Trusted facts: Triplifying primary research data enriched with provenance information

Kai Schlegel, Sebastian Bayerl, Stefan Zwicklbauer, Florian Stegmaier, Christin Seifert, Michael Granitzer, Harald Kosch

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

1 Citation (Scopus)


A crucial task in a researchers' daily work is the analysis of primary research data to estimate the evolution of certain fields or technologies, e.g. tables in publications or tabular benchmark results. Due to a lack of comparability and reliability of published primary research data, this becomes more and more time-consuming leading to contradicting facts, as has been shown for ad-hoc retrieval [1]. The CODE project [2] aims at contributing to a Linked Science Data Cloud by integrating unstructured research information with semantically represented research data. Through crowdsourcing techniques, data centric tasks like data extraction, integration and analysis in combination with sustainable data marketplace concepts will establish a sustainable, high-impact ecosystem. © Springer-Verlag 2013.
Original languageEnglish
Title of host publicationThe Semantic Web: ESWC 2013 Satellite Events
Subtitle of host publicationESWC 2013 Satellite Events, Montpellier, France, May 26-30, 2013, Revised Selected Papers
EditorsPhilipp Cimiano, Miriam Fernández, Vanessa Lopez, Stefan Schlobach, Johanna Völker
Place of PublicationBerlin, Heidelberg
Number of pages3
ISBN (Electronic)978-3-642-41242-4
ISBN (Print)978-3-642-41241-7
Publication statusPublished - 2013
Externally publishedYes
Event10th Extended Semantic Web Conference, ESWC 2013 - Montpellier, France
Duration: 26 May 201330 May 2013
Conference number: 10

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference10th Extended Semantic Web Conference, ESWC 2013
Abbreviated titleESWC


  • Data Cube
  • Code Project
  • Provenance Information
  • Semantic Enrichment
  • Existent Concept


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