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Tech Report kmi-00-09 Abstract


Scholarly Discourse as Computable Structure
Techreport ID: kmi-00-09
Date: 2000
Author(s): Simon Buckingham Shum, John Domingue and Enrico Motta
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In their initial proposal for structural computing (SC), NŸrnberg et al. [18] point to hypertext argumentation systems as an example of an application domain in which structure is of first-order importance. In this paper we summarise the goals and implementation of a knowledge based hypertext environment called ScholOnto (for Scholarly Ontologies), which aims to provide researchers with computational support in representing and analysing the structure of scholarly claims, argumentation and perspectives. A specialised web server will provide a medium for researchers to contest the significance of concepts and emergent structures. In so doing, participants construct an evolving structure that reflects a community's understandings of its field, and which can support computational services for scholars. Using structural analyses of scholarly argumentation, we consider the connections with structural computing, and propose a number of requirements for generic SC environments.

Publication(s):

Second International Workshop on Structural Computing, San Antonio, Texas, June 3, 2000. ACM Hypertext 2000 [www.ht00.org]
 
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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.