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A Virtual Knowledge Graph for Enabling Defect Traceability and Customer Service Analytics

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12739))

Abstract

In this paper, we showcase the implementation of a semantic information model and a virtual knowledge graph at ZF Friedrichshafen AG company, with two main goals in mind: 1) integration of heterogeneous data sources following a pay-as-you-go approach; and the 2) combination core domain concepts from ZF’s production line with meta-data of its internal data sources. We employ the developed semantic information model in two use cases, defect traceability and customer service, demonstrating and discussing the benefits and opportunities provided by following an agile semantic virtual integration approach.

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References

  1. Halilaj, L., et al.: VoCol: an integrated environment to support version-controlled vocabulary development. In: Blomqvist, E., Ciancarini, P., Poggi, F., Vitali, F. (eds.) EKAW 2016. LNCS (LNAI), vol. 10024, pp. 303–319. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-49004-5_20

    Chapter  Google Scholar 

  2. Pan, A., et al.: The Denodo data integration platform. In: VLDB 2002, pp. 986–989. Morgan Kaufmann (2002)

    Google Scholar 

  3. Sequeda, J.F., Briggs, W.J., Miranker, D.P., Heideman, W.P.: A pay-as-you-go methodology to design and build enterprise knowledge graphs from relational databases. In: Ghidini, C., et al. (eds.) ISWC 2019. LNCS, vol. 11779, pp. 526–545. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30796-7_32

    Chapter  Google Scholar 

  4. W3C: R2RML: RDB to RDF mapping language (2013). https://www.w3.org/TR/r2rml/

  5. Xiao, G., et al.: The virtual knowledge graph system Ontop. In: Pan, J., et al. (eds.) ISWC 2020. LNCS, vol. 12507, pp. 259–277. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-62466-8_17

    Chapter  Google Scholar 

  6. Xiao, G., et al.: The virtual knowledge graph system Ontop (extended abstract). In: (DL 2020) Co-located with (KR 2020). CEUR Workshop Proceedings, vol. 2663 (2020). CEUR-WS.org

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Acknowledgements

We acknowledge the support of the EU H2020 Projects Opertus Mundi (GA 870228) and LAMBDA (GA 809965), and the Federal Ministry for Economic Affairs and Energy (BMWi) project SPEAKER (FKZ 01MK20011A).

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Correspondence to Nico Wilhelm .

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Wilhelm, N., Collarana, D., Lehmann, J. (2021). A Virtual Knowledge Graph for Enabling Defect Traceability and Customer Service Analytics. In: Verborgh, R., et al. The Semantic Web: ESWC 2021 Satellite Events. ESWC 2021. Lecture Notes in Computer Science(), vol 12739. Springer, Cham. https://doi.org/10.1007/978-3-030-80418-3_36

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  • DOI: https://doi.org/10.1007/978-3-030-80418-3_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80417-6

  • Online ISBN: 978-3-030-80418-3

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