FP7 funding news
Two projects submitted to call 10 of FP7 have been selected for funding. Both address the integration of language technologies, such as text analytics and machine translation, with linked data.
One is a STREP that we are coordinating. Collaborating with our CNGL friends in DCU and three new SME partners, we will develop modular components for langauge resource sharing and reuse between terminology, translation and crowdsourcing tools.
The other is a coordination and support action that will be assembling a research roadmap for lingustic linked data as a topic in Horizon 2020 (the EU's upcoming funding framework). See http://www.w3.org/community/bpmlod/