This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description
Cube for named entities source and recognition (NER).

This cube provides:

- the notion of NerSource (i.e. Named Entities Source), e.g. dbpedia or dbpedia-en (for
Dbpedia in english).

- the notion of NerEntry, which is a token/word/entry that could be recognized.
Basically it requires a "label" and a "cwuri", but an "unormalize_label"
could be given for quicker match, a "weight" for disambiguation or
a "lang" for sorting. It should be related to a NerSource.

- the notion of NerProcess, which is an entity type that stores the parameters
for a Named Entities Recognition: a "name", an "host" (appid or url of a sparql endpoint),
a request (RQL or SPARQL, with the "token" key for substitution), a type ('rql' or 'sparql')
for now, and a lang (for sorting).

Basically a lexic could be defined (NerSource), that contains entries (NerEntry).
Thus processes (NerProcess) could be defined in other applications to retrieve these entries
in some content.


Creation of the instance:

* Create an instance using: cubicweb-ctl create ner <name-of-instance>

* Create the instance's database using: cubicweb-ctl db-create <name-of-instance>

Creating entities

For creating a NerSource (in a cw shell):

session.create_entity('NerSource', name=<name of="" the="" source="">)


session.create_entity('NerSource', name=u"dbpedia-38-en")

For creating a simple NerEntry (in a cw shell):

session.create_entity('NerEntry', label=<label of="" the="" entry="">, cwuri=<uri of="" the="" entry="">)


session.create_entity('NerEntry', label=u"Barack Obama", cwuri=u""

or :

session.create_entity('NerEntry', label=u"Barack Obama", cwuri=u"",
ner_source=123, unormalize_label=u"barack obama", lang=u'fr', weight=1)

For creating a NerProcess, probably in another application (in a cw shell):

session.create_entity('NerProcess', name=<name of="" the="" process="">, host=<name url="" of="" the="" host="">,
type=<rql or="" sparql="">, request=<rql or="" sparql="" query="" with="" %(token)s="">)


session.create_entity('NerProcess', name=u'dbpedia38-en', host=u'ner',
type=u'rql', lang=u'en',
request=u'Any U WHERE X label %(token)s, X cwuri U, '
'X ner_source NS, NS name "dbpedia38-en"')

or :

session.create_entity('NerProcess', name=u'dbpedia-sparql', host=u''
type=u'sparql', lang=u'en',
request=u'''SELECT ?uri
?uri rdfs:label "%(w)s"@en .
?uri rdf:type ?type
FILTER(?type IN (dbpedia-owl:Agent, dbpedia-owl:Event,


A command "NerImportDbpedia" exists to import the labels from a dbpedia dump:

* Download the 'labels_en.nt' from Dbpedia (e.g.
in the Dataset "Titles". WARNING ! You should download the NT file.

* Decompress the file

* Use the command:

cubicweb-ctl ner-import-dbpedia <instance name=""> labels_en.nt --name=<name of="" the="" source="">

where <name of="" the="" source=""> could be "dbpedia38-en" for example.


The "INamedEntitiesContentAbstract" adapter could be use to imply that an etype
has a content where Named Entities Recognition could be applied.
Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
cubicweb-ner-0.1.0.tar.gz (19.6 kB) Copy SHA256 Checksum SHA256 Source Mar 14, 2014

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