AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CEO, Access Innovations, USA) Marjorie Hlava (President of Access Innovation, USA)
How do you find video when you only have sparse data? While you can wander the stacks (if you can still find open stacks) for inspiration, video either physical or digital, is difficult to discover. Wandering the virtual stacks is, well, virtually impossible. Discovery platforms on the whole have not replicated the inspirational experience of wandering the stacks.
More companies are using archivable video for internal communication of the various research projects, product developments, test results, and more that are being considered, in progress, or completed. Showing how an experiment was conducted can convey considerably more information that is very difficult to communicate via text. How do you find a company video that might be helpful for your project?
A case study is presented of the problems and the solutions that were implemented by a large, multinational chemical company. A suite of content discovery technologies was used including a video to text to tagging system connected to their documents database and automatically indexed using several chemical as well as conceptual systems (rule-based, NLP, inference engine). To build the system and support the manuscript and video submission there is a metadata extraction program which pulls and inserts the metadata into the submission forms so the author can move quickly through that process.
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...Dr. Haxel Consult
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AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CEO, Access Innovations, USA) Marjorie Hlava (President of Access Innovation, USA)
17. Questions to ponder
❖ How do you find what you’re looking for?
❖ How do you know what you want?
❖ How do you know you found it?
❖ How do you know, if you’ve missed
something?
❖ How do you replicate wandering the
stacks in the Age of Google?
19. Case Study
❖ Access Innovations, Inc.
❖ Changing ‘search’ to ‘found’
❖ Why we do it – the problem
❖ How we do it – the solution
❖ Case study on metadata for video
21. Promising
solutions for
improving the
accuracy of
content
metadata
❖ Standards - Check out the NISO Library on their
web site
❖ Consortiums for clean data
❖ Share, check, and enhance metadata
❖ Automate as much of manuscript submission &
peer review as possible
❖ Clean up the author synonymy
❖ Enhance your content and the audiences it
represents worldwide
❖ THE GOAL
❖ High integrity, accurate, consistent content
26. Atypon
Production
How is it done
10/11/2022
Provisional
Acceptance
Article
Submission
Revision
Review –
Link to
Portal
Web based
Deputy
Editor Key
Term
Review
Portal
Review, add,
delete, submit
Key Term
update in
article XML
New Taxonomy
terms
New
Taxonomy
updated
SKOS file
Accept
Article XML
Concept
Taxonomy
MPNS
Name
verification
Taxogene
Human
Genome
Tagging
Suspect
Science
Filter
Bad Cell Lines
Identification
SciGen
Identification
After Todd Ware of ACP
ICD_10
CPT
HCPCS
Coding