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Trinity College Dublin

LIDER

Long Name: 
Linked Data as an enabler of cross-media and multilingual content analytics for enterprises across Europe
Funding Body: 
EC, Framework 7 Coordination and support actions
KDEG Contact: 
Dates: 
November 1, 2013 - October 31, 2015

The project’s mission is to provide the basis for the creation of a Linguistic Linked Data cloud that can support content analytics tasks of unstructured multilingual cross-media content. By achieving this goal, LIDER will impact on the ease and efficiency with which Linguistic Linked Data will be exploited in content analytics processes.

We aim at providing an ecosystem for the establishment of a new Linked Open Data (LOD) based ecosystem of free, interlinked, and semantically interoperable language resources (corpora, dictionaries, lexical and syntactic metadata, etc.) and media resources (image, video, etc. metadata) that will allow for free and open exploitation of such resources in multilingual, cross-media content analytics across the EU and beyond, with specific use cases in industries related to social media, financial services, localization, and other multimedia content providers and consumers. In some cases, we will explore new business model and hybrid licensing schemes for using of Linguistic Linked Data in commercial settings for Free but not Open resources.

LIDER will build upon such existing standards, reference architectures, technologies, and data in order to build the grounds for the use of Linguistic Linked Data for content analytics tasks. Current language resource infrastructures (ELRA, META-SHARE, Monnet, BabelNet) will have a special role and relevance in the project, thus ensuring the adoption of the project outcomes by these infrastructures.

People Involved: