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Tech Report kmi-05-17 Abstract


Aesthetic and Ethical Implications of Participatory Hypermedia Practice
Techreport ID: kmi-05-17
Date: 2005
Author(s): Al Selvin
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This report summarizes my first year of doctoral study at KMi and presents a proposal for the remaining work leading up to the dissertation. My research concerns expert human performance in helping people construct representations of difficult problems  a practice I refer to as participatory hypermedia construction (PHC). I am particularly interested in what happens when practitioners encounter sensemaking moments, when they must improvise in order to move forward, and in the aesthetics and ethics of their actions at such moments. Little is known about the practice of constructing hypermedia representations despite more than twenty years of existence of tools and surrounding research. What are the components of expertise in this domain? What are people who are able to work fluidly with the medium, especially in highly dynamic and pressured situations, actually able to do? In what ways does this expertise compare to that of analogous professions and practices? My research aims to provide answers to these questions. In the past twenty months, I have explored a variety of approaches to begin to characterize and categorize PHC expertise, including a literature review, experiments in collaborative hypermedia authoring, and a grounded theory and critical incident analysis of in situ expert practice. I have constructed a preliminary taxonomy of practitioner moves and performed a deep analysis of the aesthetic, ethical, expertise, narrative, and other dimensions of a series of critical incidents. These activities have given me a good understanding of the issues, timeframes, and risks associated with performing this kind of analysis, which provides the basis for a proposal to create a survey and critical review of the contributions and gaps in existing research literature; provide a language for characterizing expert practice in participatory hypermedia construction, including a taxonomy of concepts; validate the language and taxonomy against deep observation of in situ practice, and extend the work of other researchers looking at analogous practices.

Publication(s):

Technical Report KMI-05-17, Knowledge Media Institute, The Open University, UK
 
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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.