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Building a Knowledge Graph for Scientific Research with MarkLogic & AWS

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05.26.2021
0 minute read
Back to blog
05.26.2021
0 minute read

The need to easily and efficiently access information to improve pharma R&D processes has never been greater.

However, patchwork IT infrastructure within organizations often results in data silos with decades of research and clinical data. Without proper access and information management, it’s impossible for researchers to accelerate results and lower development costs.

MarkLogic Data Hub Service is a leading enterprise cloud data hub on AWS with built-in semantic search capabilities, allowing you to quickly build knowledge graph-based applications.

Knowledge Graph in Coronavirus Research Hub
Semantic graph view of entities extracted from publications

Read my AWS Partner Network blog to learn about a Consolidated Coronavirus Research Hub that we designed specifically for researchers and data science experts — and built in only six weeks using Data Hub Service.

 

Damon Feldman

Damon is a passionate “Mark-Logician,” having been with the company for over 7 years as it has evolved into the company it is today. He has worked on or led some of the largest MarkLogic projects for customers ranging from the US Intelligence Community to HealthCare.gov to private insurance companies.

Prior to joining MarkLogic, Damon held positions spanning product development for multiple startups, founding of one startup, consulting for a semantic technology company, and leading the architecture for the IMSMA humanitarian landmine remediation and tracking system.

He holds a BA in Mathematics from the University of Chicago and a Ph.D. in Computer Science from Tulane University.

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