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
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
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
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
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
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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