Building Collaborative Knowledge Representations in Real Time
This event took place on Tuesday 05 October 2004 at 12:30
Al Selvin
Software tools for collaborative construction of knowledge representations have existed for several decades. Despite their potential, use of such tools has yet to grow beyond a small universe of academics and practitioners. My research is aimed at expanding this universe by attempting to understand and characterize skilled practice in the facilitation of such representations. Most of the limited work in this area looks at either novices (e.g., learning how to construct such representations), on outcome measures such as participant satisfaction, or on the characteristics of the knowledge artifacts and technologies themselves. I am focusing instead on the "high end" of skilled or expert practice. To do this, I am closely analyzing Camtasia recordings of Compendium sessions and attempting to build a grounded theory analysis of practitioner (facilitator) "moves" in the context of the sessions. This talk reports on the first of these analyses, of a 137-minute Webex and teleconference Compendium session held with a team of scientists participating in the NASA Mobile Agents field trial in May 2004. I analyze 761 facilitator statements and Compendium moves, which were categorized in such terms as degree and kind of engagement, areas of focus, type of move, and other criteria.
Download PowerPoint Presentation (5Mb ZIP file)
Spreadsheet referenced in talk (HTML copy)
Mobile Agents Movie Clip (7.4Mb QuickTime 6 file)
This event took place on Tuesday 05 October 2004 at 12:30
Software tools for collaborative construction of knowledge representations have existed for several decades. Despite their potential, use of such tools has yet to grow beyond a small universe of academics and practitioners. My research is aimed at expanding this universe by attempting to understand and characterize skilled practice in the facilitation of such representations. Most of the limited work in this area looks at either novices (e.g., learning how to construct such representations), on outcome measures such as participant satisfaction, or on the characteristics of the knowledge artifacts and technologies themselves. I am focusing instead on the "high end" of skilled or expert practice. To do this, I am closely analyzing Camtasia recordings of Compendium sessions and attempting to build a grounded theory analysis of practitioner (facilitator) "moves" in the context of the sessions. This talk reports on the first of these analyses, of a 137-minute Webex and teleconference Compendium session held with a team of scientists participating in the NASA Mobile Agents field trial in May 2004. I analyze 761 facilitator statements and Compendium moves, which were categorized in such terms as degree and kind of engagement, areas of focus, type of move, and other criteria.
Download PowerPoint Presentation (5Mb ZIP file)
Spreadsheet referenced in talk (HTML copy)
Mobile Agents Movie Clip (7.4Mb QuickTime 6 file)
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Semantic Web and Knowledge Services is...
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.
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