ckanext-dcat

This extension provides plugins that allow CKAN to expose and consume metadata from other catalogs using RDF documents serialized using DCAT. The Data Catalog Vocabulary (DCAT) is "an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web". More information can be found on the following W3C page:

http://www.w3.org/TR/vocab-dcat

It also offers other features related to Semantic Data like exposing the necessary markup to get your datasets indexed in Google Dataset Search.

Overview
Installation
RDF DCAT endpoints
RDF DCAT harvester
- Transitive harvesting
- Extending the RDF harvester
JSON DCAT harvester
RDF DCAT to CKAN dataset mapping
RDF DCAT Parser
RDF DCAT Serializer
Profiles
XML DCAT harvester (deprecated)
Translation of fields
Structured Data and Google Dataset Search indexing
Running the Tests
Releases
Acknowledgements
Copying and License

Overview

With the emergence of Open Data initiatives around the world, the need to share metadata across different catalogs has became more evident. Sites like the EU Open Data Portal aggregate datasets from different portals, and there has been a growing demand to provide a clear and standard interface to allow incorporating metadata into them automatically.

There is growing consensus around DCAT being the right way forward, but actual implementations are needed. This extension aims to provide tools and guidance to allow publishers to publish and share DCAT based metadata easily.

In terms of CKAN features, this extension offers:

RDF DCAT Endpoints that expose the catalog's datasets in different RDF serializations (dcat plugin).
An RDF Harvester that allows importing RDF serializations from other catalogs to create CKAN datasets (dcat_rdf_harvester plugin).
An JSON DCAT Harvester that allows importing JSON objects that are based on DCAT terms but are not defined as JSON-LD, using the serialization described in the spec.dataportals.org site (dcat_json_harvester plugin)..

These are implemented internally using:

A base mapping between DCAT and CKAN datasets and viceversa (compatible with DCAT-AP v1.1).
An RDF Parser that allows to read RDF serializations in different formats and extract CKAN dataset dicts, using customizable profiles.
An RDF Serializer that allows to transform CKAN datasets metadata to different semantic formats, also allowing customizable profiles.

Installation

Install ckanext-harvest (https://github.com/ckan/ckanext-harvest#installation) (Only if you want to use the RDF harvester)

Install the extension on your virtualenv:

(pyenv) $ pip install -e git+https://github.com/ckan/ckanext-dcat.git#egg=ckanext-dcat

Install the extension requirements:

(pyenv) $ pip install -r ckanext-dcat/requirements.txt

Enable the required plugins in your ini file:

ckan.plugins = dcat dcat_rdf_harvester dcat_json_harvester dcat_json_interface structured_data

RDF DCAT endpoints

By default when the dcat plugin is enabled, the following RDF endpoints are available on your CKAN instance. The schema used on the serializations can be customized using profiles.

To disable the RDF endpoints, you can set the following config in your ini file:

ckanext.dcat.enable_rdf_endpoints = False

Dataset endpoints

RDF representations of a particular dataset can accessed using the following endpoint:

https://{ckan-instance-host}/dataset/{dataset-id}.{format}

The extension will determine the RDF serialization format returned. The currently supported values are:

Extension	Format	Media Type
`xml`	RDF/XML	application/rdf+xml
`ttl`	Turtle	text/turtle
`n3`	Notation3	text/n3
`jsonld`	JSON-LD	application/ld+json

The fallback rdf format defaults to RDF/XML.

Here's an example of the different formats:

RDF representations will be advertised using <link rel="alternate"> tags on the <head> sectionon the dataset page source code, eg:

<head>

    <link rel="alternate" type="application/rdf+xml" href="http://demo.ckan.org/dataset/34315559-2b08-44eb-a2e6-ebe9ce1a266b.rdf"/>
    <link rel="alternate" type="text/ttl" href="http://demo.ckan.org/dataset/34315559-2b08-44eb-a2e6-ebe9ce1a266b.ttl"/>
    <!-- ... -->

</head>

Check the RDF DCAT Serializer section for more details about how these are generated and how to customize the output using profiles.

You can specify the profile by using the profiles=<profile1>,<profile2> query parameter on the dataset endpoint (as a comma-separated list):

Note: When using this plugin, the above endpoints will replace the old deprecated ones that were part of CKAN core.

Catalog endpoint

Additionally to the individual dataset representations, the extension also offers a catalog-wide endpoint for retrieving multiple datasets at the same time (the datasets are paginated, see below for details):

https://{ckan-instance-host}/catalog.{format}?[page={page}]&[modified_since={date}]&[profiles={profile1},{profile2}]&[q={query}]&[fq={filter query}]

This endpoint can be customized if necessary using the ckanext.dcat.catalog_endpoint configuration option, eg:

ckanext.dcat.catalog_endpoint = /dcat/catalog/{_format}

The custom endpoint must start with a backslash (/) and contain the {_format} placeholder.

As described previously, the extension will determine the RDF serialization format returned.

RDF representations will be advertised using <link rel="alternate"> tags on the <head> sectionon the homepage and the dataset search page source code, eg:

<head>


    <link rel="alternate" type="application/rdf+xml" href="http://demo.ckan.org/catalog.rdf"/>
    <link rel="alternate" type="application/rdf+xml" href="http://demo.ckan.org/catalog.xml"/>
    <link rel="alternate" type="text/ttl" href="http://demo.ckan.org/catalog.ttl"/>
    <!-- ... -->

</head>

The number of datasets returned is limited. The response will include paging info, serialized using the Hydra vocabulary. The different terms are self-explanatory, and can be used by clients to iterate the catalog:

@prefix hydra: <http://www.w3.org/ns/hydra/core#> .

<http://example.com/catalog.ttl?page=1> a hydra:PagedCollection ;
    hydra:firstPage "http://example.com/catalog.ttl?page=1" ;
    hydra:itemsPerPage 100 ;
    hydra:lastPage "http://example.com/catalog.ttl?page=3" ;
    hydra:nextPage "http://example.com/catalog.ttl?page=2" ;
    hydra:totalItems 283 .

The default number of datasets returned (100) can be modified by CKAN site maintainers using the following configuration option on your ini file:

ckanext.dcat.datasets_per_page = 20

The catalog endpoint also supports a modified_since parameter to restrict datasets to those modified from a certain date. The parameter value should be a valid ISO-8601 date:

http://demo.ckan.org/catalog.xml?modified_since=2015-07-24

It's possible to specify the profile(s) to use for the serialization using the profiles parameter:

http://demo.ckan.org/catalog.xml?profiles=euro_dcat_ap,sweden_dcat_ap

To filter the output, the catalog endpoint supports the q and fq parameters to specify a search query or filter query:

http://demo.ckan.org/catalog.xml?q=budget http://demo.ckan.org/catalog.xml?fq=tags:economy

URIs

Whenever possible, URIs are generated for the relevant entities. To try to generate them, the extension will use the first found of the following for each entity:

Catalog:
- ckanext.dcat.base_uri configuration option value. This is the recommended approach. Value should be a valid URI
- ckan.site_url configuration option value.
- 'http://' + app_instance_uuid configuration option value. This is not recommended, and a warning log message will be shown.
Dataset:
- The value of the uri field (note that this is not included in the default CKAN schema)
- The value of an extra with key uri
- Catalog URI (see above) + '/dataset/' + id field
Resource:
- The value of the uri field (note that this is not included in the default CKAN schema)
- Catalog URI (see above) + '/dataset/' + package_id field + '/resource/ + id field

Note that if you are using the RDF DCAT harvester to import datasets from other catalogs and these define a proper URI for each dataset or resource, these will be stored as uri fields in your instance, and thus used when generating serializations for them.

Content negotiation

The extension supports returning different representations of the datasets based on the value of the Accept header (Content negotiation).

When enabled, client applications can request a particular format via the Accept header on requests to the main dataset page, eg:

curl https://{ckan-instance-host}/dataset/{dataset-id} -H Accept:text/turtle

curl https://{ckan-instance-host}/dataset/{dataset-id} -H Accept:"application/rdf+xml; q=1.0, application/ld+json; q=0.6"

This is also supported on the catalog endpoint, in this case when making a request to the CKAN root URL (home page). This won't support the pagination and filter parameters:

curl https://{ckan-instance-host} -H Accept:text/turtle

Note that this feature overrides the CKAN core home page and dataset page controllers, so you probably don't want to enable it if your own extension is also doing it.

To enable content negotiation, set the following configuration option on your ini file:

ckanext.dcat.enable_content_negotiation = True

RDF DCAT harvester

The RDF parser described in the previous section has been integrated into a harvester, to allow automatic import of datasets from remote sources. To enable the RDF harvester, add the dcat_rdf_harvester plugin to your CKAN configuration file:

ckan.plugins = ... dcat_rdf_harvester

The harvester will download the remote file, extract all datasets using the parser and create or update actual CKAN datasets based on that. It will also handle deletions, ie if a dataset is not present any more in the DCAT dump anymore it will get deleted from CKAN.

The harvester will look at the content-type HTTP header field to determine the used RDF format. Any format understood by the RDFLib library can be parsed. It is possible to override this functionality and provide a specific format using the harvester configuration. This is useful when the server does not return the correct content-type or when harvesting a file on the local file system without a proper extension. The harvester configuration is a JSON object that you fill into the harvester configuration form field.

{"rdf_format":"text/turtle"}

TODO: configure profiles.

Transitive harvesting

In transitive harvesting (i.e., when you harvest a catalog A, and a catalog X harvests your catalog), you may want to provide the original catalog info for each harvested dataset.

By setting the configuration option ckanext.dcat.expose_subcatalogs = True in your ini file, you'll enable the storing and publication of the source catalog for each harvested dataset.

The information contained in the harvested dcat:Catalog node will be stored as extras into the harvested datasets. When serializing, your Catalog will expose the harvested Catalog using the dct:hasPart relation. This means that your catalog will have this structure:

dcat:Catalog (represents your current catalog)
- dcat:dataset (1..n, the dataset created withing your catalog)
- dct:hasPart
  - dcat:Catalog (info of one of the harvested catalogs)
    - dcat:dataset (dataset in the harvested catalog)
- dct:hasPart
  - dcat:Catalog (info of one of another harvester catalog) ...

Extending the RDF harvester

The DCAT RDF harvester has extension points that allow to modify its behaviour from other extensions. These can be used by extensions implementing the IDCATRDFHarvester interface. Right now it provides the following methods:

before_download and after_download: called just before and after retrieving the remote file, and can be used for instance to validate the contents.
update_session: called before making the remote requests to update the requests session object, useful to add additional headers or for setting client certificates. Check the requests documentation for details.
before_create / after_create: called before and after the package_create action has been performed
before_update / after_update: called before and after the package_update action has been performed

To know more about these methods, please check the source of ckanext-dcat/ckanext/dcat/interfaces.py.

JSON DCAT harvester

The DCAT JSON harvester supports importing JSON objects that are based on DCAT terms but are not defined as JSON-LD. The exact format for these JSON files is the one described in the spec.dataportals.org site. There are example files in the examples folder.

To enable the JSON harvester, add the dcat_json_harvester plugin to your CKAN configuration file:

ckan.plugins = ... dcat_json_harvester

TODO: align the fields created by this harvester with the base mapping (ie the ones created by the RDF harvester).

RDF DCAT to CKAN dataset mapping

The following table provides a generic mapping between the fields of the dcat:Dataset and dcat:Distribution classes and their equivalents on the CKAN model. In most cases this mapping is deliberately a loose one. For instance, it does not try to link the DCAT publisher property with a CKAN dataset author, maintainer or organization, as the link between them is not straight-forward and may depend on a particular instance needs. When mapping from CKAN metadata to DCAT though, there are in some cases fallback fields that are used if the default field is not present (see RDF Serializer for more details on this.

This mapping is compatible with the DCAT-AP v1.1.

DCAT class	DCAT property	CKAN dataset field	CKAN fallback fields	Stored as
dcat:Dataset	-	extra:uri		text	See note about URIs
dcat:Dataset	dct:title	title		text
dcat:Dataset	dct:description	notes		text
dcat:Dataset	dcat:keyword	tags		text
dcat:Dataset	dcat:theme	extra:theme		list	See note about lists
dcat:Dataset	dct:identifier	extra:identifier	extra:guid, id	text
dcat:Dataset	adms:identifier	extra:alternate_identifier		text
dcat:Dataset	dct:issued	extra:issued	metadata_created	text
dcat:Dataset	dct:modified	extra:modified	metadata_modified	text
dcat:Dataset	owl:versionInfo	version	extra:dcat_version	text
dcat:Dataset	adms:versionNotes	extra:version_notes		text
dcat:Dataset	dct:language	extra:language		list	See note about lists
dcat:Dataset	dcat:landingPage	url		text
dcat:Dataset	dct:accrualPeriodicity	extra:frequency		text
dcat:Dataset	dct:conformsTo	extra:conforms_to		list	See note about lists
dcat:Dataset	dct:accessRights	extra:access_rights		text
dcat:Dataset	foaf:page	extra:documentation		list	See note about lists
dcat:Dataset	dct:provenance	extra:provenance		text
dcat:Dataset	dct:type	extra:dcat_type		text	As of DCAT-AP v1.1 there's no controlled vocabulary for this field
dcat:Dataset	dct:hasVersion	extra:has_version		list	See note about lists. It is assumed that these are one or more URIs referring to another dcat:Dataset
dcat:Dataset	dct:isVersionOf	extra:is_version_of		list	See note about lists. It is assumed that these are one or more URIs referring to another dcat:Dataset
dcat:Dataset	dct:source	extra:source		list	See note about lists. It is assumed that these are one or more URIs referring to another dcat:Dataset
dcat:Dataset	adms:sample	extra:sample		list	See note about lists. It is assumed that these are one or more URIs referring to dcat:Distribution instances
dcat:Dataset	dct:spatial	extra:spatial_uri		text	If the RDF provides them, profiles should store the textual and geometric representation of the location in extra:spatial_text and extra:spatial respectively
dcat:Dataset	dct:temporal	extra:temporal_start + extra:temporal_end		text	None, one or both extras can be present
dcat:Dataset	dct:publisher	extra:publisher_uri		text	See note about URIs
foaf:Agent	foaf:name	extra:publisher_name		text
foaf:Agent	foaf:mbox	extra:publisher_email	organization:title	text
foaf:Agent	foaf:homepage	extra:publisher_url		text
foaf:Agent	dct:type	extra:publisher_type		text
dcat:Dataset	dcat:contactPoint	extra:contact_uri		text	See note about URIs
vcard:Kind	vcard:fn	extra:contact_name	maintainer, author	text
vcard:Kind	vcard:hasEmail	extra:contact_email	maintainer_email, author_email	text
dcat:Dataset	dcat:distribution	resources		text
dcat:Distribution	-	resource:uri		text	See note about URIs
dcat:Distribution	dct:title	resource:name		text
dcat:Distribution	dcat:accessURL	resource:access_url	resource:url	text	If downloadURL is not present, accessURL will be used as resource url
dcat:Distribution	dcat:downloadURL	resource:download_url		text	If present, downloadURL will be used as resource url
dcat:Distribution	dct:description	resource:description		text
dcat:Distribution	dcat:mediaType	resource:mimetype		text
dcat:Distribution	dct:format	resource:format		text	This is likely to require extra logic to accommodate how CKAN deals with formats (eg ckan#18)
dcat:Distribution	dct:license	resource:license		text	See note about dataset license
dcat:Distribution	adms:status	resource:status		text
dcat:Distribution	dcat:byteSize	resource:size		number
dcat:Distribution	dct:issued	resource:issued		text
dcat:Distribution	dct:modified	resource:modified		text
dcat:Distribution	dct:rights	resource:rights		text
dcat:Distribution	foaf:page	resource:documentation		list	See note about lists
dcat:Distribution	dct:language	resource:language		list	See note about lists
dcat:Distribution	dct:conformsTo	resource:conforms_to		list	See note about lists
spdx:Checksum	spdx:checksumValue	resource:hash		text
spdx:Checksum	spdx:algorithm	resource:hash_algorithm		text

Notes

Whenever possible, URIs are extracted and stored so there is a clear reference to the original RDF resource. For instance:

<?xml version="1.0" encoding="utf-8" ?>
    <rdf:RDF
     xmlns:dct="http://purl.org/dc/terms/"
     xmlns:dcat="http://www.w3.org/ns/dcat#"
     xmlns:foaf="http://xmlns.com/foaf/0.1/"
     xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">

    <dcat:Dataset rdf:about="http://data.some.org/catalog/datasets/1">
      <dct:title>Dataset 1</dct:title>
      <dct:publisher>
        <foaf:Organization rdf:about="http://orgs.vocab.org/some-org">
          <foaf:name>Publishing Organization for dataset 1</foaf:name>
        </foaf:Organization>
      </dct:publisher>
    <!-- ... -->
    </dcat:Dataset>
    </rdf:RDF>

{
    "title": "Dataset 1",
    "extras": [
        {"key": "uri", "value": "http://data.some.org/catalog/datasets/1"},
        {"key": "publisher_uri", "value": "http://orgs.vocab.org/some-org"},
        {"key": "publisher_name", "value": "Publishing Organization for dataset 1"}
    ]
}

Another example:

@prefix dcat:    <http://www.w3.org/ns/dcat#> .
@prefix dct:     <http://purl.org/dc/terms/> .
@prefix rdf:     <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .

<http://data.some.org/catalog/datasets/1>
      a       dcat:Dataset ;
      dct:title "Dataset 1" ;
      dcat:distribution
              <http://data.some.org/catalog/datasets/1/d/1> .


<http://data.some.org/catalog/datasets/1/d/1>
      a       dcat:Distribution ;
      dct:title "Distribution for dataset 1" ;
      dcat:accessURL <http://data.some.org/catalog/datasets/1/downloads/1.csv> .

{
    "title": "Dataset 1",
    "extras": [
        {"key": "uri", "value": "http://data.some.org/catalog/datasets/1"}
    ],
    "resources": [{
        "name": "Distribution for dataset 1",
        "url": "http://data.some.org/catalog/datasets/1/downloads/1.csv",
        "uri": "http://data.some.org/catalog/datasets/1/d/1"
    }]
}

Lists are stored as a JSON string, eg:

@prefix dcat:  <http://www.w3.org/ns/dcat#> .
@prefix dct:   <http://purl.org/dc/terms/> .
@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .

<http://example.com/data/test-dataset-1>
    a                  dcat:Dataset ;
    dct:title       "Dataset 1" ;
    dct:language    "ca" , "en" , "es" ;
    dcat:theme      "http://eurovoc.europa.eu/100142" , "http://eurovoc.europa.eu/209065", "Earth Sciences" ;

{
    "title": "Dataset 1",
    "extras": [
        {"key": "uri", "value": "http://data.some.org/catalog/datasets/1"}
        {"key": "language", "value": "[\"ca\", \"en\", \"es\"]"}
        {"key": "theme", "value": "[\"Earth Sciences\", \"http://eurovoc.europa.eu/209065\", \"http://eurovoc.europa.eu/100142\"]"}
    ],
}

The following formats for dct:spatial are supported by the default parser. Note that the default serializer will return the single dct:spatial instance form by default.

One dct:spatial instance, URI only

<dct:spatial rdf:resource="http://geonames/Newark"/>

One dct:spatial instance with text (this should not be used anyway)
```
<dct:spatial>Newark</dct:spatial>
```

One dct:spatial instance with label and/or geometry

<dct:spatial rdf:resource="http://geonames/Newark">
    <dct:Location>
        <locn:geometry rdf:datatype="https://www.iana.org/assignments/media-types/application/vnd.geo+json">
            {"type": "Polygon", "coordinates": [[[175.0, 17.5], [-65.5, 17.5], [-65.5, 72.0], [175.0, 72.0], [175.0, 17.5]]]}
        </locn:geometry>
        <locn:geometry rdf:datatype="http://www.opengis.net/ont/geosparql#wktLiteral">
            POLYGON ((175.0000 17.5000, -65.5000 17.5000, -65.5000 72.0000, 175.0000 72.0000, 175.0000 17.5000))
        </locn:geometry>
        <skos:prefLabel>Newark</skos:prefLabel>
    </dct:Location>
</dct:spatial>

Multiple dct:spatial instances (as in GeoDCAT-AP)

<dct:spatial rdf:resource="http://geonames/Newark"/>
<dct:spatial>
    <dct:Location>
        <locn:geometry rdf:datatype="https://www.iana.org/assignments/media-types/application/vnd.geo+json">
            {"type": "Polygon", "coordinates": [[[175.0, 17.5], [-65.5, 17.5], [-65.5, 72.0], [175.0, 72.0], [175.0, 17.5]]]}
        </locn:geometry>
        <locn:geometry rdf:datatype="http://www.opengis.net/ont/geosparql#wktLiteral">
            POLYGON ((175.0000 17.5000, -65.5000 17.5000, -65.5000 72.0000, 175.0000 72.0000, 175.0000 17.5000))
        </locn:geometry>
    </dct:Location>
</dct:spatial>
<dct:spatial>
    <dct:Location rdf:nodeID="N8c2a57d92e2d48fca3883053f992f0cf">
        <skos:prefLabel>Newark</skos:prefLabel>
    </dct:Location>
</dct:spatial>

On the CKAN model, license is at the dataset level whereas in DCAT model it is at distributions level. By default the RDF parser will try to find a distribution with a license that matches one of those registered in CKAN and attach this license to the dataset. The first matching distribution's license is used, meaning that any discrepancy accross distributions license will not be accounted for. This behavior can be customized by overridding the _license method on a custom profile.

RDF DCAT Parser

The ckanext.dcat.processors.RDFParser class allows to read RDF serializations in different formats and extract CKAN dataset dicts. It will look for DCAT datasets and distributions and create CKAN datasets and resources, as dictionaries that can be passed to package_create or package_update.

Here is a quick overview of how it works:

    from ckanext.dcat.processors import RDFParser, RDFParserException

    parser = RDFParser()

    # Parsing a local RDF/XML file

    with open('datasets.rdf', 'r') as f:
        try:
            parser.parse(f.read())

            for dataset in parser.datasets():
                print('Got dataset with title {0}'.format(dataset['title'])

        except RDFParserException, e:
            print ('Error parsing the RDF file: {0}'.format(e))

    # Parsing a remote JSON-LD file

    import requests

    parser = RDFParser()

    content = requests.get('https://some.catalog.org/datasets.jsonld').content

    try:
        parser.parse(content, _format='json-ld')

        for dataset in parser.datasets():
            print('Got dataset with title {0}'.format(dataset['title'])

    except RDFParserException, e:
        print ('Error parsing the RDF file: {0}'.format(e))

The parser is implemented using RDFLib, a Python library for working with RDF. Any RDF serialization format supported by RDFLib can be parsed into CKAN datasets. The examples folder contains serializations in different formats including RDF/XML, Turtle or JSON-LD.

RDF DCAT Serializer

The ckanext.dcat.processors.RDFSerializer class generates RDF serializations in different formats from CKAN dataset dicts, like the ones returned by package_show or package_search.

Here is an example of how to use it:

    from ckanext.dcat.processors import RDFSerializer

    # Serializing a single dataset

    dataset = get_action('package_show')({}, {'id': 'my-dataset'})

    serializer = RDFserializer()

    dataset_ttl = serializer.serialize_dataset(dataset, _format='turtle')


    # Serializing the whole catalog (or rather part of it)

    datasets = get_action('package_search')({}, {'q': '*:*', 'rows': 50})

    serializer = RDFserializer()

    catalog_xml = serializer.serialize_catalog({'title': 'My catalog'},
                                               dataset_dicts=datasets,
                                               _format='xml')

    # Creating and RDFLib graph from a single dataset

    dataset = get_action('package_show')({}, {'id': 'my-dataset'})

    serializer = RDFserializer()

    dataset_reference = serializer.graph_from_dataset(dataset)

    # serializer.g now contains the full dataset graph, an RDFLib Graph class

The serializer uses customizable profiles to generate an RDF graph (an RDFLib Graph class). By default these use the mapping described in the previous section.

In some cases, if the default CKAN field that maps to a DCAT property is not present, some other fallback values will be used instead. For instance, if the contact_email field is not found, maintainer_email and author_email will be used (if present) for the email property of the adms:contactPoint property.

Note that the serializer will look both for a first level field or an extra field with the same key, ie both the following values will be used for dct:accrualPeriodicity:

{
    "name": "my-dataset",
    "frequency": "monthly",
    ...
}

{
    "name": "my-dataset",
    "extras": [
        {"key": "frequency", "value": "monthly"},
    ]
    ...
}

Once the dataset graph has been obtained, this is serialized into a text format using RDFLib, so any format it supports can be obtained (common formats are 'xml', 'turtle' or 'json-ld').

Profiles

Both the parser and the serializer use profiles to allow customization of how the values defined in the RDF graph are mapped to CKAN and viceversa.

Profiles define :

How the RDF graph values map into CKAN fields, ie how the RDF is parsed into CKAN datasets
How CKAN fields map to an RDF graph, which can be then serialized
How the CKAN catalog metadata maps to an RDF graph, which can be then serialized

They essentially define the mapping between DCAT and CKAN.

In most cases the default profile will provide a good mapping that will cover most properties described in the DCAT standard. If you want to extract extra fields defined in the RDF, are using a custom schema or need custom logic, you can write a custom to profile that extends or replaces the default one.

The default profile is mostly based in the DCAT application profile for data portals in Europe. It is actually fully-compatible with DCAT-AP v1.1. As mentioned before though, it should be generic enough for most DCAT based representations.

This plugin also contains a profile to serialize a CKAN dataset to a schema.org Dataset called schemaorg. This is especially useful to provide JSON-LD structured data.

To define which profiles to use you can:

Set the ckanext.dcat.rdf.profiles configuration option on your CKAN configuration file:

ckanext.dcat.rdf.profiles = euro_dcat_ap sweden_dcat_ap
When initializing a parser or serializer class, pass the profiles to be used as a parameter, eg:

   parser = RDFParser(profiles=['euro_dcat_ap', 'sweden_dcat_ap'])

   serializer = RDFSerializer(profiles=['euro_dcat_ap', 'sweden_dcat_ap'])

Note that in both cases the order in which you define them is important, as it will be the one that the profiles will be run on.

Writing custom profiles

Internally, profiles are classes that define a particular set of methods called during the parsing process. For instance, the parse_dataset method is called on each DCAT dataset found when parsing an RDF file, and should return a CKAN dataset. Conversely, the graph_from_dataset will be called when requesting an RDF representation for a dataset, and will need to generate the necessary RDF graph.

Custom profiles should always extend the ckanext.dcat.profiles.RDFProfile class. This class has several helper functions to make getting metadata from the RDF graph easier. These include helpers for getting fields for FOAF and VCard entities like the ones used to define publishers or contact points. Check the source code of ckanex.dcat.profiles.py to see what is available.

Profiles can extend other profiles to avoid repeating rules, or can be completely independent.

The following example shows a complete example of a profile built on top of the default one (euro_dcat_ap):

    from rdflib.namespace import Namespace
    from ckanext.dcat.profiles import RDFProfile

    DCT = Namespace("http://purl.org/dc/terms/")


    class SwedishDCATAPProfile(RDFProfile):
        '''
        An RDF profile for the Swedish DCAT-AP recommendation for data portals

        It requires the European DCAT-AP profile (`euro_dcat_ap`)
        '''

        def parse_dataset(self, dataset_dict, dataset_ref):

            # Spatial label
            spatial = self._object(dataset_ref, DCT.spatial)
            if spatial:
                spatial_label = self.g.label(spatial)
                if spatial_label:
                    dataset_dict['extras'].append({'key': 'spatial_text',
                                                   'value': str(spatial_label)})

            return dataset_dict

        def graph_from_dataset(self, dataset_dict, dataset_ref):

            g = self.g

            spatial_uri = self._get_dataset_value(dataset_dict, 'spatial_uri')
            spatial_text = self._get_dataset_value(dataset_dict, 'spatial_text')

            if spatial_uri:
                spatial_ref = URIRef(spatial_uri)
            else:
                spatial_ref = BNode()

            if spatial_text:
                g.add((dataset_ref, DCT.spatial, spatial_ref))
                g.add((spatial_ref, RDF.type, DCT.Location))
                g.add((spatial_ref, RDFS.label, Literal(spatial_text)))

Note how the dataset dict is passed between profiles so it can be further tweaked.

Extensions define their available profiles using the ckan.rdf.profiles in the setup.py file, as in this example from this same extension:

[ckan.rdf.profiles]
euro_dcat_ap=ckanext.dcat.profiles:EuropeanDCATAPProfile

Command line interface

The parser and serializer can also be accessed from the command line via python ckanext-dcat/ckanext/dcat/processors.py.

You can point to RDF files:

python ckanext-dcat/ckanext/dcat/processors.py consume catalog_pod_2.jsonld -P -f json-ld

python ckanext/dcat/processors.py produce examples/ckan_dataset.json

or pipe them to the script:

http http://localhost/dcat/catalog.rdf | python ckanext-dcat/ckanext/dcat/processors.py consume -P > ckan_datasets.json

http http://demo.ckan.org/api/action/package_show id=afghanistan-election-data | jq .result | python ckanext/dcat/processors.py produce

To see all available options, run the script with the -h argument:

python ckanext-dcat/ckanext/dcat/processors.py -h
usage: processors.py [-h] [-f FORMAT] [-P] [-p [PROFILE [PROFILE ...]]] [-m]
                     mode [file]

DCAT RDF - CKAN operations

positional arguments:
  mode                  Operation mode. `consume` parses DCAT RDF graphs to
                        CKAN dataset JSON objects. `produce` serializes CKAN
                        dataset JSON objects into DCAT RDF.
  file                  Input file. If omitted will read from stdin

optional arguments:
  -h, --help            show this help message and exit
  -f FORMAT, --format FORMAT
                        Serialization format (as understood by rdflib) eg:
                        xml, n3 ... Defaults to 'xml'.
  -P, --pretty          Make the output more human readable
  -p [PROFILE [PROFILE ...]], --profile [PROFILE [PROFILE ...]]
                        RDF Profiles to use, defaults to euro_dcat_ap
  -m, --compat-mode     Enable compatibility mode

Compatibility mode

In compatibility mode, some fields are modified to maintain compatibility with previous versions of the ckanext-dcat parsers (eg adding the dcat_ prefix or storing comma separated lists instead of JSON blobs).

CKAN instances that were using the legacy XML and JSON harvesters (dcat_json_harvester and dcat_xml_harvester) and want to move to the RDF based one may want to turn compatibility mode on to ensure that CKAN dataset fields are created as before. Users are encouraged to migrate their applications to support the new DCAT to CKAN mapping.

To turn compatibility mode on add this to the CKAN configuration file:

ckanext.dcat.compatibility_mode = True

XML DCAT harvester (deprecated)

The old DCAT XML harvester (dcat_xml_harvester) is now deprecated, in favour of the RDF harvester. Loading it on the ini file will result in an exception on startup.

The XML serialization described in the spec.datacatalogs.org site is a valid RDF/XML one, so changing the harvester should have no effect. There might be slight differences in the way CKAN fields are created though, check Compatibility mode for more details.

Translation of fields

The dcat plugin automatically translates the keys of the dcat fields used in the frontend. This makes it very easy to display the fields in the current language.

To disable this behavior, you can set the following config value in your ini file (default: True):

ckanext.dcat.translate_keys = False

Structured data and Google Dataset Search indexing

There are plugins available to add structured data to dataset pages to provide richer metadata for search engines crawling your site. One of the most well known is Google Dataset Search. The structured_data plugin will add the necessary markup in order to get your datasets indexed by Google Dataset Search. This markup is a JSON-LD snippet that uses the schema.org vocabulary to describe the dataset.

To add structured data to dataset pages, activate the structured_data and dcat plugins in your ini file:

    ckan.plugins = dcat structured_data

By default this uses the schemaorg profile (see profiles) to serialize the dataset to JSON-LD, which is then added to the dataset detail page. To change the schema, you have to override the Jinja template block called structured_data in templates/package/read_base.html and call the template helper function with different parameters:

{% block structured_data %}
  <script type="application/ld+json">
  {{ h.structured_data(pkg.id, ['my_custom_schema'])|safe }}
  </script>
{% endblock %}

Example output of structured data in JSON-LD:

< ... >
    <script type="application/ld+json">
    {
        "@context": {
            "rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
            "rdfs": "http://www.w3.org/2000/01/rdf-schema#",
            "schema": "http://schema.org/",
            "xsd": "http://www.w3.org/2001/XMLSchema#"
        },
        "@graph": [
            {
                "@id": "http://demo.ckan.org/organization/c64835bf-b3b7-496d-a7cf-ed645dbf4b08",
                "@type": "schema:Organization",
                "schema:contactPoint": {
                    "@id": "_:Nb9677036512840e1a00c9fec2818abe4"
                },
                "schema:name": "Public Transport Organization"
            },
            {
                "@id": "http://demo.ckan.org/dataset/69a5bc23-3abd-4af7-8d3d-8f0d08698307/resource/5f1cafa2-3c92-4e89-85d1-60f014c23e0f",
                "@type": "schema:DataDownload",
                "schema:dateModified": "2018-01-18T00:00:00",
                "schema:datePublished": "2018-01-02T00:00:00",
                "schema:description": "API for all the public transport stations",
                "schema:encodingFormat": "JSON",
                "schema:inLanguage": [
                    "de",
                    "it",
                    "fr",
                    "en"
                ],
                "schema:license": "https://creativecommons.org/licenses/by/4.0/",
                "schema:name": "Stations API",
                "schema:url": "http://stations.example.com/api"
            },
            {
                "@id": "http://demo.ckan.org/dataset/69a5bc23-3abd-4af7-8d3d-8f0d08698307",
                "@type": "schema:Dataset",
                "schema:dateModified": "2018-01-18T09:41:21.076522",
                "schema:datePublished": "2017-01-01T00:00:00",
                "schema:distribution": [
                    {
                        "@id": "http://demo.ckan.org/dataset/69a5bc23-3abd-4af7-8d3d-8f0d08698307/resource/5f1cafa2-3c92-4e89-85d1-60f014c23e0f"
                    },
                    {
                        "@id": "http://demo.ckan.org/dataset/69a5bc23-3abd-4af7-8d3d-8f0d08698307/resource/bf3a0b61-415b-47b8-9cd0-86a14f8dc165"
                    }
                ],
                "schema:identifier": "69a5bc23-3abd-4af7-8d3d-8f0d08698307",
                "schema:inLanguage": [
                    "en",
                    "de",
                    "fr",
                    "it"
                ],
                "schema:name": "Station list",
                "schema:publisher": {
                    "@id": "http://demo.ckan.org/organization/c64835bf-b3b7-496d-a7cf-ed645dbf4b08"
                }
            },
            {
                "@id": "_:Nb9677036512840e1a00c9fec2818abe4",
                "@type": "schema:ContactPoint",
                "schema:contactType": "customer service",
                "schema:email": "[email protected]",
                "schema:name": "Public Transport Support",
                "schema:url": "https://public-transport.example.com"
            }
        ]
    }
    </script>
  </body>
</html>

Running the Tests

To run the tests, do:

nosetests --nologcapture --ckan --with-pylons=test.ini ckanext

Releases

To create a new release, follow these steps:

Determine new release number based on the rules of semantic versioning
Update the CHANGELOG, especially the link for the "Unreleased" section
Update the version number in setup.py
Create a new release on GitHub and add the CHANGELOG of this release as release notes

Acknowledgements

Work on ckanext-dcat has been made possible by:

the Government of Sweden and Vinnova, as part of work on Öppnadata.se, the Swedish Open Data Portal.
FIWARE, a project funded by the European Commission to integrate different technologies to offer connected cloud services from a single platform.

If you can fund new developments or contribute please get in touch.

Copying and License

This material is copyright (c) Open Knowledge.

It is open and licensed under the GNU Affero General Public License (AGPL) v3.0 whose full text may be found at:

http://www.fsf.org/licensing/licenses/agpl-3.0.html

Name		Name	Last commit message	Last commit date
Latest commit History 440 Commits
bin		bin
ckanext		ckanext
examples		examples
.coveragerc		.coveragerc
.gitignore		.gitignore
.travis.yml		.travis.yml
CHANGELOG.md		CHANGELOG.md
MANIFEST.in		MANIFEST.in
README.md		README.md
dev-requirements.txt		dev-requirements.txt
requirements.txt		requirements.txt
setup.cfg		setup.cfg
setup.py		setup.py
test.ini		test.ini

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ckanext-dcat

Contents

Overview

Installation

RDF DCAT endpoints

Dataset endpoints

Catalog endpoint

URIs

Content negotiation

RDF DCAT harvester

Transitive harvesting

Extending the RDF harvester

JSON DCAT harvester

RDF DCAT to CKAN dataset mapping

RDF DCAT Parser

RDF DCAT Serializer

Profiles

Writing custom profiles

Command line interface

Compatibility mode

XML DCAT harvester (deprecated)

Translation of fields

Structured data and Google Dataset Search indexing

Running the Tests

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ckanext-dcat

Contents

Overview

Installation

RDF DCAT endpoints

Dataset endpoints

Catalog endpoint

URIs

Content negotiation

RDF DCAT harvester

Transitive harvesting

Extending the RDF harvester

JSON DCAT harvester

RDF DCAT to CKAN dataset mapping

RDF DCAT Parser

RDF DCAT Serializer

Profiles

Writing custom profiles

Command line interface

Compatibility mode

XML DCAT harvester (deprecated)

Translation of fields

Structured data and Google Dataset Search indexing

Running the Tests

Releases

Acknowledgements

Copying and License

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