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Ruben Verborgh

Effect of Heuristics on Serendipity in Path-based Storytelling with Linked Data

by Laurens De Vocht, Christian Beecks, Ruben Verborgh, Erik Mannens, Thomas Seidl, and Rik Van de Walle

Path-based storytelling with Linked Data on the Web provides users the ability to discover concepts in an entertaining and educational way. Given a query context, many state-of-the-art pathfinding approaches aim at telling a story that coincides with the user’s expectations by investigating paths over Linked Data on the Web. By taking into account serendipity in storytelling, we aim at improving and tailoring existing approaches towards better fitting user expectations so that users are able to discover interesting knowledge without feeling unsure or even lost in the story facts. To this end, we propose to optimize the link estimation between (and the selection of facts in) a story by increasing the consistency and relevancy of links between facts through additional domain delineation and refinement steps. In order to address multiple aspects of serendipity, we propose and investigate combinations of weights and heuristics in paths forming the essential building blocks for each story. Our experimental findings with stories based on DBpedia indicate the improvements when applying the optimized algorithm.

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Published in 2016 in Proceedings of the 18th International Conference on Human-Computer Interaction.

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Cite this article easily using its BibTeX entry:

@inproceedings{devocht_hcii_2016,
  author = {De Vocht, Laurens and Beecks, Christian and Verborgh, Ruben and Mannens, Erik and Seidl, Thomas and Van de Walle, Rik},
  title = {Effect of Heuristics on Serendipity in Path-based Storytelling with {Linked Data}},
  booktitle = {Proceedings of the 18th International Conference on Human-Computer Interaction},
  year = 2016,
  month = jul,
  series = {Lecture Notes in Computer Science},
  volume = 9734,
  editor = {Yamamoto, Sakae},
  publisher = {Springer},
  pages = {238--251},
  isbn = {978-3-319-40349-6},
  doi = {10.1007/978-3-319-40349-6_23},
  url = {http://link.springer.com/chapter/10.1007%2F978-3-319-40349-6_23},
}

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IEEE
L. De Vocht, C. Beecks, R. Verborgh, E. Mannens, T. Seidl, and R. Van de Walle, “Effect of Heuristics on Serendipity in Path-based Storytelling with Linked Data,” in Proceedings of the 18th International Conference on Human-Computer Interaction, 2016, vol. 9734, pp. 238–251.
ACM
Laurens De Vocht, Christian Beecks, Ruben Verborgh, Erik Mannens, Thomas Seidl, and Rik Van de Walle. 2016. Effect of Heuristics on Serendipity in Path-based Storytelling with Linked Data. In Sakae Yamamoto, ed. Proceedings of the 18th International Conference on Human-Computer Interaction. Lecture Notes in Computer Science. Springer, 238–251.
LNCS
De Vocht, L., Beecks, C., Verborgh, R., Mannens, E., Seidl, T., Van de Walle, R.: Effect of Heuristics on Serendipity in Path-based Storytelling with Linked Data. In: Yamamoto, S. (ed.) Proceedings of the 18th International Conference on Human-Computer Interaction. pp. 238–251. Springer (2016).
APA
De Vocht, L., Beecks, C., Verborgh, R., Mannens, E., Seidl, T., & Van de Walle, R. (2016). Effect of Heuristics on Serendipity in Path-based Storytelling with Linked Data. In S. Yamamoto (Ed.), Proceedings of the 18th International Conference on Human-Computer Interaction (Vol. 9734, pp. 238–251). Springer.
MLA
De Vocht, Laurens et al. “Effect of Heuristics on Serendipity in Path-Based Storytelling with Linked Data.” Proceedings of the 18th International Conference on Human-Computer Interaction. Ed. Sakae Yamamoto. Vol. 9734. Springer, 2016. 238–251. Print. Lecture Notes in Computer Science.

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