Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Building the Inform Semantic Publishing Ecosystem: from Author to Audience
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More Meaning. Better Results.
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Building the Inform Semantic Publishing Ecosystem:
from Author to Audience
Marc Hadfield
VP, Research & Development
marc@inform.com
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Marc Hadfield
• Semantic Technology, Computer Science
• Inform Technologies (Head of R&D)
‣ Semantic Technologies applied to Content Analysis & Distribution
• Alitora Systems (Co-Founder / CTO)
‣ Life Science Semantic Technology, Research, Big Data Analytics, Semantic HPC
‣ Life Science Natural Language Processing
• Columbia Genome Center
‣ NLP applied to Life Science Research Articles
• LCconnect (CTO)
‣ Letter-of-Credit Exchange
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What is Inform?
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• Inform is a content enrichment solution designed to increase consumer
engagement, page views and revenue.
• We provide a hosted Semantic Web Service for content publishers that:
1. Reads your article before you publish it
2. Turns main topics and entities (people, places, companies, organizations) into links
3. Provides feeds of related web content when you publish it
• New Direction: Optimizing Content Distribution via Direct Channels
• Web users moving away from destination web sites, but still want the destination web
site content.
• Companies utilizing Inform include:
5. Connecting your content
55
Audio, Video & Blogs
from the Web
Articles from
the Web
Content from Inform
Your Affiliates’ Content
Your Content
Affiliated
Content
Your
Content
Licensed
Content
Google Street View Topic 0.90
Google Company 1.00
Ireland Place 0.70
Norway Place 0.70
South Africa Place 0.70
Sweden Place 0.70
Brian McClendon Person 0.80
Mountain View, California Place 0.60
Wi-Fi Topic 0.50
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My Job: Building the Semantic Platform…
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• “Silo”-ed Semantic Technology Semantic Web
‣ Aligned with Wikipedia, Leverage Linked Data for Mash-Ups
‣ RDFa, SKOS, Semantic SEO
• Semantic / NLP Engine
‣ Improve Features, Quality
• Semantic Data Infrastructure
‣ Scalable Infrastructure
• Semantic Data Analysis
‣ Algorithms (Topology of Graphs), Inference
‣ “PageRank” on semantic data
• Personalization, Usage Analysis
• Micro Sites
‣ Clusters of Topics, Generating Rich Content Experience
• Distributing to Social Platforms
‣ i.e. Facebook