Visual graph exploration helps you delve quickly into your data as it is. But what if you can create your own graph views on top of your data? How to address the challenges when changing the graph visualization according to a custom ontology schema, or hide provenance or another meta-data information?
In the imperfect world of open data, your graph often contains nodes and edges that should be combined to obtain a meaningful one. Or you may want to create more than one views over the same data, creating your virtual nodes and edges based on the existing ones. This is all doable with the power of the SPARQL language. Advanced visual graph configuration combines the power of visual representation and SPARQL to obtain easy to understand graph views with exploration designed by you to match your data and your needs.
Webinar Duration: 60 minutes
Live Webinar: Yes
Live Question Answering: Yes
Resource After Webinar: Recording
Senior Software Developer, GraphDB DevEx
Desislava Hristova has a BS in Computer Science from Sofia University. In recent years, she is developing mainly the GraphDB Workbench both back and front-ends. She is currently leading the visual data representation extensions. Before that, she was part of the Web Mining team developing HTML specific annotation tool.
CTO & Data Management and Products
Vassil’s speciality at Ontotext is the development of solutions in the life sciences, pharmaceutical, and healthcare domains. He has been involved in developing innovative information systems for Pharma and adopting the latest trends from applied research for more than 15 years now. Vassil has coordinated several EU funded research projects and has a few years as a board member behind his back.