Project Details
Description
The work package of the Austrian Grid project focuses on retrieval, processing and managing of heterogeneous data stored in distributed databases. These distributed databases are organized by using GRID technology and methods. In a GRID environment there is no need to know where particular information is stored. Therefore data retrieval, processing and management have its own demands.
To facilitate data retrieval of heterogeneous data from the GRID it is necessary to use a mechanism that is aware of the diverse data structures. Each part of these data structures is defined by a unique schema. It is necessary to merge the local data schemas into a more global data schema, in order to provide a general ubiquitous view of the relevant information.
In general such a (global) data schema has to cope with semantic conflicts between the referenced local data schemas. Ontologies are the state-of-the-art technology to dissolve these semantic conflicts. Ontologies allow the representation of semantically enriched data (e.g. in a local data base). Ontology mapping enables to bridge the semantic gap between heterogeneous and distributed data sources. These semantic bridges are a prerequisite for data combination and consolidation between distributed data bases independent from using them between a local and a global data schema or between local data schemas directly.
The ontology approach applied to environments associated with GRID computing solves the main problem for data retrieval and processing on an application layer. Therefore the WP provides the necessary data retrieval mechanisms for the Environmental GRID application (in cooperation with other WPs).
The described work package is part of the Austrian Grid Project, funded by the Austrian BMBWK (Federal Ministry for Education, Science and Culture) under contract GZ 4003/2-VI/4c/2004.
Status | Finished |
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Effective start/end date | 01.01.2005 → 30.04.2010 |
Collaborative partners
- Johannes Kepler University Linz (lead)
- Bundesministerium für Bildung, Wissenschaft und Kultur (Project partner)
Fields of science
- 102006 Computer supported cooperative work (CSCW)
- 102028 Knowledge engineering
- 502007 E-commerce
- 102016 IT security
- 102019 Machine learning
- 509018 Knowledge management
- 506002 E-government
- 505002 Data protection
- 102022 Software development
- 102033 Data mining
- 102010 Database systems
- 102035 Data science
- 102001 Artificial intelligence
- 102015 Information systems
- 102014 Information design
- 202007 Computer integrated manufacturing (CIM)
- 102025 Distributed systems
JKU Focus areas
- Digital Transformation