Project description
Intelligent Information Management
BIOASQ initiates a series of challenges on biomedical semantic indexing and question answering (QA).
BioASQ will push for a solution to the information access problem of biomedical experts by setting up a challenge on biomedical semantic indexing and question answering (QA). Biomedical knowledge is dispersed in hundreds of heterogeneous knowledge sources and databases; many of them are connected on the Linked Open Data cloud. Biomedical experts, on the other hand, are in constant need of highly specialized information, which they cannot easily obtain. To address their needs, an information system needs to ``understand'' the data and answer efficiently the experts' questions. Often, however, experts need responses that cannot be answered by a single information source. To integrate information from disparate sources, semantic indexing of the vast quantities of information is needed to bridge the experts' needs with the available data sources. Semantic indexing is currently achieved by manual annotation, and does not scale up. Automating this process requires large-scale classification of data into hierarchically organized concepts. QA methods capable of ``interpreting'' questions in terms of the same concepts are also needed. BioASQ will push towards improved biomedical semantic indexing and QA via ambitious, yet realistic challenge tasks. The challenge will run in two stages, designed to (a) adapt traditional semantic indexing and QA methods to the needs of biomedical experts, and (b) collect feedback and improve the experimental setting itself. A large computational infrastructure, already available to the consortium, will be used to evaluate competing systems. The required datasets and evaluation measures will be established before the challenge. Biomedical experts will participate in the consortium, both as partners and through a supporting network of third parties.
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-2011-8
See other projects for this call
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
15 341 AGIA PARASKEVI
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.