Trusted facts: Triplifying primary research data enriched with provenance information

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

doi:10.1007/978-3-642-41242-4_37

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 proceeding › Chapter › Academic › peer-review

1 Citation (Scopus)

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. © Springer-Verlag 2013.

Original language	English
Title of host publication	The Semantic Web: ESWC 2013 Satellite Events
Subtitle of host publication	ESWC 2013 Satellite Events, Montpellier, France, May 26-30, 2013, Revised Selected Papers
Editors	Philipp Cimiano, Miriam Fernández, Vanessa Lopez, Stefan Schlobach, Johanna Völker
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	268-270
Number of pages	3
ISBN (Electronic)	978-3-642-41242-4
ISBN (Print)	978-3-642-41241-7
DOIs	https://doi.org/10.1007/978-3-642-41242-4_37
Publication status	Published - 2013
Externally published	Yes
Event	10th Extended Semantic Web Conference, ESWC 2013 - Montpellier, France Duration: 26 May 2013 → 30 May 2013 Conference number: 10

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	7955
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th Extended Semantic Web Conference, ESWC 2013
Abbreviated title	ESWC
Country/Territory	France
City	Montpellier
Period	26/05/13 → 30/05/13

Keywords

Data Cube
Code Project
Provenance Information
Semantic Enrichment
Existent Concept

Access to Document

10.1007/978-3-642-41242-4_37

http://www.mendeley.com/research/trusted-facts-triplifying-primary-research-data-enriched-provenance-information

Cite this

Schlegel, K., Bayerl, S., Zwicklbauer, S., Stegmaier, F., Seifert, C., Granitzer, M., & Kosch, H. (2013). Trusted facts: Triplifying primary research data enriched with provenance information. In P. Cimiano, M. Fernández, V. Lopez, S. Schlobach, & J. Völker (Eds.), The Semantic Web: ESWC 2013 Satellite Events: ESWC 2013 Satellite Events, Montpellier, France, May 26-30, 2013, Revised Selected Papers (pp. 268-270). (Lecture Notes in Computer Science; Vol. 7955). Springer. https://doi.org/10.1007/978-3-642-41242-4_37

Schlegel, Kai ; Bayerl, Sebastian ; Zwicklbauer, Stefan et al. / Trusted facts : Triplifying primary research data enriched with provenance information. The Semantic Web: ESWC 2013 Satellite Events: ESWC 2013 Satellite Events, Montpellier, France, May 26-30, 2013, Revised Selected Papers. editor / Philipp Cimiano ; Miriam Fernández ; Vanessa Lopez ; Stefan Schlobach ; Johanna Völker. Berlin, Heidelberg : Springer, 2013. pp. 268-270 (Lecture Notes in Computer Science).

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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. {\textcopyright} Springer-Verlag 2013.",

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author = "Kai Schlegel and Sebastian Bayerl and Stefan Zwicklbauer and Florian Stegmaier and Christin Seifert and Michael Granitzer and Harald Kosch",

year = "2013",

doi = "10.1007/978-3-642-41242-4_37",

language = "English",

isbn = "978-3-642-41241-7",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "268--270",

editor = "Philipp Cimiano and Miriam Fern{\'a}ndez and Vanessa Lopez and Stefan Schlobach and Johanna V{\"o}lker",

booktitle = "The Semantic Web: ESWC 2013 Satellite Events",

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note = "10th Extended Semantic Web Conference, ESWC 2013, ESWC ; Conference date: 26-05-2013 Through 30-05-2013",

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Schlegel, K, Bayerl, S, Zwicklbauer, S, Stegmaier, F, Seifert, C, Granitzer, M & Kosch, H 2013, Trusted facts: Triplifying primary research data enriched with provenance information. in P Cimiano, M Fernández, V Lopez, S Schlobach & J Völker (eds), The Semantic Web: ESWC 2013 Satellite Events: ESWC 2013 Satellite Events, Montpellier, France, May 26-30, 2013, Revised Selected Papers. Lecture Notes in Computer Science, vol. 7955, Springer, Berlin, Heidelberg, pp. 268-270, 10th Extended Semantic Web Conference, ESWC 2013, Montpellier, France, 26/05/13. https://doi.org/10.1007/978-3-642-41242-4_37

Trusted facts : Triplifying primary research data enriched with provenance information. / Schlegel, Kai; Bayerl, Sebastian; Zwicklbauer, Stefan et al.

The Semantic Web: ESWC 2013 Satellite Events: ESWC 2013 Satellite Events, Montpellier, France, May 26-30, 2013, Revised Selected Papers. ed. / Philipp Cimiano; Miriam Fernández; Vanessa Lopez; Stefan Schlobach; Johanna Völker. Berlin, Heidelberg : Springer, 2013. p. 268-270 (Lecture Notes in Computer Science; Vol. 7955).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Trusted facts

T2 - 10th Extended Semantic Web Conference, ESWC 2013

AU - Schlegel, Kai

AU - Bayerl, Sebastian

AU - Zwicklbauer, Stefan

AU - Stegmaier, Florian

AU - Seifert, Christin

AU - Granitzer, Michael

AU - Kosch, Harald

N1 - Conference code: 10

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Data Cube

KW - Code Project

KW - Provenance Information

KW - Semantic Enrichment

KW - Existent Concept

U2 - 10.1007/978-3-642-41242-4_37

DO - 10.1007/978-3-642-41242-4_37

M3 - Chapter

SN - 978-3-642-41241-7

T3 - Lecture Notes in Computer Science

SP - 268

EP - 270

BT - The Semantic Web: ESWC 2013 Satellite Events

A2 - Cimiano, Philipp

A2 - Fernández, Miriam

A2 - Lopez, Vanessa

A2 - Schlobach, Stefan

A2 - Völker, Johanna

PB - Springer

CY - Berlin, Heidelberg

Y2 - 26 May 2013 through 30 May 2013

ER -

Schlegel K, Bayerl S, Zwicklbauer S, Stegmaier F, Seifert C, Granitzer M et al. Trusted facts: Triplifying primary research data enriched with provenance information. In Cimiano P, Fernández M, Lopez V, Schlobach S, Völker J, editors, The Semantic Web: ESWC 2013 Satellite Events: ESWC 2013 Satellite Events, Montpellier, France, May 26-30, 2013, Revised Selected Papers. Berlin, Heidelberg: Springer. 2013. p. 268-270. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-41242-4_37

Trusted facts: Triplifying primary research data enriched with provenance information

Abstract

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Keywords

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