d503e5d0e5
git-svn-id: svn://svn.cy55.de/Zope3/src/loops/trunk@2443 fd906abe-77d9-0310-91a1-e0d9ade77398
124 lines
3.9 KiB
Python
124 lines
3.9 KiB
Python
#
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# Copyright (c) 2007 Helmut Merz helmutm@cy55.de
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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#
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"""
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Classifier interfaces.
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$Id$
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"""
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from zope.interface import Interface, Attribute
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from zope import interface, component, schema
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from loops.interfaces import IConceptSchema
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from loops.util import _
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class IClassifier(IConceptSchema):
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""" An object that is able to analyze a resource and identify the
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concepts to assign.
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"""
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extractors = schema.TextLine(
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title=_(u'Extractors'),
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description=_(u'Space-separated list of names of extractor adapters.'),
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default=u'',
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required=False)
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analyzer = schema.TextLine(
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title=_(u'Analyzer'),
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description=_(u'Name of an adapter (or a utility?) that is able to '
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'analyze the resources assigned to this classifier.'),
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default=u'',
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required=False)
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options = schema.List(
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title=_(u'Options'),
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description=_(u'Additional settings...'),
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value_type=schema.TextLine(),
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default=[],
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required=False)
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def process(resource):
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""" Do all that is needed to classify the resource given.
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"""
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def assignConcept(statement):
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""" Assign a concept representing the object of the statement
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given to the statement's subject, using the statement's
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predicate.
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"""
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class IExtractor(Interface):
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""" Adapter for extracting an information set from a resource.
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"""
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def extractInformationSet():
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""" Return an information set based on the resource given.
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"""
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class IAnalyzer(Interface):
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""" Adapter (or utility?) that is able to analyze an information set and
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provide a collection of statements about it.
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"""
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def extractStatements(informationSet):
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""" Return a collection of statements derived from the
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information set given.
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"""
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class IInformationSet(Interface):
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""" A mapping or collection of key/value pairs; the keys are usually the
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names of information elements, the values may be simple strings,
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structured resources (e.g. XML documents), files providing such strings
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or documents, or another kind of objects. The analyzer that is
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fed with this information set must know what to do with it.
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"""
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class IStatement(Interface):
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""" Represents a subject-predicate-object triple. These attributes
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may be strings denoting the real
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"""
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subject = Attribute('Subject of the Statement')
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predicate = Attribute('Predicate of the Statement')
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object = Attribute('Object of the Statement')
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relevance = Attribute('A number denoting the relevance or correctness '
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'of the statement')
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# more to come...
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class IOntologyExporter(Interface):
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""" An adapter for creating an XML file with all appropriate informations
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from the context and its children, selecting children via a
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pattern or a set of selection criteria.
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This may then be used by an external tool for classifying
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a set of external objects.
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"""
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class IClassificationImporter(Interface):
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""" An Adapter for importing an XML file with classification
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information for a collection of external objects."
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"""
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