Objective
The emerging and vibrant area of ontology-based data access (OBDA) is currently establishing itself as an important paradigm for processing incomplete and heterogeneous data. The goal of the CODA project is to
make OBDA radically more useful for real-world applications by taking a ground-breaking new perspective on its foundations, algorithms, and tools. The project will rest on an ultimately fine-grained complexity
analysis that allows to identify islands of tractability inside practically important ontology and query languages that are otherwise intractable. Based on these islands, novel OBDA querying tools will be developed that are custom-made for ontologies from applications in the sense that high computational cost is incurred only when unavoidable for the concrete ontology used (`pay as you go' behaviour). The key deliverables of the project are a set of tailor-made OBDA querying tools that form a precision tool belt for real-world OBDA applications, theoretical results regarding the structure and computational complexity of important islands of tractability, efficient algorithms that allow to put these to work in practice, and optimization techniques and heuristics that support the algorithms in the tools developed. We will also collect and make available a a
library of case studies for evaluating OBDA tools. The project is both timely and essential. It is timely because our economy and society are currently experiencing a revolution in data processing and availability, and dealing with incompleteness and heterogeneity is one of the major arising challenges. The project is essential because it has become apparent now that current OBDA tools cannot satisfy industry requirements. In particular, they do not adequately support the limited use of expressive features (`a little bit of disjunction') which intuitively should not result in high computational cost, but with current technology often does.
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.
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.
- natural sciences computer and information sciences knowledge engineering ontology
- social sciences political sciences political transitions revolutions
- natural sciences computer and information sciences data science data processing
- natural sciences computer and information sciences artificial intelligence heuristic programming
- natural sciences computer and information sciences databases relational databases
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
See all projects funded under this programme
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.
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.
ERC-COG - Consolidator Grant
See all projects funded under this funding scheme
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.
(opens in new window) ERC-2014-CoG
See all projects funded under this callHost institution
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28359 Bremen
Germany
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.