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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