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iServe
Future Internet Semantic Web and Knowledge Services
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.
Participant: John Domingue, Dong Liu
URL: http://iserve.kmi.open.ac.uk
Ly, A., Pedrinaci, C. and Domingue, J. (2012) Automated Information Extraction from Web APIs Documentation, The 13th International Conference on Web Information System Engineering (WISE 2012), Paphos, Cyprus, Springer
Lin, C., He, Y., Pedrinaci, C. and Domingue, J. (2012) Feature LDA: a Supervised Topic Model for Automatic Detection of Web API Documentations from the Web, The 11th International Semantic Web Conference (ISWC), Boston, USA
Pedrinaci, C., Liu, D., Lin, C. and Domingue, J. (2012) Harnessing the Crowds for Automating the Identification of Web APIs, Workshop: Intelligent Web Services Meet Social Computing at AAAI Spring Symposium 2012, Stanford, California
Pedrinaci, C., Kopecky, J., Maleshkova, M., Liu, D., Li, N. and Domingue, J. (2011) Unified Lightweight Semantic Descriptions of Web APIs and Web Services, Workshop: W3C Workshop on Data and Services Integration, Bedford, MA, USA
Kopecky, J., Vitvar, T., Pedrinaci, C. and Maleshkova, M. (2011) RESTful Services with Lightweight Machine-readable Descriptions and Semantic Annotations, in eds. Erik Wilde,Cesare Pautasso, REST: From Research to Practice, Springer








