With a knowledge graph it is possible to display the interrelationships of large amounts of data and to convert these into insights that serve for decision making and knowledge discovery.
The German National Library of Science and Technology (TIB) will be presenting the functionality and various applications of knowledge graphs at the Lower Saxony Pavilion at CEBIT 2018.
Whether in healthcare or in manufacturing - Big Data tools are used wherever large amounts of data are generated. However, due to problems such as interference and missing data, these tools often provide inaccurate analysis. The TIB is developing a Big Data integration framework based on Semantic Web technologies such as ontologies, Linked Data and controlled vocabularies to generate a knowledge graph that links data with acquired knowledge. The knowledge graph enables the identification of precise and meaningful patterns and relationships between entities.
The Big Data framework is already being applied to biomedical and scientific data, for example to analyse interactions between medications and proteins. EU-funded research projects "IASIS - Big Data for Precision Medicine" and "BigMedilytics - Big Data for Medical Analytics" provide examples of this. The project "BOOST 4.0 - Big Data for Factories" deals with possible applications in industry.
Visit us from 12 to 15 June 2018 at CEBIT at the Lower Saxony Pavilion in Hall 16, Stand G17, and find out more about the TIB Knowledge Graph.
We are looking forward to meeting you!