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Effect of heuristics on serendipity in path-based storytelling with linked data

Laurens De Vocht, Christian Beecks, Ruben Verborgh UGent, Erik Mannens UGent, Thomas Seidl and Rik Van de Walle UGent (2016) Human Interface and the Management of Information: Information, Design and Interaction, Pt I . In Lecture Notes in Computer Science 9734. p.238-251
abstract
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.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
Storytelling, Serendipity, Pathfinding, A*, Linked data, Heuristics
in
Human Interface and the Management of Information: Information, Design and Interaction, Pt I
series title
Lecture Notes in Computer Science
volume
9734
pages
14 pages
publisher
Springer Nature
conference name
18th International Conference on Human-Computer Interaction (HCI International)
conference location
Toronto, CANADA
conference start
2016-07-17
conference end
2016-07-22
Web of Science type
Proceedings Paper
Web of Science id
000389464900023
ISSN
0302-9743
1611-3349
ISBN
978-3-319-40348-9
978-3-319-40349-6
DOI
10.1007/978-3-319-40349-6_23
language
English
UGent publication?
yes
classification
P1
copyright statement
Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
id
8503538
handle
http://hdl.handle.net/1854/LU-8503538
date created
2017-01-23 15:30:40
date last changed
2017-05-29 09:20:52
@inproceedings{8503538,
  abstract     = {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.},
  author       = {De Vocht, Laurens and Beecks, Christian and Verborgh, Ruben and Mannens, Erik and Seidl, Thomas and Van de Walle, Rik},
  booktitle    = {Human Interface and the Management of Information: Information, Design and Interaction, Pt I },
  isbn         = {978-3-319-40348-9},
  issn         = {0302-9743},
  keyword      = {Storytelling,Serendipity,Pathfinding,A*,Linked data,Heuristics},
  language     = {eng},
  location     = {Toronto, CANADA},
  pages        = {238--251},
  publisher    = {Springer Nature},
  title        = {Effect of heuristics on serendipity in path-based storytelling with linked data},
  url          = {http://dx.doi.org/10.1007/978-3-319-40349-6\_23},
  volume       = {9734},
  year         = {2016},
}

Chicago
De Vocht, Laurens, 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 Human Interface and the Management of Information: Information, Design and Interaction, Pt I , 9734:238–251. Springer Nature.
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. Human Interface and the Management of Information: Information, Design and Interaction, Pt I (Vol. 9734, pp. 238–251). Presented at the 18th International Conference on Human-Computer Interaction (HCI International) , Springer Nature.
Vancouver
1.
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. Human Interface and the Management of Information: Information, Design and Interaction, Pt I . Springer Nature; 2016. p. 238–51.
MLA
De Vocht, Laurens, Christian Beecks, Ruben Verborgh, et al. “Effect of Heuristics on Serendipity in Path-based Storytelling with Linked Data.” Human Interface and the Management of Information: Information, Design and Interaction, Pt I . Vol. 9734. Springer Nature, 2016. 238–251. Print.