Objective
Due to the enormous increase in stored digital content, any IT device must provide effective and intelligent search-retrieval functionality. Today, in order to retrieve a few relevant KB from a large digital store one moves in and out several (hundred) GB between memory and processor over a restricted size band bus. The only long-term solution is to delegate this task where it belongs: to the storage medium itself. By supporting at hardware level simple micro-operations performed in parallel, the AMASS project will provide a hardware platform for error tolerant storage and retrieval of electronic objects described by a set of binary features. The encoding and decoding of objects into/from binary features is performed externally on a general-purpose machine using current SW tools. This unified approach applies to different data structures, ranging from new and current storage technologies up to application-oriented solutions for database retrieval, ontology based intelligent internet components, and multimedia storage management. The main goal of the project is to develop the HW/SW intellectual property cores for implementing a general-purpose associative dynamic memory for storing and retrieving binary feature descriptors in Silicon platforms. This includes creating the general IP- and system framework. Beyond developing an abstract model supporting sophisticated pattern recognition and search tasks, the projects also targets a system design approach for a few concrete application fields. The targeted demonstrator is a content-based text retrieval system. It includes the corresponding IP cores methodology, the system software, and the middleware resources needed by the full application.
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.
- natural sciences computer and information sciences knowledge engineering ontology
- natural sciences computer and information sciences internet
- natural sciences computer and information sciences software software applications system software
- natural sciences computer and information sciences artificial intelligence pattern recognition
- natural sciences chemical sciences inorganic chemistry metalloids
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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.
FP6-2003-SME-1
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.
Data not available
Coordinator
KIRCHZARTEN
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.