Trusted Facts: Triplifying Primary Research Data Enriched with Provenance Information View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2013

AUTHORS

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

ABSTRACT

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. More... »

PAGES

268-270

Book

TITLE

Advanced Information Systems Engineering

ISBN

978-3-642-41241-7
978-3-642-41242-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-41242-4_37

DOI

http://dx.doi.org/10.1007/978-3-642-41242-4_37

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012170049


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