation
property in the current ontology has no label, the name of
the corresponding Python class will be assigned as label.
If a class, object property, data property or annotation
property has no comment, it will be assigned the docstring of
the corresponding Python class.
`name_policy` specify wether and how the names in the ontology
should be updated. Valid values are:
None not changed
"uuid" `name_prefix` followed by a global unique id (UUID).
"sequential" `name_prefix` followed a sequantial number.
EMMO conventions imply ``name_policy=='uuid'``.
If `sync_imported` is true, all imported ontologies are also
updated.
The `class_docstring` argument specifies the annotation that
class docstrings are mapped to. Defaults to "comment".
"""
for cls in itertools.chain(
self.classes(), self.object_properties(),
self.data_properties(), self.annotation_properties()):
if not hasattr(cls, 'prefLabel'):
# no prefLabel - create new annotation property..
with self:
class prefLabel(owlready2.label):
pass
cls.prefLabel = [locstr(cls.__name__, lang='en')]
elif not cls.prefLabel:
cls.prefLabel.append(locstr(cls.__name__, lang='en'))
if class_docstring and hasattr(cls, '__doc__') and cls.__doc__:
getattr(cls, class_docstring).append(
locstr(inspect.cleandoc(cls.__doc__), lang='en'))
for ind in self.individuals():
if not hasattr(ind, 'prefLabel'):
# no prefLabel - create new annotation property..
with self:
class prefLabel(owlready2.label): # noqa: F811
pass
ind.prefLabel = [locstr(ind.name, lang='en')]
elif not ind.prefLabel:
ind.prefLabel.append(locstr(ind.name, lang='en'))
chain = itertools.chain(
self.classes(), self.individuals(), self.object_properties(),
self.data_properties(), self.annotation_properties())
if name_policy == 'uuid':
for obj in chain:
obj.name = name_prefix + str(uuid.uuid5(uuid.NAMESPACE_DNS,
obj.name))
elif name_policy == 'sequential':
for obj in chain:
n = 0
while f'{self.base_iri}{name_prefix}{n}' in self:
n += 1
obj.name = name_prefix + str(n)
elif name_policy is not None:
raise TypeError('invalid name_policy: %r' % (name_policy, ))
if sync_imported:
for onto in self.imported_ontologies:
onto.sync_attributes()
sync_python_names(self, annotations=('prefLabel', 'label', 'altLabel'))
¶
Update the python_name attribute of all properties.
The python_name attribute will be set to the first non-empty
annotation in the sequence of annotations in annotations for
the property.
Source code in ontopy/ontology.py
def sync_python_names(self,
annotations=('prefLabel', 'label', 'altLabel')):
"""Update the `python_name` attribute of all properties.
The python_name attribute will be set to the first non-empty
annotation in the sequence of annotations in `annotations` for
the property.
"""
def update(gen):
for prop in gen:
for a in annotations:
if hasattr(prop, a) and getattr(prop, a):
prop.python_name = getattr(prop, a).first()
break
update(self.get_entities(
classes=False, individuals=False,
object_properties=False, data_properties=False))
update(self.get_entities(
classes=False, individuals=False, annotation_properties=False))
sync_reasoner(self, reasoner='FaCT++', include_imported=False, **kwargs)
¶
Update current ontology by running the given reasoner.
Supported values for reasoner are 'Pellet', 'HermiT' and 'FaCT++'.
If include_imported is true, the reasoner will also reason
over imported ontologies. Note that this may be very slow
with Pellet and HermiT.
Keyword arguments are passed to the underlying owlready2 function.
Source code in ontopy/ontology.py
def sync_reasoner(self, reasoner='FaCT++', include_imported=False,
**kwargs):
"""Update current ontology by running the given reasoner.
Supported values for `reasoner` are 'Pellet', 'HermiT' and 'FaCT++'.
If `include_imported` is true, the reasoner will also reason
over imported ontologies. Note that this may be **very** slow
with Pellet and HermiT.
Keyword arguments are passed to the underlying owlready2 function.
"""
if reasoner == 'Pellet':
sync = owlready2.sync_reasoner_pellet
elif reasoner == 'HermiT':
sync = owlready2.sync_reasoner_hermit
elif reasoner == 'FaCT++':
sync = sync_reasoner_factpp
else:
raise ValueError('unknown reasoner %r. Supported reasoners'
'are "Pellet", "HermiT" and "FaCT++".', reasoner)
if include_imported:
with self:
sync(**kwargs)
else:
sync([self], **kwargs)
World (World)
¶
A subclass of owlready2.World.
get_ontology(self, base_iri='emmo-inferred')
¶
Returns a new Ontology from base_iri.
The base_iri argument may be one of:
- valid URL (possible excluding final .owl or .ttl)
- file name (possible excluding final .owl or .ttl)
- "emmo": load latest stable version of asserted EMMO
- "emmo-inferred": load latest stable version of inferred EMMO
(default)
- "emmo-development": load latest inferred development version
of EMMO
Source code in ontopy/ontology.py
def get_ontology(self, base_iri='emmo-inferred'):
"""Returns a new Ontology from `base_iri`.
The `base_iri` argument may be one of:
- valid URL (possible excluding final .owl or .ttl)
- file name (possible excluding final .owl or .ttl)
- "emmo": load latest stable version of asserted EMMO
- "emmo-inferred": load latest stable version of inferred EMMO
(default)
- "emmo-development": load latest inferred development version
of EMMO
"""
if base_iri == 'emmo':
base_iri = (
'https://raw.githubusercontent.com/emmo-repo/'
'EMMO/master/emmo.ttl')
elif base_iri == 'emmo-inferred':
base_iri = (
'https://emmo-repo.github.io/latest-stable/emmo-inferred.ttl')
elif base_iri == 'emmo-development':
base_iri = (
'https://emmo-repo.github.io/development/emmo-inferred.ttl')
if base_iri in self.ontologies:
onto = self.ontologies[base_iri]
elif base_iri + '#' in self.ontologies:
onto = self.ontologies[base_iri + '#']
elif base_iri + '/' in self.ontologies:
onto = self.ontologies[base_iri + '/']
else:
if os.path.exists(base_iri):
iri = os.path.abspath(base_iri)
elif os.path.exists(base_iri + '.ttl'):
iri = os.path.abspath(base_iri + '.ttl')
elif os.path.exists(base_iri + '.owl'):
iri = os.path.abspath(base_iri + '.owl')
else:
iri = base_iri
if iri[-1] not in '/#':
iri += '#'
onto = Ontology(self, iri)
return onto
get_ontology(*args, **kwargs)
¶
Returns a new Ontology from base_iri.
This is a convenient function for calling World.get_ontology().
Source code in ontopy/ontology.py
def get_ontology(*args, **kwargs):
"""Returns a new Ontology from `base_iri`.
This is a convenient function for calling World.get_ontology()."""
return World().get_ontology(*args, **kwargs)