KMi Publications

Tech Reports

Tech Reports 2008


The Use of Ontologies for Improving Image Retrieval and Annotation
Techreport ID: kmi-08-08
Date: 2008
Author(s): Ainhoa Llorente Coto
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A Process Memory Platform to Support Participatory Planning and Deliberation
Techreport ID: kmi-08-07
Date: 2008
Author(s): Anna De Liddo
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Semantic Enrichment of Folksonomies
Techreport ID: kmi-08-06
Date: 2008
Author(s): Sofia Angeletou
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Probabilistic Methods for Data Integration in a Multi-Agent Query Answering System
Techreport ID: kmi-08-05
Date: 2008
Author(s): Miklos Nagy, Maria Vargas-Vera, Enrico Motta
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Evolva: Towards Automatic Ontology Evolution
Techreport ID: kmi-08-04
Date: 2008
Author(s): Fouad Zablith
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Modelling social context to improve online multimedia search
Techreport ID: kmi-08-03
Date: 2008
Author(s): Adam Rae
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Designing the Ontological Foundations for Knowledge Domain Analysis Technology: An Interim Report
Techreport ID: kmi-08-02
Date: 2008
Author(s): Neil Benn, Simon Buckingham Shum, John Domingue, Clara Mancini
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From Aristotle to Gabriel: A Summary of the Narratology Literature for Story Technologies
Techreport ID: kmi-08-01
Date: 2008
Author(s): Joanna Kwiat
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KMi Publications
 

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.