Faceted Search and Digital Asset Management
Cost: $50.00
Digital Asset Management (DAM) systems are similar to other kinds of content management tools but present unique challenges around describing and locating content that typically lacks a great deal of narrative text. Images, video, audio clips, and other nontext assets are more challenging to describe and, given the sheer volume of content generated in day-to-day operations, difficult to locate.
Metadata can be used to very precisely characterize content for a process and audience, task, medium, application, resolution, distribution mechanism and other parameters. But the true power of locating the right asset for the right process at the right time can be realized using faceted search technology. Micheal Moon of GISTICS Inc. will describe his organization’s use and challenges by talking about;
- Socialized assets = key
- Funding sources (CMOs and CXOs) want operational capabilities, especially around Brand interaction
- Voice of customer systems = raw content for topics, themes, keywords, and taxonomies
- Text mining transforms =raw content into topic maps: raw metadata for Enterprise Taxonomies and Facets
- Content operations group = who does the work, owns the tagging and metadata governance
- Organization change = reduce hindering forces to change
- Get there with 45-day projects
Dr. Marti Hearst of Berkeley University will conclude the session with a discussion on applications for Faceted Search.


