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Using Knowledge Graphs to Search an Enterprise Data Lake

  • Stefan SchmidEmail author
  • Cory Henson
  • Tuan Tran
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11762)

Abstract

This paper summarizes our research & development activities in building a semantic data management platform for large enterprise data lakes, with a focus on the automotive domain. We demonstrate the use of ontology models to systematically represent, link, and search large amounts of automotive data. Such search capability is an important enabler for Hadoop-based big data analytics and machine learning. These findings are being transferred to a productive system in order to foster the advanced engineering and AI at Bosch Chassis Systems Control (CC), especially in the automated driving area.

Keywords

Semantic data management Ontologies Semantic search Big data 

References

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    Compton, M., et al.: Sensor data provenance: SSNO and PROV-O together at last. In: Proceedings of 7th International Workshop on Semantic Sensor Networks (SSN), ISWC, pp. 67–82 (2014)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Corporate ResearchRobert Bosch GmbHRenningenGermany
  2. 2.Corporate ResearchRobert Bosch GmbHPittsburghUSA
  3. 3.Chassis Systems ControlRobert Bosch GmbHAbstattGermany

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