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Champion: Carlos Pedrinaci
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Participant(s):John Domingue, Dong Liu

Similar Technologies:SOA4All, Internet Reasoning Service (IRS), SWEET

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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.

News

14 Jul 2015

Paul Alexander


24 Oct 2010

John Domingue


02 Apr 2008

John Domingue


Publications

 

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

Publications | Visit External Site for Details Publications | Visit External Site for Details  

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

Publications | Download PDF Publications | Visit External Site for Details  

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

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The Knowledge Media Institute (KMi) is looking for a bright and ambitious post-doctoral researcher to complement the Open University’s Data Science Group. You will have a profound understanding of...

Research Assistant / Associate

Knowledge Media Institute (KMi)
£28,982 - £37,768
Based in Milton Keynes
Temporary contract for 12 months

The Knowledge Media Institute (KMi) is looking for a bright and ambitious post-doctoral researcher to complement the Open University’s Data Science Group, working at the interface between computer...

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