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Semantic Publishing Challenge – Assessing the Quality of Scientific Output by Information Extraction and Interlinking

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Preprint , Other literature type , Conference object 01 Jan 2015Embargo end date: 01 Jan 2015 Belgium, Italy English Publisher:Springer International PublishingFunded by:EC | OpenAIRE2020

Authors: DI IORIO, ANGELO; Lange, Christoph; Dimou, Anastasia; Vahdati, Sahar;

doi: 10.1007/978-3-319-25518-7_6 , 10.48550/arxiv.1508.06206

arXiv: http://arxiv.org/abs/1508.06206

handle: 11585/551236 , 1854/LU-8031118

Semantic Publishing Challenge – Assessing the Quality of Scientific Output by Information Extraction and Interlinking

- Summary
- Subjects
- Related research
  (6)
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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.

To appear in: E. Cabrio and M. Stankovic and M. Dragoni and A. Gangemi and R. Navigli and V. Presutti and D. Garigliotti and A. L. Gentile and A. Nuzzolese and A. Di Iorio and A. Dimou and C. Lange and S. Vahdati and A. Freitas and C. Unger and D. Reforgiato Recupero (eds.). Semantic Web Evaluation Challenges 2015. Communications in Computer and Information Science, Springer, 2015. arXiv admin note: text overlap with arXiv:1408.3863

Countries

Belgium, Italy

Related Organizations

Alma Mater Studiorum University of Bologna
Italy
Ghent University
Belgium
University of Bonn
Germany
University of Bonn
Germany

Keywords

FOS: Computer and information sciences, Technology and Engineering, SemPub Challenge, I.7.4, Computer Science - Digital Libraries, H.3.3, Semantic Publishing, Linked Open Data, Information Extraction, H.3.7, Digital Libraries (cs.DL), H.3.7; I.7.4; H.3.3

6 Research products, page of 1

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	16
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%