Project description
Content analytics and language technologies
The consumption of large amounts of multilingual and multimedia content regardless of its reliability and cross-validation can have important consequences on the society. An indicative example is the current crisis of the financial markets in Europe, which has created an extremely unstable ground for economic transactions and caused insecurity in the population. The fact that the national mass media provide exaggerated and contradictory information and the inaptness to understand local contexts from different countries has a considerable share in the aggravation of the crisis.To break this spiral, we need multilingual technologies with sentiment, social and spatiotemporal competence that are able to interpret, relate and summarize economic information and news created from various local subjective and biased views and disseminated via TV, radio, mass media websites and social media. To address these challenges, MULTISENSOR will mine heterogeneous data from the aforementioned resources and apply multidimensional content integration. MULTISENSOR will go beyond the state of the art by proposing the following scientific objectives:a) content distillation of heterogeneous multimedia and multilingual data;b) sentiment and context analysis of content and social interactions;c) semantic integration of heterogeneous multimedia and multilingual data;d) semantic reasoning and intelligent decision support;e) multilingual and multimodal summarization and presentation of the information to the user.In order to achieve multidimensional integration of heterogeneous resources, MULTISENSOR proposes a content integration framework that builds upon multimedia mining, knowledge extraction, analysis of computer-mediated interaction, topic detection, semantic and multimodal representation as well as hybrid reasoning.The developed technologies will be validated with the aid of 2 main use cases: a) International mass media news monitoring and b) SME international investments.
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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2013-10
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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
57 001 THERMI THESSALONIKI
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.