Submitted by KristaThomas on Mon, 12/07/2009 - 14:25.
Based on some forum chatter, I realized that we haven't shared our latest publisher case studies - including The New Republic and Associated Content - here in the blog. Rather, we posted them out on Slideshare and linked to them in the newsroom.
So I think it's worthwhile to also link to that PPT here - which we developed for the U.C. Berkeley Media Technology Summit at Google - and to detail below some of the ways that publishers are using the RDF that the OpenCalais service returns.
Get Efficient
• Streamline content ops to drive editorial productivity
• Automatically categorize content with both IPTC news codes & ‘social tags’ that use everyday terms
• Automatically tag the people, places, companies, facts & events in content
• Automatically integrate archived materials
Get Engaged
• Improve search & navigation to make it easy for readers to find what they want.
• Automatically populate recommendation widgets & related stories sidebars
• Automatically create ‘topic hubs’ on trending issues & breaking news
• Automatically integrate relevant data, related media, information from Wikipedia entries, etc.
Get Smart
• Optimize search engine ranking through better SEO.
• Inform advertising placement and drive click-through
• Improve syndication to search engines, news aggregators, ‘recommended reading’ apps., etc.
Get Specialized
• Triage content based on local relevance & impact
• Triage content based on preferences or behaviors
• Triage content based on topic, industry, special interests, perspective, etc.
Please feel free to post any questions below and we will be happy to jump in.
Best,
-Krista
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