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EventKG+BT: Generation of Interactive Biography Timelines from a Knowledge Graph

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The Semantic Web: ESWC 2020 Satellite Events (ESWC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12124))

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Abstract

Research on notable accomplishments and important events in the life of people of public interest usually requires close reading of long encyclopedic or biographical sources, which is a tedious and time-consuming task. Whereas semantic reference sources, such as the EventKG knowledge graph, provide structured representations of relevant facts, they often include hundreds of events and temporal relations for particular entities. In this paper, we present EventKG+BT – a timeline generation system that creates concise and interactive spatio-temporal representations of biographies from a knowledge graph using distant supervision.

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Notes

  1. 1.

    http://eventkg-biographies.l3s.uni-hannover.de.

  2. 2.

    John Quincy Adams was born on July 11, 1767 and his father died on July 4, 1826.

  3. 3.

    https://www.biography.com/.

  4. 4.

    https://www.thefamouspeople.com/.

  5. 5.

    http://eventkg.l3s.uni-hannover.de/timelines.html.

  6. 6.

    http://eventkg-biographies.l3s.uni-hannover.de.

  7. 7.

    http://sparkjava.com/.

  8. 8.

    http://visjs.org/timeline_examples.html.

  9. 9.

    https://leafletjs.com.

  10. 10.

    https://getbootstrap.com/.

  11. 11.

    http://eventkg.l3s.uni-hannover.de/sparql.html.

  12. 12.

    https://www.mediawiki.org/wiki/API:Main_page.

References

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Acknowledgements

This work was partially funded by the EU Horizon 2020 under MSCA-ITN-2018 “Cleopatra” (812997), and the Federal Ministry of Education and Research, Germany (BMBF) under “Simple-ML” (01IS18054).

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Gottschalk, S., Demidova, E. (2020). EventKG+BT: Generation of Interactive Biography Timelines from a Knowledge Graph. In: Harth, A., et al. The Semantic Web: ESWC 2020 Satellite Events. ESWC 2020. Lecture Notes in Computer Science(), vol 12124. Springer, Cham. https://doi.org/10.1007/978-3-030-62327-2_16

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  • DOI: https://doi.org/10.1007/978-3-030-62327-2_16

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