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. (Read more...)
Project fact sheets
Expected outcomes:
A strong community around the topic.
Guidelines and best practices for building and exploiting of resources.
A reference architecture for Linguistic LD.
A long-term roadmap for the use of LD for multilingual and multimedia content analytics in enterprises
(XMLLiteral)
The projectâs 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. (Read more...)
Project fact sheets
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Expected outcomes:
A strong community around the topic.
Guidelines and best practices for building and exploiting of resources.
A reference architecture for Linguistic LD.
A long-term roadmap for the use of LD for multilingual and multimedia content analytics in enterprises