Název projektu:
PS FP7 Design and Realization of Predictive Complex Event Processing Framework (11 DE 0855 3MLL)
Popis:
The institute of knowledge based systems and knowledge management of a German university plans to submit an application to call FP7 ICT-2011.4.4 Intelligent Information Management. The main goal of this project is to fill the gaps between analytics of large scale disparate data and consistent decision making and situation awareness via detecting and processing of complex events. Research and industry partners, especially from Eastern Europe, are sought to become a partner of the consortium.
Decision making and situation awareness in data-intensive processes are key challenging issues for enterprises dealing with large scale volume of data i.e. terabytes of data including millions of files and objects. In other words, complexity and expansion of volume of data resources and streams have led to difficulties for enterprise assets management. In this context, intelligent information management techniques and methods for processing of large scale data dynamically, economically and effectively on the one hand, and recognizing very complex events and patterns as well as offering alternative conceptualizations on the other hand could facilitate transition from current challenging situation into intelligent integrated system era in enterprise practices.
In terms of scientific cooperation towards fulfilling this objective, researchers at a German university are striving to establish a consortium including qualified organizations and institutions in response to the FP7 funding programme under the call for proposal: Information and Communication Technologies (ICT). The main focus of this consortium is to gather expertise of participating institutions as well as developing a detailed concept towards fulfilling the objectives of ICT-2011.4.4. Moreover, the consortium should promote new scientific investigation into the following challenges:
1. Integrating large scale data from multimodal distributed sources.
2. Detection and prediction of (future) events by processing integrated data.
3. Providing consistent decisions as a service.
Particularly they target the outcome b' entitled as "Intelligent Information Management". Therefore the consortium shall aim at the following challenges:
" Growing volume of data resources and streams over time" Increasing complexity of data intensive applications" Situation awareness and semi-automatic decision making in data intensive applications" Integration of disparate and distributed large volume of data with multiple resources " Statistical Analysis of large scale data " Visualization of distributed disparate data
Furthermore, cloud computing can be considered potentially as a technology infrastructure for the implementation phase.
Technical Specifications / Specific technical requirements:
- call FP7 ICT-2011.4.4 Intelligent Information Management,
- large-scale integrating project (IP)
- call deadline 17th January 2012
- deadline for expressions of interest: 31st September 2011
- partners sought: university and industrial use case partner as defined below
Decision making and situation awareness in data-intensive processes are key challenging issues for enterprises dealing with large scale volume of data i.e. terabytes of data including millions of files and objects. In other words, complexity and expansion of volume of data resources and streams have led to difficulties for enterprise assets management. In this context, intelligent information management techniques and methods for processing of large scale data dynamically, economically and effectively on the one hand, and recognizing very complex events and patterns as well as offering alternative conceptualizations on the other hand could facilitate transition from current challenging situation into intelligent integrated system era in enterprise practices.
In terms of scientific cooperation towards fulfilling this objective, researchers at a German university are striving to establish a consortium including qualified organizations and institutions in response to the FP7 funding programme under the call for proposal: Information and Communication Technologies (ICT). The main focus of this consortium is to gather expertise of participating institutions as well as developing a detailed concept towards fulfilling the objectives of ICT-2011.4.4. Moreover, the consortium should promote new scientific investigation into the following challenges:
1. Integrating large scale data from multimodal distributed sources.
2. Detection and prediction of (future) events by processing integrated data.
3. Providing consistent decisions as a service.
Particularly they target the outcome b' entitled as "Intelligent Information Management". Therefore the consortium shall aim at the following challenges:
" Growing volume of data resources and streams over time" Increasing complexity of data intensive applications" Situation awareness and semi-automatic decision making in data intensive applications" Integration of disparate and distributed large volume of data with multiple resources " Statistical Analysis of large scale data " Visualization of distributed disparate data
Furthermore, cloud computing can be considered potentially as a technology infrastructure for the implementation phase.
Technical Specifications / Specific technical requirements:
- call FP7 ICT-2011.4.4 Intelligent Information Management,
- large-scale integrating project (IP)
- call deadline 17th January 2012
- deadline for expressions of interest: 31st September 2011
- partners sought: university and industrial use case partner as defined below
Požadavky na partnera:
Requested Cooperation: Joint further development
The coordinator plans to make a partnership with at least three academic institutions in the fields of:" Cloud Computing and Distributed Systems: A potential partner will work on the data integration with main focus on conceptualization and development of services based on cloud computing infrastructure. " Data collection, Management & Analysis: A potential partner for this field should be able to support cloud service developer (partner) in integration, correlation and analysis of large scale data sources. " Pattern Recognition: A potential partner should work in the fields of pattern/event recognition and complex event processing with special focus on predictive complex event processing. " Statistical Software Quality Control: A potential partner in this field should evaluate the effectiveness of the framework against the concrete requirements of relevant professionals and test phase and performance analysis.
Moreover the consortium should include an industrial/ business partner with high volume data processing activities as a use case partner and will be eligible to use the project final product during and after project's lifetime.
The institute looks forward to receiving qualified expressions of interest (i.e. a direct response to the partner search, not just general institution descriptions).
The coordinator plans to make a partnership with at least three academic institutions in the fields of:" Cloud Computing and Distributed Systems: A potential partner will work on the data integration with main focus on conceptualization and development of services based on cloud computing infrastructure. " Data collection, Management & Analysis: A potential partner for this field should be able to support cloud service developer (partner) in integration, correlation and analysis of large scale data sources. " Pattern Recognition: A potential partner should work in the fields of pattern/event recognition and complex event processing with special focus on predictive complex event processing. " Statistical Software Quality Control: A potential partner in this field should evaluate the effectiveness of the framework against the concrete requirements of relevant professionals and test phase and performance analysis.
Moreover the consortium should include an industrial/ business partner with high volume data processing activities as a use case partner and will be eligible to use the project final product during and after project's lifetime.
The institute looks forward to receiving qualified expressions of interest (i.e. a direct response to the partner search, not just general institution descriptions).
Obchodní firma/fyzická osoba:
Technologické inovační centrum s.r.o.
Sídlo/Místo podnikání:
Vavrečkova 5262
760 01 Zlín
760 01 Zlín
Kontaktní osoba:
Lenka Kostelníková
Email:
Telefon:
+420 739 570 792
