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Improving semantic relatedness in paths for storytelling with linked data on the web

Laurens De Vocht (UGent) , Christian Beecks, Ruben Verborgh (UGent) , Thomas Seidl, Erik Mannens (UGent) and Rik Van de Walle (UGent)
(2015) Lecture Notes in Computer Science. In Lecture Notes in Computer Science 9341. p.31-35
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Abstract
Algorithmic storytelling over Linked Data on the Web is a challenging task in which many graph-based pathfinding approaches experience issues with consistency regarding the resulting path that leads to a story. In order to mitigate arbitrariness and increase consistency, we propose to improve the semantic relatedness of concepts mentioned in a story by increasing the relevance of links between nodes through additional domain delineation and refinement steps. On top of this, we propose the implementation of an optimized algorithm controlling the pathfinding process to obtain more homogeneous search domain and retrieve more links between adjacent hops in each path. Preliminary results indicate the potential of the proposal.

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MLA
De Vocht, Laurens, et al. “Improving Semantic Relatedness in Paths for Storytelling with Linked Data on the Web.” Lecture Notes in Computer Science, vol. 9341, 2015, pp. 31–35, doi:10.1007/978-3-319-25639-9_6.
APA
De Vocht, L., Beecks, C., Verborgh, R., Seidl, T., Mannens, E., & Van de Walle, R. (2015). Improving semantic relatedness in paths for storytelling with linked data on the web. Lecture Notes in Computer Science, 9341, 31–35. https://doi.org/10.1007/978-3-319-25639-9_6
Chicago author-date
De Vocht, Laurens, Christian Beecks, Ruben Verborgh, Thomas Seidl, Erik Mannens, and Rik Van de Walle. 2015. “Improving Semantic Relatedness in Paths for Storytelling with Linked Data on the Web.” In Lecture Notes in Computer Science, 9341:31–35. https://doi.org/10.1007/978-3-319-25639-9_6.
Chicago author-date (all authors)
De Vocht, Laurens, Christian Beecks, Ruben Verborgh, Thomas Seidl, Erik Mannens, and Rik Van de Walle. 2015. “Improving Semantic Relatedness in Paths for Storytelling with Linked Data on the Web.” In Lecture Notes in Computer Science, 9341:31–35. doi:10.1007/978-3-319-25639-9_6.
Vancouver
1.
De Vocht L, Beecks C, Verborgh R, Seidl T, Mannens E, Van de Walle R. Improving semantic relatedness in paths for storytelling with linked data on the web. In: Lecture Notes in Computer Science. 2015. p. 31–5.
IEEE
[1]
L. De Vocht, C. Beecks, R. Verborgh, T. Seidl, E. Mannens, and R. Van de Walle, “Improving semantic relatedness in paths for storytelling with linked data on the web,” in Lecture Notes in Computer Science, Portoroz, SLOVENIA, 2015, vol. 9341, pp. 31–35.
@inproceedings{8027685,
  abstract     = {{Algorithmic storytelling over Linked Data on the Web is a challenging task in which many graph-based pathfinding approaches experience issues with consistency regarding the resulting path that leads to a story. In order to mitigate arbitrariness and increase consistency, we propose to improve the semantic relatedness of concepts mentioned in a story by increasing the relevance of links between nodes through additional domain delineation and refinement steps. On top of this, we propose the implementation of an optimized algorithm controlling the pathfinding process to obtain more homogeneous search domain and retrieve more links between adjacent hops in each path. Preliminary results indicate the potential of the proposal.}},
  author       = {{De Vocht, Laurens and Beecks, Christian and Verborgh, Ruben and Seidl, Thomas and Mannens, Erik and Van de Walle, Rik}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{978-3-319-25638-2}},
  issn         = {{0302-9743}},
  language     = {{eng}},
  location     = {{Portoroz, SLOVENIA}},
  pages        = {{31--35}},
  title        = {{Improving semantic relatedness in paths for storytelling with linked data on the web}},
  url          = {{http://doi.org/10.1007/978-3-319-25639-9_6}},
  volume       = {{9341}},
  year         = {{2015}},
}
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