{
    "info": {
        "author": "LOGILAB S.A. (Paris, FRANCE)",
        "author_email": "contact@logilab.fr",
        "bugtrack_url": null,
        "classifiers": [
            "Environment :: Web Environment",
            "Framework :: CubicWeb",
            "Programming Language :: JavaScript",
            "Programming Language :: Python"
        ],
        "description": "Summary\n-------\nCube for named entities source and recognition (NER).\n\n\nThis cube provides:\n\n - the notion of NerSource (i.e. Named Entities Source), e.g. dbpedia or dbpedia-en (for\n   Dbpedia in english).\n\n - the notion of NerEntry, which is a token/word/entry that could be recognized.\n   Basically it requires a \"label\" and a \"cwuri\", but an \"unormalize_label\"\n   could be given for quicker match, a \"weight\" for disambiguation or\n   a \"lang\" for sorting. It should be related to a NerSource.\n\n - the notion of NerProcess, which is an entity type that stores the parameters\n   for a Named Entities Recognition: a \"name\", an \"host\" (appid or url of a sparql endpoint),\n   a request (RQL or SPARQL, with the \"token\" key for substitution), a type ('rql' or 'sparql')\n   for now, and a lang (for sorting).\n\n\nBasically a lexic could be defined (NerSource), that contains entries (NerEntry).\nThus processes (NerProcess) could be defined in other applications to retrieve these entries\nin some content.\n\n\n\nInstallation\n------------\n\nCreation of the instance:\n\n * Create an instance using: cubicweb-ctl create ner <name-of-instance>\n\n * Create the instance's database using: cubicweb-ctl db-create <name-of-instance>\n\n\nCreating entities\n-----------------\n\nFor creating a NerSource (in a cw shell):\n\n  session.create_entity('NerSource', name=<name of the source>)\n\nE.g.:\n\n  session.create_entity('NerSource', name=u\"dbpedia-38-en\")\n\n\nFor creating a simple NerEntry (in a cw shell):\n\n  session.create_entity('NerEntry', label=<label of the entry>, cwuri=<uri of the entry>)\n\nE.g.:\n\n  session.create_entity('NerEntry', label=u\"Barack Obama\", cwuri=u\"http://dbpedia.org/page/Barack_Obama\"\n                                    ner_source=123)\n\nor :\n\n  session.create_entity('NerEntry', label=u\"Barack Obama\", cwuri=u\"http://dbpedia.org/page/Barack_Obama\",\n                                    ner_source=123, unormalize_label=u\"barack obama\", lang=u'fr', weight=1)\n\n\nFor creating a NerProcess, probably in another application (in a cw shell):\n\n    session.create_entity('NerProcess', name=<name of the process>, host=<name/url of the host>,\n                                        type=<rql or sparql>, request=<rql or sparql query with %(token)s>)\n\nE.g.:\n\n    session.create_entity('NerProcess', name=u'dbpedia38-en', host=u'ner',\n                                        type=u'rql', lang=u'en',\n                                        request=u'Any U WHERE X label %(token)s, X cwuri U, '\n                                                 'X ner_source NS, NS name \"dbpedia38-en\"')\n\nor :\n\n    session.create_entity('NerProcess', name=u'dbpedia-sparql', host=u'http://dbpedia.org/sparql',\n                                        type=u'sparql', lang=u'en',\n                                        request=u'''SELECT ?uri\n\t\t\t\t\t            WHERE{\n \t\t\t\t\t\t    ?uri rdfs:label \"%(w)s\"@en .\n \t\t\t\t\t\t    ?uri rdf:type ?type\n \t\t\t\t\t\t    FILTER(?type IN (dbpedia-owl:Agent, dbpedia-owl:Event,\n \t\t\t\t\t\t    dbpedia-owl:MeanOfTransportation,\n\t\t\t\t\t\t    dbpedia-owl:Place,\n \t\t\t\t\t\t    dbpedia-owl:TopicalConcept))}''')\n\nCommands\n--------\n\nA command \"NerImportDbpedia\" exists to import the labels from a dbpedia dump:\n\n * Download the 'labels_en.nt' from Dbpedia (e.g. http://wiki.dbpedia.org/Downloads38),\n   in the Dataset \"Titles\". WARNING ! You should download the NT file.\n\n * Decompress the file\n\n * Use the command:\n\n       cubicweb-ctl ner-import-dbpedia <instance name> labels_en.nt --name=<name of the source>\n\n  where <name of the source> could be \"dbpedia38-en\" for example.\n\n\nAdapters\n--------\n\nThe \"INamedEntitiesContentAbstract\" adapter could be use to imply that an etype\nhas a content where Named Entities Recognition could be applied.",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "UNKNOWN",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://www.cubicweb.org/project/cubicweb-ner",
        "keywords": null,
        "license": "LGPL",
        "maintainer": null,
        "maintainer_email": null,
        "name": "cubicweb-ner",
        "package_url": "https://pypi.org/project/cubicweb-ner/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/cubicweb-ner/",
        "project_urls": {
            "Download": "UNKNOWN",
            "Homepage": "http://www.cubicweb.org/project/cubicweb-ner"
        },
        "release_url": "https://pypi.org/project/cubicweb-ner/0.1.0/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Cube for named entities source and recognition (NER).",
        "version": "0.1.0"
    },
    "last_serial": 1029512,
    "releases": {
        "0.1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "a59e9e67ddb2f3409789d2ef8d648b48",
                    "sha256": "fea2344573eca02a0edd44b080ed793893900dcb51616449941ea2d396499f29"
                },
                "downloads": -1,
                "filename": "cubicweb-ner-0.1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "a59e9e67ddb2f3409789d2ef8d648b48",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 19569,
                "upload_time": "2014-03-14T13:56:13",
                "url": "https://files.pythonhosted.org/packages/65/ac/aef1cc6581891a8280ad66add9a96de152f736a5d8b73469966f600f1711/cubicweb-ner-0.1.0.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "a59e9e67ddb2f3409789d2ef8d648b48",
                "sha256": "fea2344573eca02a0edd44b080ed793893900dcb51616449941ea2d396499f29"
            },
            "downloads": -1,
            "filename": "cubicweb-ner-0.1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "a59e9e67ddb2f3409789d2ef8d648b48",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 19569,
            "upload_time": "2014-03-14T13:56:13",
            "url": "https://files.pythonhosted.org/packages/65/ac/aef1cc6581891a8280ad66add9a96de152f736a5d8b73469966f600f1711/cubicweb-ner-0.1.0.tar.gz"
        }
    ]
}