The general objective of the FREME innovation action is to build an open innovative commercial-grade framework of e-services for multilingual and semantic enrichment of digital content. FREME will empower digital content managers with its advantages and benefits it brings to the market.
Open framework: the FREME framework will be based on a reusable set of open Application Programme Interfaces (APIs) and Graphical User Interfaces (GUIs) to FREME enrichment services. The FREME framework will be generic, flexible, and reconfigurable to ensure its long-term viability and capability for further extension and advancement.
Innovative framework: the FREME framework will improve existing processes of digital content management by harvesting vast amounts of multilingual structured and unstructured datasets and then reusing them in its enrichment services. The improvement of digital content management will go through the whole content value chain – content creation (or authoring), content translation/localisation, publishing, and access to content including cross-language sharing and personalised content recommendations. Thus, FREME aims at opening new opportunities for all sectors that in this or that way are involved in digital content management.
Commercial-grade framework: solid real world business cases in FREME feature entire cross-sector content and data value chains throughout content enrichment with semantic and multilingual data on content creation, translation, publishing, sharing and access, and personalised recommendation steps.
Digital content: under digital content we understand any type of content that exists in a digital form (text, video, audio, images, and others). Digital content is stored in various formats, for instance, textual content can be stored in structured formats (RFD, SKOS, OWL etc. with the Linked Open Government Data as the most prominent example) and unstructured formats (PPT(X), PDF, etc.). The share of unstructured representation of digital content still prevails to a great extent. In the FREME action we will work with the textual type of digital content in its structured and unstructured formats. We aim at transforming unstructured content into its structured representation.
Enrichment services: under enrichment we interpret annotation of content with additional information. Content can be enriched on any step of its value chain that makes it intelligent, i.e. discoverable, interoperable, and aggregatable further on.
Multilingual enrichment: under multilingual enrichment we understand annotation of content with additional linguistic information in one or more languages other than the language of content itself. The following languages of the FREME partners and/or their customers are in focus in FREME: English, German, Dutch, French, Italian, Spanish, Greek, Latvian, Lithuanian, and Estonian. We will consider other official languages of the European Union too as far as technology is ready for integration and transfer.
Semantic enrichment: under semantic enrichment we interpret annotation of content with additional information that transforms unstructured content into its structured representation using metadata, Natural Language Processing Interchange Format (NIF), semantic richness provided by Linked Open Vocabularies and large and prominent repositories in the Linked Open Data (for example, DBpedia, Freebase, and others).