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Tuesday, March 19, 2019
11:30 AM - 12:30 PM
Various NoSQL technologies, such as graph data models, are becoming a popular approach for data and metadata management due to their flexibility. This quality, combined with evolvability and a focus on relationships, make graphs an excellent choice for applications in many areas including social networks, recommendation/personalization, fraud detection, 360-degree views (correlating data from multiple sources) and asset management (digital assets, data catalogs, and governance).
In addition to graph databases, you have probably heard the term “knowledge graphs” and how Google and Microsoft are using them for smart search. A knowledge graph is a special kind of graph, that combines flexibility and evolvability with the following two additional qualities that make them “smart":
- Semantic – the meaning of the data is stored alongside the data in the graph, in the form of ontologies or semantic models.
- Intelligible – semantics of data are explicit and include formalisms for supporting inferencing and data validation.
As a result, knowledge graphs offer a strategic NoSQL approach, capable of meaningfully bridging enterprise metadata silos. In this presentation we will:
- Provide a brief history of Knowledge Graphs
- Give examples of what they are good for
- Discuss how they provide a powerful platform for integrated data management and governance
- Explore their relationship to:
- semantic technology including knowledge representation and machine learning
- the movement towards flexible application APIs using GraphQL
Irene Polikoff, the CEO and co-founder of TopQuadrant, was a co-chair of the W3C SHACL Working Group and is now a co-chair of the W3C SHACL Community Group. She has more than two decades of experience in software development, management, consulting, and strategic planning. Since co-founding TopQuadrant in 2001, Irene has been involved in more than a dozen projects in government and commercial sectors. She has written strategy papers, trained customers on the use of the Semantic Web standards, developed ontology models, designed solution architectures, and defined deployment processes and guidance.
Before co-founding TopQuadrant, Irene was a Principal in the national Knowledge, Content Management, and Portals Practice at IBM Global Services. Prior to that, she was a Senior Development Manager and a Project Executive for IBM Worldwide Consultant's tools and methods. Irene has a master's degree in Operations Research from Columbia University. Ralph Hodgson is a co-founder and the CTO of TopQuadrant, Inc., a U.S.-based company that specializes in semantic technology solutions, tools, consulting, and training, focusing on data governance and lineage. He combines expertise in semantic technologies with over 30 years of experience in business application development and deployment, consulting, software development, and strategic planning. Prior to starting TopQuadrant in 2001, he held executive consulting positions at IBM Global Services where he was a founding member of Portal Practice and Object Technology Practice. Prior to IBM, he was European Technology Director, founder, and Managing Director of Interactive Development Environments, which was an international CASE tools vendor. Ralph is a published author and a frequent speaker at conferences. He has co-authored the books "Adaptive Information," published by John Wiley in 2004, and "Capability Cases: A Solution Envisioning Approach," published by Addison-Wesley in July 2005.
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