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
Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.