ICIC 2016: New Product Introduction Deep SEARCH 9

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Deep SEARCH 9 is Data Analysis for the Web. Combined indexing and search of structured and unstructured sources from the Surface Web, the Deep Web and the Dark Web and corporate data ensure that employees in every part of the organization have access to the information they need without having to use public search engines. A powerful Application Builder for creating 360° information applications to bring information and analytics together and deliver them to users in a new SEARCH experience. Advanced content analytics to aggregate, analyze and visualize unstructured (natural language) content to reveal hidden insights and patterns. Deep SEARCH 9 is the only Web scale analytic search solution that offers corporations a proprietary and anonymous search solution by combining web crawling, content analytics, data linking and search. More info at: http://www.deepsearchnine.com

Internet

1 © 2016 Deep SEARCH 9 GmbH1
Deep SEARCH 9
Reach out to sources nobody has searched before
to gather new intelligence.

2 © 2016 Deep SEARCH 9 GmbH2
❸ Blending disciplines like search, big
data analysis and semantic web is the
technological base of choice for a
proprietary intelligence system.
❷ Based on information collected
from all specified sources, applications
bring the gathered intelligence to the
ultimate recipient.
❶ There are many areas in which a
corporation‘s interest is of business
critical importance and calls for the
installation of an intelligence service
Focused Intelligence Systems

3 © 2016 Deep SEARCH 9 GmbH3
Deep SEARCH 9 2.0
Improved Performance for a better user experience
Optimized workflows
Upgrade to Elasticsearch 2.5
Competitive Technology Intelligence
Browser farm based crawling
Fall Release 2016
ThisisNew!
A solution for continuous monitoring of high priority targets
2 Components: CTI Watch and CTI Archive Search

4 © 2016 Deep SEARCH 9 GmbH4
Improved Performance for a better user experience
Optimized workflows
SaaS Cluster
UnrelatedIPAddresses
Company Intranet
User interaction! Bandwidth requirements
Deep SEARCH 9 2.0
Targets in the Web

5 © 2016 Deep SEARCH 9 GmbH5
New architecture limits bandwidth requirememts of frontend
Drag and drop where possible
Implement workflows learned from users
Multi window to speed up information lookup
Deep SEARCH 9 2.0
Improved Performance for a better user experience
Optimized workflows

6 © 2016 Deep SEARCH 9 GmbH6
Upgrade to Elasticsearch 2.5 (Improved Stability)
Deep SEARCH 9 2.0
Improved Performance for a better user experience
Optimized workflows
New architecture limits bandwidth requirememts of frontend
Drag and drop where possible
Implement workflows learned from users
Multi window to speed up information lookup

7 © 2016 Deep SEARCH 9 GmbH7
Browser farm based crawling
We now get pages that load data dynamicly,
Pages that modify content on user interaction
And pages that only accept requests from browsers
Deep SEARCH 9 2.0

8 © 2016 Deep SEARCH 9 GmbH8
Browser farm based crawling
Deep SEARCH 9 2.0
We now get pages that load data dynamicly,
Pages that modify content on user interaction
And pages that only accept requests from browsers

9 © 2016 Deep SEARCH 9 GmbH9
Browser farm based crawling
Deep SEARCH 9 2.0
We now get pages that load data dynamicly,
Pages that modify content on user interaction
And pages that only accept requests from browsers

10 © 2016 Deep SEARCH 9 GmbH10
Fall Release 2016
Deep SEARCH 9 2.0
Improved Performance for a better user experience
Optimized workflows
Upgrade to Elasticsearch 2.5
Browser farm based crawling

11 © 2016 Deep SEARCH 9 GmbH11
Fall Release 2016
Competitive Technology Intelligence
A solution for continuous monitoring of high priority targets
2 Components: CTI Watch and CTI Archive Search

12 © 2016 Deep SEARCH 9 GmbH12
CTI Watch

13 © 2016 Deep SEARCH 9 GmbH13
CTI Watch + CTI Search

14 © 2016 Deep SEARCH 9 GmbH14
CTI Watch + CTI Search
Getting trustworthy information from its origin
Stay focused and be organized
Be the most specific but the least limited
You can manage your CTI targets yourself
Get the most recent but search the most valuable

15 © 2016 Deep SEARCH 9 GmbH15
Outside at our booth or
Klaus Kater
Founder and Managing Partner
klaus.kater@deepsearchnine.com
Contact

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AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...

Dr. Haxel Consult

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...

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

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

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

Dr. Haxel Consult

AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...

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!

AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...

Dr. Haxel Consult

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