IPTC Autumn Meeting 2017

The Art and Science of Practical Metadata

Metadata makes content usable – enriching search, enabling navigation and letting news publishers and consumers slice up content into relevant subsets. But what types of metadata should be applied? What is the best way to apply that metadata to content?

A discussion of the practicalities of metadata for the news and media industry. Topics include:

• What types of metadata are useful for which use cases?
• What are the pro’s and con’s of the different techniques for applying metadata – by hand, rule-based, statistical, Machine Learning, Deep Learning…?
• Do different media types require different types of metadata? Text, photo, video, audio, AR, VR… How do harmonize across the different media types, e.g. for search?
• Exactly how much metadata do you need? How do you strike the right balance between completeness and efficiency? Should metadata be maintained and delivered together with the content or independently (e.g. as sidecar XML or via an API)?
• Keeping metadata fresh – how do you manage the metadata applied to content over time – as stories evolve during the news cycle and in your archive of published material?
• For an individual item, do you need metadata about the metadata – for example to track the changes to metadata, where it came from or to deal with contradictory metadata?
• What kinds of metadata are useful to drive content analytics?

If you are interested in joining this discussion as speaker or as member of a panel discussion let us know about that by 30 September 2017: office@iptc.org

Web: https://iptc.org/events/autumn-meeting-2017/