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iServe

KMi Technologies | Hot
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

Technology Champion: Carlos Pedrinaci
Further Information Email | Carlos Pedrinaci


URL: http://iserve.kmi.open.ac.uk


External Publications

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

Publications | Visit External Site for Details

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

Publications | Download PDF Publications | Visit External Site for Details

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

Buckingham Shum, S., Aberer, K., Schmidt, A., Bishop, S., Lukowicz, P., anderson, S., Charalabidis, Y., Domingue, J., Freitas, S., Dunwell, I., Edmonds, B., Grey, F., Haklay, M., Karpistsenko, M., Kohlhammer, J., Lewis, J., Pitt, J., Sumner, R. and Helbing, D. (2012) Towards a global participatory platform: democratising open data, complexity science and collective intelligence, European Physical Journal, 214, 1, pp. 109-152, Springer

Publications | Visit External Site for Details

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

View all 24 publications
 
 
The Open University KMi Event | SSSW08 Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

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.