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

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