linked data-tooling-xml

Linked Data tooling and XML WWW.FREME-PROJECT.EU 1

Co-funded by the Horizon 2020Framework Programme of the European UnionGrant Agreement Number 644771

30 JUNE 2015

Felix SasakiDFKI / W3C Fellow

LINKED DATA TOOLING AND XML

www.freme-project.eu

http://www.freme-project.eu/


BACKGROUND: THE FREME PROJECT

• Two year H2020 Innovation action; start February 2020

• Industry partners leading four business cases arounddigital content and (linked) data

• Technology development bridging language and data

• Outreach and business modelling demonstrating monetization of the multilingual data value chain


EXAMPLES:

Seehttp://www.w3.org/People/fsasaki/linked-data-tooling-xml-examples.zip

http://www.w3.org/People/fsasaki/linked-data-tooling-xml-examples.zip

http://www.w3.org/People/fsasaki/linked-data-tooling-xml-examples.zip


WHAT IS LINKED DATA?

• A way to represent data on the Web◦ Give each data item (a “resource”) an unique identifier: http://example.com/xml-ug-berlin◦ Create links between data items; describe the type of links also via unique identifiers

- http://example.com/xml-ug-berlin- http://schema.org/Place- http://dbpedia.org/resource/Berlin

Means: “The XML User Group Berlin takes place in Berlin”

In linked data terminology: a triple, consisting of subject, predicate and object

• Linked data: applying Web principles to data◦ Data item (a “resource”) = like a Web page with a web address◦ Links between data items = links between pieces of web content◦ Types of links are clear for the human reader

The XML User Group Berlin takes place in <a href=”http://en.wikipedia.org/Berlin">Berlin</a>

◦ Linked data provides links in a machine readable way


WHAT DO YOU DO WITH LINKED DATA?

• Creation◦ From scratch◦ Based on existing structured data◦ Based on existing unstructured data

• Storing◦ RDF (“Resource Description Framework”)

• Modelling of vocabularies (not covered here)◦ Creating schemas for linked data◦ Using schema languages with various levels of expressivity: RDF Schema , SKOS, OWL◦ If possible: avoid and use existing linked data vocabularies

• Consumption◦ Query of linked data via SPARQL

• Further processing


LINKED DATA TOOLING AND XML – BACKGROUND

• If you embrace the linked data technology stack, use the Apache Jena Java library◦ http://jena.apache.org/◦ Provides all you need for linked data creation, modelling, storage and query

• This presentation assumes you want to integrate linked data processing with an XML technology stack – potential reasons◦ You don’t want or cannot replace existing XML tooling◦ Your data is both XML and linked data – you need to interface between the two◦ Your workflow assumes both XML and linked data – at least partial conversion are needed

• In general, don’t think about formal aspects of RDF – they are not needed for integration with XML processing

http://jena.apache.org/

http://jena.apache.org/


SYNTAXES

• Linked data can be written in various syntaxes◦ RDF/XML: XML syntax◦ Turtle◦ N3◦ JSON-LD◦ RDFa

• Examples are on the following slides


TURTLE SYNTAX

@prefix db: <http://dbpedia.org/resource/>.

@prefix dbont: <http://dbpedia.org/ontology/populationTotal>.

@prefix sdo: <http://schema.org/>.

<http://example.com/xml-ug-berlin> sdo:Place db:Berlin.

db:Berlin dbont:populationTotal

Structure:

• Declaration of prefixes

• Write each part of a triple (subject, predicate, object) explicitly

• Easy to read & easy to create with XML tooling

• Will be used here to create linked data

• Example: see linked-data-tooling-xml-examples/example1.ttl


JSON-LD SYNTAX

{

"@context": { "db": "http://dbpedia.org/resource/", … },

"@graph": [ {

"@id": "http://example.com/xml-ug-berlin",

"schema:Place": {

"@id": "dbpedia:Berlin"

} },

{

"@id": "dbpedia:Berlin",

"dbont:populationTotal": 3415091

} ] }

• Full example: see linked-data-tooling-xml-examples/example1.json


RDF/XML SYNTAX

<rdf:RDF …>

<rdf:Description rdf:about="http://example.com/xml-ug-berlin">

<sdo:Place>

<rdf:Description rdf:about="http://dbpedia.org/resource/Berlin">

<dbont:populationTotal rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">3415091</dbont:populationTotal>

</rdf:Description>

</sdo:Place>

</rdf:Description>

</rdf:RDF>

• Full example: see linked-data-tooling-xml-examples/example1.xml


FURTHER SYNTAXES

• See linked-data-tooling-xml-examples folder◦ Microdata: example1-microdata.html◦ RDFa: example1-rdfa.html◦ N-Triples: example1.nt

• Tooling for conversion and validation◦ Conversion: http://rdf-translator.appspot.com/◦ Conversion: http://www.easyrdf.org/converter◦ JSON-LD checking: http://json-ld.org/playground/index.html◦ RDF/XML validation: http://www.w3.org/RDF/Validator/


EXAMPLE: CONVERTING A TABLE TO LINKED DATA

Files:

• XML file with table: linked-data-tooling-xml-examples/table.xml

• XSLT stylesheet to create turtle file: linked-data-tooling-xml-examples/table2ttl.xsl

• Ouput in TTL: linked-data-tooling-xml-examples/table.ttl


EXAMPLE: CONVERTING A TABLE TO LINKED DATA

Files:

• XML file with table: linked-data-tooling-xml-examples/table.xml

• XSLT stylesheet to create turtle file: linked-data-tooling-xml-examples/table2ttl.xsl

• Ouput in TTL: linked-data-tooling-xml-examples/table.ttl

Lessons learned:

• Conversions are data and vocabulary specific

• Good practices◦ Use existing linked data vocabularies◦ Link to existing linked data sources


EXAMPLE: XML FORMAT SPECIFIC CONVERSION

Format “XLIFF”

Files:

• XLIFF Input file: linked-data-tooling-xml-examples/example-xliff.xlf

• XSLT stylesheet to create turtle file: linked-data-tooling-xml-examples/xliff-to-nif.xsl

• Output in TTL: linked-data-tooling-xml-examples/example-xliff.ttl


SERVE YOUR OWN LINKED DATA

• Widely used server: Apache Jena Fuseki◦ http://jena.apache.org/documentation/serving_data/

• Usage1. Convert your XML data to RDF (see previous slides)

2. Install Apache Fuseki (with Java available: download > unzip > start server)

3. Add data via Fuseki Web interface http://localhost:3030

4. Run SPARQL queries


QUERYING LINKED DATA VIA XSLT

Files:

• XSLT stylesheet that processes linked data:linked-data-tooling-xml-examples/generate-markup-person.xsl

• ePub file that has the unstructured content

Workflow:

• Stylesheet uses text content as input to linked data query

• Query executed via SPARQL, uses Dbpedia SPARQL endpoint

• Output is available in SPARQL query output format◦ Has also XML syntax◦ See example at linked-data-tooling-xml-examples/sparql-output.xml◦ Can then be processed in XSLT


SUMMARY – LINKED DATA AND XML TOOLING

• Easy to produce with existing XML content◦ Use approaches for structured and unstructured content◦ Store linked data in turtle syntax◦ Provide via triple store

• Easy to consume in XML tool chains◦ Output of SPARQL queries: use XML based SPARQL result format◦ Queries of public and your own data sets

• Main missing piece: knowledge transfer - e.g. about ◦ Adequate syntaxes in your (XML) workflow◦ Existing data sets: sustainability, quality, licenses, …◦ How to interrelate linked data queries with XSLT (= via XML result format)


FURTHER TOPICS

• Linked data support in XML data base solutions◦ Example MarkLogic

• Combined data and language processing◦ Example FREME project (see following reference slides)


Co-funded by the Horizon 2020Framework Programme of the European UnionGrant Agreement Number 644771

30 JUNE 2015

Felix SasakiDFKI / W3C Fellow

LINKED DATA TOOLING AND XML

www.freme-project.eu

http://www.freme-project.eu/


CONTACTS

Felix Sasaki

E-mail: [email protected]

CONSORTIUM

http://www.tilde.com/

http://www.iminds.be/

http://www.agroknow.gr/agroknow

http://wripl.com/

http://www.vistatec.com/index.html

http://infai.org/de/Aktuelles

http://www.ismb.it/

http://www.dfki.de/web

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