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The Semantic Grid: when the Semantic Web meets Grid
Date: 15 November 2004
Location: IST 2004 Conference, The Hague
Coordinator: Eoghan O'Neill
See also:
- Networking session agenda (DOC, 30KB)
- Final report and conclusions (PDF, 62KB)
Context
The convergence of Web and Grid services and the combination of semantics with Web services has led to the powerful concept of the semantic Grid. This is now becoming the driving force for the design of the next-generation of Grid architecture. This session offered an opportunity for the semantic Web community to become acquainted with the latest progress in the semantic Grid area and to identify synergies between the two fields of research. It stimulated discussions about opportunities for future collaborations between two areas of research that, until now, have been parallel but separate.
Invited speakers to the session were:
- Prof.Dieter Fensel (DERI, Galway, Ireland) of the Semantic Web community
- David de Roure (University of Southampton, UK) of the Semantic Grid community
Presentations given at the session
- Introduction by the Commission - B. Macklin, E2, and V. Obozinski, F2 - DG INFSO (PDF, 1MB)
- The Semantic Grid - Grids leveraging Semantic Web technologies - D. de Roure (PDF, 4.13MB)
- The Semantic Web - Capitalising on growing Semantic Web expertise - D .Fensel (PDF, 655KB)
Contributions submitted by participants before the event
- Business Intelligence through Grid-enabled Semantic Integration
- Peter KRAUTH, KFKI Computer Systems Corp., Hungary
- The Grid-technology enables extremely large and complex data analysis typical in business intelligence applications. For this purpose, uniformity of data access, description and semantics independent from the technical environment, is required primarily. Instead of virtual computers, the semantic grid should allow for high capacity, virtual databases to be dynamically create from Grid-based data sources. A so-called Model Warehouse approach is proposed for semantic information integration to reduce development resources and increase flexibility in building Grid-based virtual databases. Key techniques: ontology management based on description logics, model algebra based model management, algorithms for ontology comparison and verification, automated data cleaning studies, and methods for extracting ontology fragments.
- Download the submitted presentation (PDF, 24KB)
- Knowledge Distillery: An integrated framework for producing semantically-unified knowledge
- Andreas SYMEONIDIS, Aristotle University of Thessaloniki
- The proposed project aims to develop an open, scalable framework to enable the semantic integration of heterogeneous information resources and to enhance knowledge sharing between services and applications in the semantic grid. Knowledge Distillery will undertake the tasks of: a) acquiring and processing various types of data and knowledge from repositories scattered throughout the application grid, b) organizing it in a unified manner, in order to produce a semantically-aware knowledge model, taking into account process evolution and cross-linguistic issues and, c) updating it dynamically upon modification of lower-level information. The main aim of Knowledge Distillery is to provide developers with useful, dynamic views of the produced Unified Knowledge Model, in order to embed it to their applications in a seamless fashion. The proposed project aims to develop an open, scalable framework to enable the semantic integration of heterogeneous information resources and to enhance knowledge sharing between services and applications in the semantic grid. Knowledge Distillery will undertake the tasks of: a) acquiring and processing various types of data and knowledge from repositories scattered throughout the application grid, b) organizing it in a unified manner, in order to produce a semantically-aware knowledge model, taking into account process evolution and cross-linguistic issues and, c) updating it dynamically upon modification of lower-level information. The main aim of Knowledge Distillery is to provide developers with useful, dynamic views of the produced Unified Knowledge Model, in order to embed it to their applications in a seamless fashion.
- Download the submitted presentation (PDF, 357KB)