Innovation Challenges of FUSION

Building information systems as compositions of public semantic web services is considered as the next step in information technology evolution, since it enables software integration by combining loosely coupled interoperable pieces of functionality at a semantic, abstract level.

The semantic representation of information in ontologies is expected to deliver formal service descriptions and to facilitate data consistency and better information management and aggregation due to knowledge sharing between humans and applications. Formal service descriptions will bring service discovery and composition to the next fully automated level while ontologies and knowledge bases will structure content relative to several economy sectors, thus empowering information and knowledge management activities.
The FUSION initiative is intended to address both issues: public semantic web services and ontological representation of information.

Among innovation challenges of the FUSION initiative is that of addressing modelling requirements of essential business activities and workflows of and between organizations operating in several European Economy sectors.

A parallel research activity of the FUSION project will be the development of a methodology for the implementation of information systems based on structure content and semantic web services.
But the major concern of the FUSION project is the establishment of a semantically-enabled service oriented architecture (SE-SOA) that, with its participant technologies and standards, will implement the business process fusion vision in the economic and social environment of the enlarged Europe.

Innovations in the development of Semantically-enriched Service-Oriented Business Applications will provide a dynamically reconfigurable architecture that will enable enterprises (including SMEs) to respond quickly and flexibly to market changes, thereby supporting innovation and business growth, increasing the potential for an improved return on IT investments and a more robust bottom line.

 

 
 
 
 
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