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Monday, 10 March 2008 17:17 |
Project | Key Area | Relevant Technology | Application | | EU Research Projects and Initiatives: | ASG | Semantic Service Provisioning
Tool-Chain Methodology
| WSMO, Grid | Business Scenarios for Semantic Services
| SWWS | Semantic Web Services | Web Services Modelling Framework, Service discovery framework, Mediation architecture | B2C financial aggregation services, B2B interaction platform, B2B dynamic modifications
| DIP | Semantic Web Services
| WSMO, WSMX, WSMO Studio, ORDI | Tourism, banking, eGovernment
| WonderWeb | Ontology Infrastructure
| Learning SWS domain ontologies from Web Service documentation
| Foundational infrastructure used in SWS research
| InfraWebs | Semantic Web Services
| Adaptable components for Semantic Web Services
| P2P, Agent-based environment; security
| SUPER | Semantic Business Process Management
| Process modelling languages, process query tools, reasoners, SWS extensions
| Telecommunications
| SWING | Semantic Web Services
| | Dealing with transitioning legacy geospatial services to ontologies
| | National Research Initiatives: | MyGrid | Grid computing
| Integration environment for e-science
| A virtual laboratory workbench
| RW2 | Semantic Web Service Discovery
| Reasoner Development and application to the discovery domain
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Service-Finder will advance the state-of-the-art over existing projects and initiatives in many ways. The following table shows the coverage of the research areas involved in Service-Finder with respect to other similar projects (the symbol X means that the topic is not addressed by the project).
| DIP | InfraWebs | ASG | TAO | SIMDAT
| | Service-Finder | | Large-scale Web Service search engine | Discovery through registry | Discovery through distributed repositories | Discovery through internal registry
| X | Discovery through internal registry | Discovery of previously unknown services through automated crawling and annotation | | Metadata Creation for Web Service Repositories | X | X
| X
| Ontology learnt from legacy data and source code
| X | Semantic search of Web service repositories via metadata derived from Web 2.0 services and data; reconciling contradictory information; and employing a community process | User and Service Clustering
| X | Pre defined user groups | X | X | X | Clusters of both users and services are created automatically and adapted constantly with respect to the user behaviours | | Conceptual Indexing and Matching | Semantic “heavy” discovery methodology | Multi phased discovery | Based on planning | X | Ontology-based requirement matching | Service-Finder combines formal reasoning and IR to retrieve services | | Web-service Portal | Industry specific use cases | Industry specific use cases | Industry specific use cases | X | Industry specific use cases | A generic and highly innovative semantic portal collects Web Services of different kinds and provides advanced functionalities for human consumption |
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Last Updated ( Wednesday, 23 December 2009 11:38 )
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