Services
Purchase an archived recording - July 2008: Faceted Search and Digital Asset Management:
Leveraging Taxonomies and Metadata to Improve Findability
Cost: 50$
Description:
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. Still images, video, audio clips and other non text 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
Then Dr. Marti Hearst of Barkly University will talk about Faceted Search.
About your presenters:
Michael Moon, President and CEO, GISTICS Inc.
Executives worldwide recognize Michael as a dynamic lecturer and international authority on global multichannel brands, marketing operations management, and digital asset management. He leads a think tank that facilitates new market creation for enterprise and consumer technologies, harnessing social networks of emerging markets.
Michael has delivered more than 350 keynotes, presentations, executive seminars, workshops, and Web-based Webinars around the world, authored the book, Firebrands: Building Brand Loyalty in the Internet Age (now available in 13 languages).
Michael Moon also co-chairs the prestigious international conferences on Marketing Operations Management (http://www.MOMsymposium.com) and Digital Asset Management (http://www.DAMusers.com), and serves as the Editor in Chief of the Journal of Digital Asset Management (http://www.palgrave-journals.com/dam/index.html | http://www.palgrave-journals.com/dam/journal/v4/n1/index.html) and Blogger in Chief if What’s Your Google Strategy (http://www.whatsyourgooglestrategy.com/)
Michael and his team advise international-brand corporations on multichannel strategies for brand management and digital asset management, including Amway, Boeing, Disney, Ericsson, Frank Russell Company, Gap, General Motors, FCB, Hallmark, Hasbro, IBM, Leo Burnett, Nokia, Philips, SanomaWSOY, SAP, TeliaSonera, Thomson Corporation, Time, VF Corp, and Warner Bros.
Dr. Marti Hearst, Associate Professor, School of Information at UC Berkley
Dr. Marti Hearst is an associate professor in the School of Information at UC Berkeley, with an affiliate appointment in the Computer Science Division. Her primary research interests are user interfaces and visualization for search engines, computational linguistics, and empirical analysis of social media.
She received BA, MS, and PhD degrees in Computer Science from the University of California at Berkeley, and she was a Member of the Research Staff at Xerox PARC from 1994 to 1997. Prof. Hearst is on the editorial boards of ACM Transactions on the Web and ACM Transactions on Computer-Human Interaction and was formerly on the boards of Computational Linguistics, ACM Transactions on Information Systems, and IEEE Intelligent Systems, and was the program co-chair of HLT-NAACL '03 and SIGIR '99. She has received an NSF CAREER award, an IBM Faculty Award, a Google Research Award, an Okawa Foundation Fellowship, and two student-initiated Excellence in Teaching awards.