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Tech Report kmi-98-03 Abstract


Managing Persistent Discourse: Organizational Goals and Digital Texts
Techreport ID: kmi-98-03
Date: 1998
Author(s): Tamara Sumner, Simeon Yates, Simon Buckingham Shum and Jane Perrone
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Prior to digital communications media, texts were primarily judged using hidden but assumed institutional practices (e.g., journal peer review processes, editorial mediation). Increasingly, digital communications media can make these previously invisible discursive practices visible in a persistent medium. Doing so transforms these discourses into texts where they are subject to: (1) a reader's interpretation and judgment and (2) explicit manipulation by writers or publishers seeking to influence this interpretative process. In this article, we focus on managed persistent discourse where explicit practices and roles are adopted within an institution to actively manipulate and transform digitally-preserved discourse, with the aim of influencing readers' interpretative processes in ways that reflect organizational goals. We examine in detail two cases political manifestos in the UK and an interactive journal with on-line peer review to illustrate these new roles and practices, and the different organizational goals the managed discourse is used to support.
 
KMi Publications Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.