Monday, January 30, 2017
10:30 AM - 12:00 PM
|Level: ||Technical - Intermediate|
Knowledge graphs are large networks of entities and their semantic relationships. They are a powerful tool that changes the way we do data integration, search, analytics, and context-sensitive recommendations. Knowledge graphs have been successfully utilized by the large Internet tech companies, with prominent examples such as the Google Knowledge Graph. Open knowledge graphs such as Wikidata make community-created knowledge freely accessible.
In this tutorial, we will cover the fundamentals of knowledge graphs and also present specific examples of application areas. We explain how organizations can create their own knowledge graphs and utilize them in novel applications.
In hands-on exercises we will create a small, but real knowledge graph, covering the entire lifecycle including integration and interlinking of existing sources, authoring, visualization, querying, and search. The practical hands-on examples will be performed using the metaphacts Knowledge Graph platform.
The tutorial will cover:
- An introduction to knowledge graphs
- Applications of knowledge graphs in business, industry and cultural heritage
- Creating and interlinking knowledge graphs from existing data
- End-user authoring of knowledge graphs
- Semantic search over rich knowledge graphs
Peter Haase founded metaphacts in October 2014. He has 20+ years of IT experience, with 14+ years in semantic technologies, academia as well as industry. In 2006, Peter obtained his PhD from the University of Karlsruhe (now KIT) under the supervision of Prof. Rudi Studer. Lastly, he worked as Head of Research and Development at fluid Operations AG. Previously, he also worked for IBM in the Silicon Valley Labs in the development team of DB2, as well as for the Fraunhofer Institute for Computer Graphics. Peter has acquired and managed numerous large research projects and also led the development of commercial products and solutions in the area of semantic technologies.