Lessons learned from next generation data: knowledge graphs and machine learning

Building massive knowledge graphs and applying machine learning models to our metadata infrastructures means we can generate a step-change in our levels of understanding about library collections and revolutionise the processes we use to steward billions of records, in OCLC’s case, with WorldCat. For example, machine learning means we can identify duplicate bibliographic records without human intervention with more than 95% accuracy and at far greater speeds. The potential is only just beginning to be unlocked, and, as we transition away from MARC towards coded, shareable, linkable components that are more completely understood by machines, there will be even greater opportunities for libraries to transform the quality, equity, and accuracy of metadata in increasing volumes. During this session Ryan Shondell, OCLC’s Executive Director of Data Services will share what we’ve learned from OCLC’s work in this area and, from managing its new ultra-scale linked data infrastructure.

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Biography

Ryan Shondell is the Executive Director of Data Services at OCLC, responsible for developing and executing the company’s data strategy and aligned technology. This includes data quality, curation, and technology development of AI/ML capabilities, analytics, search, and all customer-facing data applications and APIs. OCLC’s data footprint spans more than 10 petabytes across relational and graph databases both on premise and in the cloud.

Prior to joining OCLC, Ryan held multiple senior engineering leadership positions at VMware going back to 2010. His most recent role was Senior Director of Engineering for VMware's Customer Success business. There he was responsible for all design, software, and data functions, launching the company’s first ML-powered proactive intelligence and issue resolution product.

About our sponsor:

OCLC is a nonprofit global library cooperative providing shared technology services, original research and community programs so that libraries can better fuel learning, research and innovation. Through OCLC, member libraries cooperatively produce and maintain WorldCat, the most comprehensive global network of data about library collections and services.


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