Semantic Model for end-to-end multilingual web content processing
published: April 22, 2011, recorded: April 2011, views: 68
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This talk will present a Semantic Model for end-to-end multilingual web content processing flows that encompass content generation, its localisation and its adaptive presentation to users. The Semantic Model is captured in the RDF language in order to both provide semantic annotation of web services and to explore the benefits of using federated triple stores, which form the Linked Open Data cloud that is powering a new range of real world applications. Key applications include the provenance-based Quality Assurance of content localisation and the harvesting and data cleaning of translated web content and terminology needed to train data-driven components such as statistical machine translation and text classifiers.
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