Thursday, April 7, 2016
11am ET | 10am CT | 8am PT | 16:00 UTC
Approximately 2 hours long
Agenda ET
11:00am – 11:30am Foundation of Graph Analytics plus Q&A
11:30am – 1:00pm Utilizing GraphDB for your graph analytics needs
11:30am – 1:00pm Utilizing GraphDB for your graph analytics needs
Graph Analytics are a critical component in supporting business strategy. They can help you target content with pinpoint accuracy, identify potential new lifesaving treatments, flag possible fraudulent activities and predict future behavior.
In this webinar, Dr. Arthur Keen, Founder of Keen Analytics will discuss the foundations of graph analytics and the use of GraphDB™ to meet your analytic requirements. Vassil Momtchev, Ontotext Chief Solution Architect will also be on hand to answer questions. They will work on GraphDB™ from Ontotext which is created with the purpose to innovate enterprise analytics and provide you with the strategic advantage your organization needs to get a competitive edge.
If your wish to learn more on the topic here are the topics that will be addressed :
- What is a RDF graph data model and how it can be used for agile data integration and management
- What is SPARQL and how it can be used for querying and managing RDF data graphs
- What are RDFS and OWL (Ontology Web Language) and how they can be used for semantic data modeling as well as creating ontologies or vocabularies for describing data graphs
- Installing, configuring and fine tuning GraphDB database as well as loading data in the system
- Working with a GraphDB Workbench (graphical front-end for managing RDF graph data and databases)
- What are the various reasoning strategies, that RDF graph databases employ to derive new facts and enrich knowledge graphs
- What are some distinguished performance optimizations of the GraphDB database
- What are the various GraphDB extensions for full-text search.
- Working with geo-spatial data, and performing fast analytics over large RDF graphs
- Troubleshooting guide (most common question and their solutions)
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