Thursday, October 25, 2018

Rights, Classification and Search Relevance for News - A Short Wrap Up of the IPTC Toronto Meeting

Last week, the IPTC held its Autumn meeting, a chance for people from around the world who have a common interest in news and media technology to discuss standards and learn from each other.

We had an entire day dedicated to news search, classification and descriptive metadata. AP's own Chad Schorr discussed our use of Elastic for robust indexing of content, Veronika Zielinska discussed AP's rules-based automated news classification system, and I reviewed our new automated tagging for images. We also heard from our peers at Bloomberg, New York Times, DPA and NTB on their systems. Finally, we had the opportunity to hear directly from Elastic on their suggestions for the best way to use their tools for news and media content.

A fairly momentous event for IPTC this year was Google Image's agreement to display image credit metadata for photos. This follows many years of discussions between IPTC, CEPIC and many others with the search giant. These talks came to a head during the CEPIC Congress / IPTC Photo Metadata Conference in Berlin in May 2018 and I'm very glad to see that concrete changes to Google Images use of metadata followed swiftly after. During the discussion of IPTC's Rights work for the news and media industry, we discussed ways to build on this progress - centred on driving adoption of the RightsML standard for machine processable expressions of rights and restrictions. We also discussed ways that IPTC could cooperate with other organizations, such as Europeana, to drive adoption of rights metadata.

As with other IPTC face-to-face meetings, there were many other interesting presentations and discussions, including the latest developments in video metadata, sports data and hearing from Civil on their plans for blockchain-backed journalism. For a more complete overview, checkout IPTC's posts on Day 1 and Day 2. And consider joining IPTC's next face-to-face meetings in Lisbon and Paris.

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