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Tech Report kmi-09-05 Abstract


Open Services on the Web
Techreport ID: kmi-09-05
Date: 2009
Author(s): Maria Maleshkova
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The goal of the here described research is to explore the possibilities of combining Semantic Web technologies and fundamental Web principles, including URIs and HTTP, and to apply these on open services on the Web, in order to contribute to a Semantic Web, which is not only an extension of the current Web with more semantic descriptions of data but is rather more dynamic and seamlessly integrates services as sources of that data, which can be automatically discovered, composed and executed by the computer on behalf of its user. This document is the first year probation report of this PhD study on open services on the Web.

Publication(s):

Maleshkova, M., Kopecky, J., and Pedrinaci, C. (2009) Adapting SAWSDL for Semantic Annotations of RESTful Services, Workshop: Beyond SAWSDL at OnTheMove, OTM2009, Vilamoura, Portugal, OTM 2009 Workshops

Maleshkova, M., Pedrinaci, C., and Domingue, J. (2009) Supporting the Creation of Semantic RESTful Service Descriptions, Workshop: Service Matchmaking and Resource Retrieval in the Semantic Web (SMR2) at 8th International Semantic Web Conference, Proceedings of ISWC '09, Washington D.C., USA
 
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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.