Technologies | Hot
Future Internet Semantic Web and Knowledge Services
Semantic Web sErvice Editing Tool
SWEET: Semantic Web sErvice Editing Tool is the first tool developed for the semi-automatic acquisition of semantic RESTful service descriptions, aiming to support a higher level of automation of common RESTful service tasks, such as discovery and composition.
Participant: John Domingue, Laurian Gridinoc, Carlos Pedrinaci
Maleshkova, M., Zilka, L. and Pedrinaci, P. (2011) Cross-Lingual Web API Classification and Annotation, Workshop: The Multilingual Semantic Web at 10th International Semantic Web Conference, Proceedings of ISWC 2011, Bonn, Germany
Pedrinaci, C. and Domingue, J. (2010) Toward the Next Wave of Services: Linked Services for the Web of Data, Journal of Universal Computer Science
Duke, A., Stincic, S., Davies, J., Lecue, F., Mehandjiev, N., Pedrinaci, C., Maleshkova, M., Domingue, J., Liu, D. and Alvaro, G. (2010) Telecommunication mashups using RESTful services, ServiceWave 2010
Pedrinaci, C., Liu, D., Maleshkova, M., Lambert, D., Kopecký, J. and Domingue, J. (2010) iServe: a Linked Services Publishing Platform, Workshop: Ontology Repositories and Editors for the Semantic Web at 7th Extended Semantic Web Conference
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Social Software is...
Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.