Semantic publishing challenge : assessing the quality of scientific output by information extraction and interlinking
- Author
- Angelo Di Iorio, Christoph Lange, Anastasia Dimou (UGent) and Sahar Vahdati
- Organization
- 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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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8031118
- MLA
- Di Iorio, Angelo, et al. “Semantic Publishing Challenge : Assessing the Quality of Scientific Output by Information Extraction and Interlinking.” Semantic Web Evaluation Challenges, edited by F Gandon et al., vol. 548, Springer, 2015, pp. 65–80, doi:10.1007/978-3-319-25518-7_6.
- 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). https://doi.org/10.1007/978-3-319-25518-7_6
- Chicago author-date
- 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, edited by F Gandon, E Cabrio, M Stankovic, and A Zimmerman, 548:65–80. Berlin, Germany: Springer. https://doi.org/10.1007/978-3-319-25518-7_6.
- Chicago author-date (all authors)
- 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 by. F Gandon, E Cabrio, M Stankovic, and A Zimmerman, 548:65–80. Berlin, Germany: Springer. doi:10.1007/978-3-319-25518-7_6.
- 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.
- IEEE
- [1]A. Di Iorio, C. Lange, A. Dimou, and S. Vahdati, “Semantic publishing challenge : assessing the quality of scientific output by information extraction and interlinking,” in Semantic web evaluation challenges, Portoroz, Slovenia, 2015, vol. 548, pp. 65–80.
@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://doi.org/10.1007/978-3-319-25518-7_6}},
volume = {{548}},
year = {{2015}},
}
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