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Validating Data Categories using Knowledge Graphs

One of the challenges in protecting consumer privacy and managing data risk is the ability to validate that privacy-related data from across our data ecosystem has been identified and categorized accurately and consistently. This challenge has become especially salient in light of recent legislation like GDPR and CCPA. At Capital One, the 2nd line is using standardized semantic models (ontologies) and technology to validate whether data is privacy-related as well as recommend privacy categories to data producers.
Topic
Finance
Keywords
California Consumer Privacy Act, , finance, ontology, knowledge graph, European General Data Protection Regulation, recommender system, privacy

Additional Information

Bethany Sehon

2

Capital One

Bethany leads a team of product managers, ontologists, data scientists, and data analysts, enhancing Capital One’s data management capabilities around metadata collection, quality and best practices. Bethany is also responsible for establishing the Ontology practice, a capability that is being used to facilitate a common understanding of the data and analytics across the Capital One ecosystem.

Brian Donohue

2

Capital One

As an Ontologist in Enterprise Data Management, Brian is responsible for leveraging semantic technology to mitigate data risk and promote a shared understanding of data across Capital One. Prior to joining Capital One, Brian spent 3 years at a Research and Defense company as a developer and curator of the Common Core Ontologies: a suite of open source, mid-level ontologies currently under consideration as a NIST Standard in Artificial Intelligence. Brian holds a Ph.D. from the University at Buffalo (SUNY), and is also an affiliate member of the National Center for Ontological Research. His research has focused on applications of formal ontology to cybersecurity, situational awareness, aircraft maintenance, geopolitics, natural language user interfaces, and legal and regulatory compliance.

Lightening talks from the Main Stage along with speaker Q&A sessions

May 4-7, 2020

Virtual

Knowledge Graphs form an organized and curated set of facts that provide support for models to help understand the world. This conference gathers technology leaders, researchers, academics, vendors — and most importantly, practitioners, who know the discipline. For KGC 2020, attendees can participate from wherever they want in the world, from the comfort of their homes. We will stream the content, provide access to our speakers and support chat and networking as well as give access to all of the content live and on-demand after the event.