Phil Ritchie | Putting Standards into Action: Multilingual and Semantic Enrichment in Web Site Personalisation and Localisation

NIF AND ITS ROLE IN FREME WWW.FREME-PROJECT.EU 1

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

FREME: Putting Standards into action

FREME Tutorial | Leipzig, 12 September 2016

Phil Ritchie (1), with contributions from Felix Sasaki (2)(1) Vistatec (2) DFKI / W3C Fellow

www.freme-project.eu

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

FREME to make linked data available to Localizers – FREME at FEISGILTT 2015 WWW.FREME-PROJECT.EU 2

CURRENT STATE OF SOLUTIONS

Machine translation, terminology

annotation, ...

Linked data creation & processing

GAPS THAT HINDER BUSINESS:

• Plethora of formats• Adaptability and platform dependency• Language coverage• Usability “The right tool for the right person

in given and new enterprises”: technology influences job profiles

FREME to make linked data available to Localizers – FREME at FEISGILTT 2015 WWW.FREME-PROJECT.EU 3

FREME TO THE RESCUE: ENRICHING DIGITAL CONTENT

Machine translation, terminology

annotation, ...

Linked data creation & processing

LT and LD as first class citizens on the Web

A SET OF INTERFACES* - DESIGN DRIVENBY BUSINESS CASES

LT and LD for varioususer types: (application) developer, content architect, content author, …

* Graphical interfaces* Software Interfaces

THE FREME TUTORIAL WWW.FREME-PROJECT.EU 4

THE FREME PROJECT

• Two year H2020 Innovation action; start February 2015

• 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


The FREME Framework

FREME: Putting Standards into Action – SEMANTiCS 2016 WWW.FREME-PROJECT.EU 6


Before FREME


FREME Architecture


Standards in FREME – why? High level pitch:

• Ease re-use of components & adaptability• E.g. with regards to content round-tripping

• No need to hard-wire linked data and language technology workflows• Named entity recognition followed by

machine translation – or the other way round• Standards and open source

• Provide reference implementations• Have a R&D and business community growing

decentralised & organically – not top down


Standards and open source: Some details for FREME• NIF (Natural Language Processing Interchange

Format)• Pivot format for enrichment workflows

• ITS (Internationalization Tag Set) 2.0• Metadata for NLP workflows

• OntoLex lemon• Lexica represented as linked data

• Okapi framework• Content round tripping for many formats

• FREME framework itself!• Available under Apache 2.0 license


What is Internationalization

• Internationalization is a best practice.• It prepares an item that is destined for consumption in a

geographic locale different to its origin for the processes which will adapt it for those target geographic regions

• For content this typically means◦ Separating file structure from content◦ Identifying translatable and non-translatable text


What does e-Internationalization do?

• e-Internationalization is a utility service• It filters the content format to identify translatable content and

then converts it into FREME’s lingua-franca which is NIF.• Thus it makes FREME enrichment accessible to many users

who would not have the ability or time to make such a conversion

• Built on top of Okapi Framework• Uses sub-set of features of Internationalization Tag Set 2.0 with

categories under itsrdf: namespace.

http://okapiframework.org/


Incremental enrichment with NIF

Defines classes of Document, Paragraph, Phrase, Sentence and Word


Internationalization Tag Set 2.0

ITS 2.0

TextAnalytics

/ Dis-

ambiguation

Translate /

Localisation Note

Domain /MT

Confidence

Quality

Provenance


ITS RDF Ontology


XML Localization Interchange File Format


Community standards versus formal standards?• No difference with regards to usefulness of

standard• No formal standard: can be a big challenge

with regards to adoption by big companies• Royalty free standards are key for long term

adoption!


skeleton

The Round Trip Process

skeleton content content

FREME enrichmentservice

content

FREMEe-Internationalization



RDF in XLIFF


W3C RDF and XML INTEROPERABILITY COMMUNITY


Two Business Cases

NIF AND ITS ROLE IN FREME WWW.FREME-PROJECT.EU 23Wripl Content Strategyzer


Demonstration

FREME: Putting Standards into Action – SEMANTiCS 2016 WWW.FREME-PROJECT.EU 25Open and document and enrichment starts in background: term & entity spotting; translation…

FREME: Putting Standards into Action – SEMANTiCS 2016 WWW.FREME-PROJECT.EU 26As enrichment completes, machine translations are available

FREME: Putting Standards into Action – SEMANTiCS 2016 WWW.FREME-PROJECT.EU 27You can view the enrichments of the source language

FREME: Putting Standards into Action – SEMANTiCS 2016 WWW.FREME-PROJECT.EU 28All identified terminological concepts and named entities are shown and can be selected…

FREME: Putting Standards into Action – SEMANTiCS 2016 WWW.FREME-PROJECT.EU 29When clicked, the entity resources can be seen and when clicked again…

FREME: Putting Standards into Action – SEMANTiCS 2016 WWW.FREME-PROJECT.EU 30SPARQL queries are executed to retrieve desired related information

FREME: Putting Standards into Action – SEMANTiCS 2016 WWW.FREME-PROJECT.EU 31If a machine translation suggestion is chosen the enrichment pipeline is executed on the translation


Phil Ritchie

CTO, Vistatec

[email protected]

Twitter: @philinthecloud

Photo

[to be included]

CONTACTS

CONSORTIUM

http://www.tilde.com/

http://www.iminds.be/

http://www.agroknow.gr/agroknow

http://wripl.com/

http://infai.org/de/Aktuelles

http://www.ismb.it/

http://www.dfki.de/web