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cs-105 author me.
cs-105 author sahar_vahdati.
cs-105 author erik_mannens.
cs-105 author christoph_lange.
cs-105 author angelo_di_iorio.
cs-105 author me.
cs-105 creator me.
cs-105 creator sahar_vahdati.
cs-105 creator erik_mannens.
cs-105 creator christoph_lange.
cs-105 creator angelo_di_iorio.
cs-105 creator me.
cs-105 about publication.
cs-105 about rules.
cs-105 about Linked_Data.
cs-105 about Semantic_Web.
cs-105 about World_Wide_Web.
cs-105 author me.
cs-105 author sahar_vahdati.
cs-105 author erik_mannens.
cs-105 author christoph_lange.
cs-105 author angelo_di_iorio.
cs-105 author me.
cs-105 coparticipatesWith me.
cs-105 coparticipatesWith sahar_vahdati.
cs-105 coparticipatesWith erik_mannens.
cs-105 coparticipatesWith christoph_lange.
cs-105 coparticipatesWith angelo_di_iorio.
cs-105 coparticipatesWith me.
cs-105 type PublicationVolume.
cs-105 type ScholarlyArticle.
cs-105 type Article.
cs-105 type Document.
cs-105 type Document.
cs-105 type Document.
cs-105 type Q386724.
cs-105 type CreativeWork.
cs-105 type Work.
cs-105 P50 me.
cs-105 P50 sahar_vahdati.
cs-105 P50 erik_mannens.
cs-105 P50 christoph_lange.
cs-105 P50 angelo_di_iorio.
cs-105 P50 me.
cs-105 maker me.
cs-105 maker sahar_vahdati.
cs-105 maker erik_mannens.
cs-105 maker christoph_lange.
cs-105 maker angelo_di_iorio.
cs-105 maker me.
cs-105 title "Challenges as Enablers for High Quality Linked Data: Insights from the Semantic Publishing Challenge".
cs-105 isPartOf peerj_computer_science.
cs-105 name "Challenges as Enablers for High Quality Linked Data: Insights from the Semantic Publishing Challenge".
cs-105 label "Challenges as Enablers for High Quality Linked Data: Insights from the Semantic Publishing Challenge".
cs-105 name "Challenges as Enablers for High Quality Linked Data: Insights from the Semantic Publishing Challenge".
cs-105 topic publication.
cs-105 topic rules.
cs-105 topic Linked_Data.
cs-105 topic Semantic_Web.
cs-105 topic World_Wide_Web.
cs-105 subject publication.
cs-105 subject rules.
cs-105 subject Linked_Data.
cs-105 subject Semantic_Web.
cs-105 subject World_Wide_Web.
cs-105 authorList b0_b2365.
cs-105 topic publication.
cs-105 topic rules.
cs-105 topic Linked_Data.
cs-105 topic Semantic_Web.
cs-105 topic World_Wide_Web.
cs-105 abstract "While most challenges organized so far in the Semantic Web domain are focused on comparing tools with respect to different criteria such as their features and competencies, or exploiting semantically enriched data, the Semantic Web Evaluation Challenges series, co-located with the ESWC Semantic Web Conference, aims to compare them based on their output, namely the produced dataset. The Semantic Publishing Challenge is one of these challenges. Its goal is to involve participants in extracting data from heterogeneous sources on scholarly publications, and producing Linked Data that can be exploited by the community itself. This paper reviews lessons learned from both (i) the overall organization of the Semantic Publishing Challenge, regarding the definition of the tasks, building the input dataset and forming the evaluation, and (ii) the results produced by the participants, regarding the proposed approaches, the used tools, the preferred vocabularies and the results produced in the three editions of 2014, 2015 and 2016. We compared these lessons to other Semantic Web Evaluation challenges. In this paper, we (i) distill best practices for organizing such challenges that could be applied to similar events, and (ii) report observations on Linked Data publishing derived from the submitted solutions. We conclude that higher quality may be achieved when Linked Data is produced as a result of a challenge, because the competition becomes an incentive, while solutions become better with respect to Linked Data publishing best practices when they are evaluated against the rules of the challenge.".
cs-105 datePublished "2017".
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cs-105 number "105".
cs-105 number "3".
cs-105 volume "3".
cs-105 locator "105".
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