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II-SDV 2015, 20 - 21 April, in Nice
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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: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
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Dr. Haxel Consult
Copyright Clearance Center A pioneer in voluntary collective licensing, CCC (Copyright Clearance Center) helps organizations integrate, access, and share information through licensing, content, software, and professional services. With expertise in copyright and information management, CCC and its subsidiary RightsDirect collaborate with stakeholders to design and deliver innovative information solutions that power decision-making by helping people integrate and navigate data sources and content assets. CCC recently acquired the assets and technology of Deep SEARCH 9 (DS9), a knowledge management platform that leverages machine learning to help customers perform semantic search, tag content, and discover new insights.
AI-SDV 2022: Copyright Clearance Center
AI-SDV 2022: Copyright Clearance Center
Dr. Haxel Consult
Lighthouse IP is the world’s leading provider of intellectual property content. The core business of Lighthouse IP is sourcing and creating content from the world’s most challenging authorities. Specialized in IP data, Lighthouse IP provides over 160 countries coverage for patents, over 200 authorities for trademarks and over 90 authorities for designs. Lighthouse IP data is available via several partners. The company is headquartered in Schiphol-Rijk in the Netherlands and has offices in the United States, China, Thailand, Vietnam, Egypt, Indonesia and Belarus. Globally a team of 150 experts works on the creation of this unique data collection.
AI-SDV 2022: Lighthouse IP
AI-SDV 2022: Lighthouse IP
Dr. Haxel Consult
CENTREDOC was created in 1964 as the technical information center of the swiss watchmaking industry. Building on a strong team of engineers, CENTREDOC now offers a complete range of services and solutions for the monitoring of strategic, technological and competitive information. CENTREDOC is also a leader in the research of patent, technical and business intelligence, and offers consulting expertise in the implementation of monitoring solutions.
AI-SDV 2022: New Product Introductions: CENTREDOC
AI-SDV 2022: New Product Introductions: CENTREDOC
Dr. Haxel Consult
The everyday use of AI-driven algorithms for data search, analysis and synthesis comes with important time savings, but also reveals the need to understand and accept the limitations of the technology. Practical deployments on concrete topics are inevitable to assess and manage the challenges of neuronal network based AI. A workshop report.
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
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Dr. Haxel Consult
What if there was a platform where literature, conference abstracts, patents, clinical trials, news, grants and other sources were fully integrated? What if the data would be harmonized, enriched with standardized concepts and ready for analysis? After building our patent analytics platform we didn’t stop dreaming and built our big data analytics platform by semantically integrating text-rich, scientific sources. In my presentation I will talk about what we built and why we built it. And, of course, I will also address the challenges and hurdles along the way. Was it worth it and what comes next? Let’s talk about it!
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Dr. Haxel Consult
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II-SDV 2015, 20 - 21 April, in Nice
1.
Knowing What You
know Jarred McGinnis, PhD Logomachy LTD April 2015
2.
Humans make more
information than is humanly fathomable April 2015
3.
April 2015 Semantic Annotation
4.
• More than
tags. • Free, open and available and good enough light- weight services. • Grounding in Semantics. • Disambiguation (e.g. different people with the same name.) • Identifying Relationships • Exploiting LOD. April 2015
5.
Better Search and
DiscoverabilityApril 2015
6.
April 2015
7.
April 2015 A Means
to Capture Knowledge
8.
April 2015
9.
An Example (Deckard
Tool) April 2015
10.
April 2015
11.
April 2015 Analytics
12.
Dynamic, finer grained management
of content April 2015 Athlete (10000+), Team (200+), Discipline (400+) and venue pages.
13.
April 2015
14.
April 2015
15.
April 2015
16.
April 2015
17.
April 2015
18.
April 2015
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Thank You Jarred McGinnis jarred@logomachy.org April
2015
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