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Content archived on 2024-05-28

Fusing and pooling information for product/service development and research (Fusepool)

Project description


SME initiative on Digital Content and Languages

Fusepool develops an user-adaptive «Living Knowledge Pool» for product development and research. Compared to existing search and knowledge management solutions, Fusepool provides two core benefits: the automated transformation of content from web-harvesting and participating organizations into structured Linked Open Data format and the automated group-specific optimization of knowledge finding and matching based on transfer learning from individual users. Instead of optimizing results only individually per user, Fusepool fuses anonymised user interactions to derive optimizations for specific user groups of users. Information mining and interlinking combine text mining, feature- and entity extraction with semantic web technologies. Content classification and entity identification enable automated enrichment and interlinking of information extracted from internal as well as web-harvested 'raw' content. In addition, Linked Open Data (LOD) from hundreds of data repositories such as Eurostat or DBPedia (Wikipedia) are accessed to pool knowledge related to the information need of the user. Moreover, 'raw' content that is transformed into machine-understandable content can be published as LOD for others to reuse it. Knowledge finding and matching refers to the semantics-aware search integrating content based on available metadata (e.g. classifications, entities) into a stream-lined application for finding and matching content to support the user's information needs. Advanced search features include refinement and filtering, query intent discovery, and proactive information gathering. In addition, recommendations provide the user with potentially relevant information and user dis/approval optimizes future recommendations. Visual analytics and graphical user interfaces present intuitively the complex information and analytical results. Users can develop and share layouts and even layouts are able to adapt to user needs based on past user interactions.

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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Programme(s)

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.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-ICT-2011-SME-DCL
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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.

CP - Collaborative project (generic)

Coordinator

BERNER FACHHOCHSCHULE
EU contribution
€ 643 652,00
Address
FALKENPLATZ 24
3012 Bern
Switzerland

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Region
Schweiz/Suisse/Svizzera Espace Mittelland Bern / Berne
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

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Participants (7)

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