Objective
REVEAL THIS addresses a basic need underlying content organisation, filtering, consumption and enjoyment by developing content programming systems that will help European citizens keep up with the explosion of digital content scattered over different platforms (radio, TV, World Wide Web, etc), different media (speech, text, image, video) and different languages. People should be spending most of their leisure time enjoying the content, not searching for it. REVEAL THIS aims at developing content programming technology able to capture, semantically index, categorise and cross-link multi-platform, multimedia and multilingual digital content, as well as provide the system user with semantic search, retrieval, summarisation and translation functionalities. Content providers will use the technology to offer personalized content as a service, while the end-user version will be embedded in a Personalized Entertainment System (PES) that largely relieves users from tedious search for valuable content.
The innovative aspects of the project spring out of the main scientific and technological challenges:
1) semantic enrichment of multilingual multimedia content with topic, entity and fact information relevant to user profiles;
2) development of suitable cross-language, cross-media representations; and
3) deployment of the above in building search, retrieval, classification and summarization capabilities.
We will exploit explicit cross-media links and implicit links uncovered by methods such as latent semantic analysis and kernel canonical correlation analysis. Adequate cross-language capabilities (cross-language information retrieval, categorization and machine translation of indicative summaries) will be provided by the latest statistical machine translation technology. REVEAL THIS is bringing together deep expertise in each component technology (speech, text, image and video processing) in an exciting cross-disciplinary challenge.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
15125 MAROUSSI - ATHENS
Greece
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.