Introduction
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The document summarizes an agenda for a workshop discussing strategies for resource description and discovery without heavy metadata. The agenda includes presentations on automatic metadata generation, linked open courseware, and search engine optimization lessons from an open educational resources project. Attendees will then break into groups to discuss experiences with and future plans for automatic metadata, search engine optimization, social tagging, semantic web approaches, or other topics. The goal is to ensure open educational resources can be coherently organized and managed as a national collection to meet institutional objectives and target key audiences.
Introduction
- 1. Find and Seek tags: CETIS09, CETIS09Find
- 2. Programme 09:00 Introduction 09:15 Presentations & discussion Charles Duncan (Intrallect) Findings of the Automatic Metadata Generation Use Cases project Chris Clarke (Talis) Linked Open Courseware - building towards an ecosystem of resource discovery and reuse Russell Stannard (University of Westminster) Search Engine Optimisation lessons from an individual's OER project 10:45 break 11:30 Workshop What relevant experience do we have, what could be done in the future, how could CETIS and JISC help. 13:00 Finish. Lunch
- 3. Find and Seek How do we support the management, description, discovery and use of educational resources, such as those being created by the OER programme, without mandating large amounts of metadata? Are the days of heavy weight metadata standards and application profiles over? Can we develop new strategies for resource description and discovery?
- 4. Find and Seek Is It Time for a Moratorium on Metadata? Dick C.A. Bulterman, IEEE MultiMedia, vol. 11, no. 4, pp. 10-17, October/December, 2004. “ Creating metadata for text has gone from tedious to insignificant.” “ For nontext data - such as video, images, audio, and so on - direct mining is difficult, but exactly at the point that metadata might be useful, manual creation simply doesn't get done”
- 5. Find and Seek Forms must die Erik Duval, 2005, 2006, 2007. . . http://www.slideshare.net/erik.duval/automatic-metadata-generation “ Librarian metadata doesn't scale” metadata generation is a barrier to content release. Can get results from “content and context” that are as good as those from human-generated metadata.
- 6. Challenge How do we make sure that the content being released (e.g. by the UK OER programme) can be managed as a national resource. - coherent collections by subject - managed to meet institutional objectives - provide benefits targeted at key audiences
- 7. Programme 09:00 Introduction 09:15 Presentations & discussion Charles Duncan (Intrallect) Findings of the Automatic Metadata Generation Use Cases project Chris Clarke (Talis) Linked Open Courseware - building towards an ecosystem of resource discovery and reuse Russell Stannard (University of Westminster) Search Engine Optimisation lessons from an individual's OER project 10:45 break 11:30 Workshop What relevant experience do we have, what could be done in the future, how could CETIS and JISC help. 13:00 Finish. Lunch
- 8. Group Work Consider one of ♦ Automatic metadata generation ♦ Search engine optimisation ♦ Social web (tagging, social network) ♦ Semantic web approaches (e.g. microformats, RDFa) ♦ ? Discuss ♦ What experience you have (e.g. from projects) ♦ What have you learnt? ♦ What could you do in the future? ♦ What would help – advice; work from CETIS, JISC?