The Future of Metadata

My recent presentation at the 2006 International Conference on Digital Archive Technologies (ICDAT 2006) in Taiwan, dealt with the connection between content, competencies, and context, and how these domains are based upon a foundation of supporting metadata.  Below is a SlideShare version of the slides I used and if you would like to reuse or repurpose any of the slides you can download ICDAT2006.ppt

Some of my key points for the future of metadata included:

• Automated metadata generation (AMG) for producing the vast majority of metadata
• Augmenting AMG with the manual metadata from both mass contribution (consumers) and experts such as librarians, indexers and the like
• Making metadata much more transparent to the end users and remember that metadata is a means to the end of finding (rather than searching!)the "right stuff"
• Metadata "beyond text" to include the vast majority of content which is in the form of video, audio, photos, etc.
• Getting rid of the limiting default definition for metadata as "data about data" and extending it to include such things as metadata on people (e.g. competencies, skills, knowledge), places (e.g. GIS, location based), and equipment
• The power of inferred and implicit metadata, that which can be inferred from existing metadata by their relationships, such as if we know that daughters = female then all instances of daughter are also instances of female
• Capturing and automating "Attention metadata" (patterns of preferences, practices)
• The critical role and need for capturing and using Contextual metadata

After covering some of the history and current myths and misconceptions, I addressed the topic of the future of Learning Objects and covered some of the following points:

• The mass contribution phenomena of consumers providing massive quantities of metadata. Examples include all the metadata for music such as that on CDDB and the metadata being generated by the millions using Flickr and del.icio.us
• The mass customization and personalization of Learning Objects, such that we are able to have "just the right" content at the just the right time, on just the right device or medium, etc.
• Automating the assembly of content in general and Learning Objects in particular
• The inclusion of contextual metadata to enable content assemblies that are ideally matched to the unique situation of each individual

Given that I managed to do the whole presentation without a voice and yet got a rousing applause and extended session of questions afterwards, it appeared that they were able to hear me, and the comments resonated strongly with this audience.

Till next time,

w
a
yne
=====

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i suposed that you will talk about more general about the future of metadata in general first and scifiy about learning

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