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Semantic publishing challenge : assessing the quality of scientific output by information extraction and interlinking

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Abstract
The Semantic Publishing Challenge series aims at investigating novel approaches for improving scholarly publishing using Linked Data technology. In 2014 we had bootstrapped this effort with a focus on extracting information from non-semantic publications - computer science workshop proceedings volumes and their papers - to assess their quality. The objective of this second edition was to improve information extraction but also to interlink the 2014 dataset with related ones in the LOD Cloud, thus paving the way for sophisticated end-user services.

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Chicago
Di Iorio, Angelo, Christoph Lange, Anastasia Dimou, and Sahar Vahdati. 2015. “Semantic Publishing Challenge : Assessing the Quality of Scientific Output by Information Extraction and Interlinking.” In Semantic Web Evaluation Challenges, ed. F Gandon, E Cabrio, M Stankovic, and A Zimmerman, 548:65–80. Berlin, Germany: Springer.
APA
Di Iorio, A., Lange, C., Dimou, A., & Vahdati, S. (2015). Semantic publishing challenge : assessing the quality of scientific output by information extraction and interlinking. In F. Gandon, E. Cabrio, M. Stankovic, & A. Zimmerman (Eds.), Semantic web evaluation challenges (Vol. 548, pp. 65–80). Presented at the 2nd Conference on Semantic Web Evaluation Challenge (SemWebEval Challenge), Berlin, Germany: Springer.
Vancouver
1.
Di Iorio A, Lange C, Dimou A, Vahdati S. Semantic publishing challenge : assessing the quality of scientific output by information extraction and interlinking. In: Gandon F, Cabrio E, Stankovic M, Zimmerman A, editors. Semantic web evaluation challenges. Berlin, Germany: Springer; 2015. p. 65–80.
MLA
Di Iorio, Angelo, Christoph Lange, Anastasia Dimou, et al. “Semantic Publishing Challenge : Assessing the Quality of Scientific Output by Information Extraction and Interlinking.” Semantic Web Evaluation Challenges. Ed. F Gandon et al. Vol. 548. Berlin, Germany: Springer, 2015. 65–80. Print.
@inproceedings{8031118,
  abstract     = {The Semantic Publishing Challenge series aims at investigating novel approaches for improving scholarly publishing using Linked Data technology. In 2014 we had bootstrapped this effort with a focus on extracting information from non-semantic publications - computer science workshop proceedings volumes and their papers - to assess their quality. The objective of this second edition was to improve information extraction but also to interlink the 2014 dataset with related ones in the LOD Cloud, thus paving the way for sophisticated end-user services.},
  author       = {Di Iorio, Angelo and Lange, Christoph and Dimou, Anastasia and Vahdati, Sahar},
  booktitle    = {Semantic web evaluation challenges},
  editor       = {Gandon, F and Cabrio, E and Stankovic, M and Zimmerman, A},
  isbn         = {9783319255170},
  issn         = {1865-0929},
  language     = {eng},
  location     = {Portoroz, Slovenia},
  pages        = {65--80},
  publisher    = {Springer},
  title        = {Semantic publishing challenge : assessing the quality of scientific output by information extraction and interlinking},
  url          = {http://dx.doi.org/10.1007/978-3-319-25518-7\_6},
  volume       = {548},
  year         = {2015},
}

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