- 1 Upcoming Events
- 2 Past Events
- 3 Use Cases
- 4 Collaborative Landscape
- 4.1 W3C Best Practice for Multilingual Linked Open Data Community Group
- 4.2 W3C OntoLex Community Group
- 4.3 W3C Linked Data Models for Emotion and Sentiment Analysis Community Group
- 4.4 Open Knowledge Foundation working group on Open Data in Lingusitics
- 4.5 W3C Data Activity
- 4.6 W3C Internationalization Activity
- 5 OWL Metamodel for Language Resources
We also invite you to participate in any of the upcoming group calls and roadmapping workshops being organised by the group:
- LD4LT Call 3 July 2014
- LD4LT Call 12 June 2014
- Roadmapping workshop 4 June in Dublin, Ireland, at the FEISGILTT workshop co-located with the LocWorld conference
- Linked Data for Language Technology Tutorial at LREC'14, Reykjavik, Iceland, 26th May 2014
- LD4LT Call 15th May 2014
- Roadmapping Workshop 8-9 May on "Linked Data, Language Technologies and Multilingual Content Analytics", in Madrid, Spain, aligned with the 7th W3C Multilingual Web Workshop
- LD4LT Call 10th April 2014
- LD4LT Group kick-off and roadmapping workshop on "Linked Data for Language Technology", 21 March in Athens, Greece, co-located with the European Data Forum 2014
The LD4LT is developing use cases to explore the industrial relevance of linguistic linked data in different industrial and governmental applications. Initial input on such use cases is being gathered though an online questionnaire currently offered by the group, and these will be elaborated on in face to face session at the above workshops. To seed this process however, a number of suggested use cases are being summarised on this wiki based on previous or ongoing applications.
The results of an initial survey conducted by the LIDER project into requirements and use cases related to linguistic linked data are now available. It is interesting to read this in tandem with results of a survey just released by LT-Innovate on interest in a European Language Cloud.
The LD4LT Community Group aims to work closely with other active communities with an interest in building consensus on interoperability of linguistic data using linked data.
This group focusses on capturing best practice in publishing and using linguistic linked data.
LD4LT collaborates on improving the understanding of the use cases to which these best practices may apply.
Developing a model as well as demonstrations and best practice for the representation of lexica (and machine readable dictionaries) relative to ontologies.
LD4LT aims to collaborate on improving the understanding of industrial use cases that may make use of the ontolex model.
Open Knowledge Foundation working group on Open Data in Lingusitics
W3C Data Activity
Works to facilitate potentially Web-scale data integration and processing. It does this by providing standard data exchange formats, models, tools, and guidance.
LD4LT will promote awareness of best practice from the Data Activity and standardised vocabularies (e.g. DCAT, ORG, PROV) from the W3C to identify further language-specific use cases and vocabularies that may be advanced in collaboration with other groups, e.g. BP-MLOD.
Works with W3C working groups and liaises with other organizations to make it possible to use Web technologies with different languages, scripts, and cultures. It includes the ITS Interest Group, which is maintaining an RDF vocabulary for text annotation based on the Internationalization Tag Set 2.0.
LD4LT will promote awareness of existing guidelines and best practice promoted in relation to web content, and also assist in identifying use cases needing best practice in interlinking multilingual web and linguistic linked data, and promote these via the BP-MLOD Community Group.
OWL Metamodel for Language Resources
With the aim of converting data/metadata of Language Resources into the cloud of Linguistic Linked Data, an OWL metamodel will be proposed based on the inputs and previous experience of well-established LRs communities such as Meta-Share. In this section we are collecting pointers and materials related to that topic.