iServe

Where Linked Data Meets Services

iServe is a platform for publishing Semantic Web Services as linked data, no matter their original format. iServe addresses the publication of services from a novel perspective based upon lessons learnt from the evolution of the Web of Data. It transforms service annotations expressed in a variety of formats including SAWSDL, OWL-S and MicroWSMO into what we refer to as Linked Services – linked data describing services – that can directly be interpreted by state of the art Semantic Web technologies for their discovery and further processing.

Paul Alexander

John Domingue

John Domingue

Marco-Ruiz, L., Pedrinaci, C., Maldonado, J., Panziera, L., Chen, R. and Bellika, J. (2016) Publication, Discovery and Interoperability of Clinical Decision Support Systems: a Linked Data Approach, Journal of Biomedical Informatics

Villalba, A., Perez, J., Carrera, D., Pedrinaci, C. and Panziera, L. (2015) servIoTicy and iServe: a Scalable Platform for Mining the IoT, Workshop: Big Data and Data Mining Challenges on IoT and Pervasive Systems (BigD2M) at International Conference on Ambient Systems, Networks and Technologies (ANT), London, UK

Rodriguez-Mier, P., Pedrinaci, C., Lama, M. and Mucientes, M. (2015) An Integrated Semantic Web Service Discovery and Composition Framework, IEEE Transactions on Services Computing

Pedrinaci, C., Cardoso, J. and Leidig, T. (2014) Linked USDL: a Vocabulary for Web-scale Service Trading, 11th Extended Semantic Web Conference (ESWC 2014), Springer

Mandler, B., Antonelli, F., Kleinfeld, R., Pedrinaci, C., Carrera, D., Gugliotta, A., Schreckling, D., Carreras, I., Raggett, D., Pous, M., Villares, C. and Trifa, V. (2013) COMPOSE - A journey from the Internet of Things to the Internet of Services, Workshop: Cloud Computing Project and Initiatives - CCPI'13