See the program. The keynote speaker will be Alolita Sharma, Director of Language Engineering from the Wikimedia Foundation. She is followed by a strong line up in sessions entitled Developers, Creators, Localizers, Machines, and Users, including speakers from Microsoft, Wikimedia Foundation, the UN FAO, W3C, Yandex, SDL, Lionbridge, Asia Pacific TLD, Verisign, DFKI, and many more. On the afternoon of the second day we will hold Open Space breakout discussions. Abstracts and details about an additional poster session will be provided shortly.
The program will also feature an LD4LT event on May 8-9, focusing on text analytics and the usefulness of Wikipedia and Dbpedia for multiilngual text and content analytics, and on language resources and aspects of converting selected types of language resources into RDF.
Participation in both events is free. See the Call for Participation for details about how to register for the MultilingualWeb workshop. The LD4LT event requires a separate registration and you have the opportunity to submit position statements about language resources and RDF.
If you haven’t registered yet, note that space is limited, so please be sure to register soon to ensure that you get a place.
The MultilingualWeb workshops, funded by the European Commission and coordinated by the W3C, look at best practices and standards related to all aspects of creating, localizing and deploying the multilingual Web. The workshops are successful because they attract a wide range of participants, from fields such as localization, language technology, browser development, content authoring and tool development, etc., to create a holistic view of the interoperability needs of the multilingual Web.
We look forward to seeing you in Madrid!
Registration for Workshop on Linked Data, Language Technologies and Multilingual Content Analytics now open!
Register now for the recently announced workshop on Linked Data, Language Technologies and Multilingual Content Analytics (8-9 May, Madrid). A preliminary agenda has been created and the registration form is available.
If you are interested in contributing a position statement please indicate this in the dedicated field in the registration form. The workshop organizers will come back to you with questions to answer in the position statement. We then will select which statements are appropriate for presentations on 9 May, and inform you by 28 April.
We are looking forward to see you in Madrid, both for this event and the MultilingualWeb workshop!
The workshop is a free community event – there is no admission fee for participants, but registration is required.
You are encouraged to provide a title for a position statement in your registration form. This is a simple, short statement that summarizes your ideas / technologies / use cases related to Linked Data and Language Technology.
As input to the discussion and the work of the LD4LT group, you may also want to fill in the first LIDER survey.
Linked Data for Language Technology (LD4LT) Group Kick-Off Meeting and Roadmap meeting, 21 March, Athens, Greece
Linked Data (LD) has proven beneficial in many new and unforeseen ways for Language Technology (LT) and the newly gained interoperability and availability of LT data and services is currently receiving industry adoption. With the foundation of the LD4LT W3C community group, we would like to start the discussion and analyse current trends as well as offer a crystallization point to coordinate the development of future LD-based LT applications. See the agenda.
All feedback is welcome and participation is open to all interested organisations and individuals from industry and academia.
The LD4LT Group Kick-Off and Roadmap Meeting is supported by the LIDER project, the MultilingualWeb community, the NLP2RDF project, the Working Group for Open Data in Linguistics as well as the DBpedia Project.
As input to the discussion and the work of the LD4LT group, you may consider to fill in the first LIDER survey. During the kick-off meeting, via the survey and in the LD4LT group, provide your view on how linked data and language technology should benefit each other.