About This Webinar
Aired Live on: February 21, 2019 @ 11:30 am ET
Why are knowledge graphs relevant to data governance? The answer lies in key characteristics. Knowledge graphs are:
- Flexible – graphs are the most flexible formal data structures
- Evolvable – able to accommodate diverse data and metadata
- Semantic – the meaning of the data is stored alongside the data in the graph
- Intelligent – semantics of data are explicit and enable data validation and drawing conclusions and new information from the available data
These qualities make knowledge graphs an ideal and, arguably, the only viable foundation for bridging and connecting enterprise metadata silos – the main goal of data governance.
Who Should Attend: Enterprise Architects, Solution Architects, Data Architects, Chief Data Officers and Chief Information Officers, Data Governance Project and Program Managers, Data Stewards, Data Quality Managers, IT Implementers, Business Intelligence Program Managers and Data Warehousing Program Managers.
In this webinar we will discuss the following:
- Provide a brief history of Knowledge Graphs
- Give examples of what they are good for
- Show how they provide a powerful platform for integrated data management and governance
More on the Presenters:
Irene Polikoff 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.
Dr. Jan Voskuil has over 20 years’ experience in architecting information systems and IT with complementary experience in business, consulting, academia and research. As CEO of Taxonic, Jan drives Taxonic’s strategy in the semantic technology space. As an information architect, Jan continues to apply TopQuadrant’s products in real-life situations to leverage the power of knowledge graphs and the semantic web. Key interests in this connection are asset management and data governance, in multiple domains.