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SHAMAN

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Sustaining Heritage Access through Multivalent ArchiviNg

The aim of the SHAMAN Integrated Project is to investigate and develop a long-term next generation digital preservation (DP) framework and corresponding application solution environments for analysing, ingesting, managing, accessi... see more

30/11/2011

unknown leader

12M€

Project Budget: 12M€

Project leader unknown leader

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 17 Participantes

Financing granted El organismo FP7 notifico la concesión del proyecto The day 2011-11-30 We do not have the information of the call

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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17 Participantes

UNIVERSITY OF STRATHCLYDE

VLAAMSE GEWEST

INESC ID - INSTITUTO DE ENGE...

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Project leader unknown leader

Project Budget 12M€

participation deadline Sin fecha límite de participación.

Project description The aim of the SHAMAN Integrated Project is to investigate and develop a long-term next generation digital preservation (DP) framework and corresponding application solution environments for analysing, ingesting, managing, accessing and reusing information objects and data across libraries and archives, Three prototypical application solutions will be build on the basis of this framework environment will support the and trialling and validating of the result in scientific publishing, parliamentary archival, industrial design and engineering and finally experimentally also in scientific application domains. To achieve these goals SHAMAN is applying and utilising radically new and promising methods for supporting DP as the core of the approach. Within SHAMAN, the core functions are organized within the SHAMAN reference architecture. Utilizing this architecture the project will create a framework and application development environment supporting the creation of test-beds of Digital Preservation support infrastructures and services. The core services of the SHAMAN framework are constructed by integrating Data Grid (DG), Digital Library (DL), Persistent Archive (PA), Context Representation, Annotation, and Preservation (CRAP) as well as Deep Linguistic Analysis (DLA) and corresponding Semantic Representation and Annotation (SRA) technologies for simple and connected data types establishing, document, media, CAD, and scientific data, knowledge, and information collections. This will result in an unprecedented level of functionality and will lay the foundations for the long-term unification of knowledge preservation and analysis across domains within a distributed grid-based infrastructure.

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