This presentation showcases FREME, a framework for multilingual and semantic enrichment of digital content, in two industry domains. FREME deploys several industry and community standards from the area of data and language processing, to ease the creation and adaptation of enrichment applications. Via FREME, the companies Vistatec (for translation) and Wripl (for Web site personalisation and Analytics) acquire new business opportunities. In the case of Wripl, FREME helps to attract new customers in the tourism and library sectors by easily adapting enrichment workflows with custom data sets. On the basis of the enriched content, Wripl is able to analyse user engagement and overlay this with FREME based text analysis. The result is an empowered content strategy by understanding of user interests and the ability to support semantically enabled content creation. In the case of Visatec, FREME allows to combine semantic enrichment and localisation workflows in their new Deep Content service. Accessed via the Vistatec Ocelot tool, this encompasses the processing of linked data, language technologies and XML content formats like XLIFF. The enrichment leads to new business opportunities: Vistatec is currently working with a number of beta customers to integrate Deep Content into their global digital content production processes.
Phil Ritchie is Chief Technology Officer at VistaTEC, an indigenous, privately owned Language Services Provider headquartered in Dublin. Phil directs and drives all Language Technology and Research and Development activities. He has a Batchelor of Science Degree and 20 years of industry experience at senior management and director levels. Phil is a frequent speaker at industry conferences and an active member of several industry associations such as The Translation Automation User Society and various W3C (World Wide Web Consortium) groups. He was a founding industrial member of the Centre for Next Generation Localization and serves as Chairman of its Industrial Advisory Board. He is also a partner in the European Commission funded FREME Project and the lead architect of, and is lead contributor of the Ocelot open source project. His current priority research topics are Natural Language Processing and Semantics.
