Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
SA-REST: Semantically Interoperable and Easier-to-Use Services and Mashups
IEEE Internet Computing
Integrating Folksonomies with the Semantic Web
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Inclusive Social Tagging: A Paradigm for Tagging-Services in the Knowledge Society
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Rethinking the semantic annotation of services
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
Bridging the gap between service description models in service matchmaking
Multiagent and Grid Systems - Development of service-based and agent-based computing systems
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e-Government portals suffer from various shortcomings, such as the lack of formal service models for documenting services, the complexity of the user interfaces, the badly structured content etc. In this work we start from a mature model for modelling public services and employ semantic and Web 2.0 technologies in order to develop a citizen-centric e-Government portal. Content managers are provided with a mechanism for adding structured service descriptions. A rich user experience has been created for all the users of the portal. The user interface can be personalized, visual browsing mechanisms and efficient search mechanisms have been implemented on top of the underlying service repository. Structured service descriptions, which are semantically annotated using the RDFa mechanism, are made available to the users. In addition, the users can annotate the service descriptions using tags similar to what is currently done for popular Web 2.0 portals and the portal also logs the users' behaviour when using the portal. Hence, user-defined service metadata are created, which then support service and tag recommendation mechanisms.