Opis projektu
Semantic-based knowledge systems
Semantic Web Services (SWS), and Service-Oriented Architectures (SOA) that host them, are about to make a significant contribution to the competitiveness of European ICT. This will happen in two ways. First, Enterprise Applications Integration (EAI) will become less costly and more reliable because of explicit modelling of the meaning of data and processes in the systems owned by different business units. Second, B2B and B2C eCommerce systems will become: more reusable, with interfaces that are meaningful for machines as well as for humans; more dynamic and adaptive, with the possibility of virtual applications composed from dynamically discovered components; more scaleable, distributed across multiple machines; saleable as discreet elements in the application service providers market. TAO is about how existing "legacy" applications can migrate to open, semantics-based SOA. We will create an open source infrastructure to aid transitioning of legacy applications to SOA, via ontologies and refactoring into SWS. This will enable a much larger group of companies to exploit semantics without having to re-implement their applications. The results will be validated in two high-profile case studies: a comprehensive open source platform (with thousands of users) and a data-intensive business process application (managing a multi-million business). Now is the time to do this, because significant recent initiatives have built up strong foundations for practical semantic SOA. They have shown how new systems can profitably deploy semantics as a lingua franca for modelling the points of contact between software components at a higher level than previous technology. Now we need to show how existing applications can profit from semantics-based architectures. TAO will ease the adaptation of the applications to these SOA through semantic web service bootstrapping - an innovative methodology, based on state-of-the-art ontology learning and semantic data integration.
Dziedzina nauki
Zaproszenie do składania wniosków
FP6-2004-IST-4
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System finansowania
STREP - Specific Targeted Research ProjectKoordynator
S1 4DP Sheffield
Zjednoczone Królestwo