Unleashing Semantics of Research Data

Florian Stegmaier; Christin Seifert; Roman Kern; Patrick Hoefler; Sebastian Bayerl; Michael Granitzer; Harald Kosch; Stefanie Lindstaedt; Belgin Mutlu; Vedran Sabol; Kai Schlegel; Stefan Zwicklbauer

doi:10.1007/978-3-642-53974-9_10

Unleashing Semantics of Research Data

Florian Stegmaier, Christin Seifert, Roman Kern, Patrick Hoefler, Sebastian Bayerl, Michael Granitzer, Harald Kosch, Stefanie Lindstaedt, Belgin Mutlu, Vedran Sabol, Kai Schlegel, Stefan Zwicklbauer

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

3 Citations (Scopus)

1 Downloads (Pure)

Abstract

Research depends to a large degree on the availability and quality of primary research data, i.e., data generated through experiments and evaluations. While the Web in general and Linked Data in particular provide a platform and the necessary technologies for sharing, managing and utilizing research data, an ecosystem supporting those tasks is still missing. The vision of the CODE project is the establishment of a sophisticated ecosystem for Linked Data. Here, the extraction of knowledge encapsulated in scientific research paper along with its public release as Linked Data serves as the major use case. Further, Visual Analytics approaches empower end users to analyse, integrate and organize data. During these tasks, specific Big Data issues are present.

Original language	English
Title of host publication	Specifying Big Data Benchmarks
Subtitle of host publication	First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers
Editors	Tilmann Rabl, Meikel Poess, Chaitanya Baru, Hans-Arno Jacobsen
Publisher	Springer
Pages	103-112
Number of pages	10
ISBN (Print)	978-3-642-53973-2
DOIs	https://doi.org/10.1007/978-3-642-53974-9_10
Publication status	Published - 2014
Event	First Workshop on Big Data Benchmarks 2012 - San Jose, United States Duration: 8 May 2012 → 9 May 2012 Conference number: 1

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Berlin Heidelberg
Volume	8163

Conference

Conference	First Workshop on Big Data Benchmarks 2012
Abbreviated title	WBDB 2012
Country	United States
City	San Jose
Period	8/05/12 → 9/05/12

Keywords

Linked Data
Natural Language Processing
Data Warehousing
Big Data

Access to Document

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Stegmaier, F., Seifert, C., Kern, R., Hoefler, P., Bayerl, S., Granitzer, M., ... Zwicklbauer, S. (2014). Unleashing Semantics of Research Data. In T. Rabl, M. Poess, C. Baru, & H-A. Jacobsen (Eds.), Specifying Big Data Benchmarks: First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers (pp. 103-112). (Lecture Notes in Computer Science; Vol. 8163). Springer. https://doi.org/10.1007/978-3-642-53974-9_10

Stegmaier, Florian ; Seifert, Christin ; Kern, Roman ; Hoefler, Patrick ; Bayerl, Sebastian ; Granitzer, Michael ; Kosch, Harald ; Lindstaedt, Stefanie ; Mutlu, Belgin ; Sabol, Vedran ; Schlegel, Kai ; Zwicklbauer, Stefan. / Unleashing Semantics of Research Data. Specifying Big Data Benchmarks: First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers. editor / Tilmann Rabl ; Meikel Poess ; Chaitanya Baru ; Hans-Arno Jacobsen. Springer, 2014. pp. 103-112 (Lecture Notes in Computer Science).

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abstract = "Research depends to a large degree on the availability and quality of primary research data, i.e., data generated through experiments and evaluations. While the Web in general and Linked Data in particular provide a platform and the necessary technologies for sharing, managing and utilizing research data, an ecosystem supporting those tasks is still missing. The vision of the CODE project is the establishment of a sophisticated ecosystem for Linked Data. Here, the extraction of knowledge encapsulated in scientific research paper along with its public release as Linked Data serves as the major use case. Further, Visual Analytics approaches empower end users to analyse, integrate and organize data. During these tasks, specific Big Data issues are present.",

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Stegmaier, F, Seifert, C, Kern, R, Hoefler, P, Bayerl, S, Granitzer, M, Kosch, H, Lindstaedt, S, Mutlu, B, Sabol, V, Schlegel, K & Zwicklbauer, S 2014, Unleashing Semantics of Research Data. in T Rabl, M Poess, C Baru & H-A Jacobsen (eds), Specifying Big Data Benchmarks: First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers. Lecture Notes in Computer Science, vol. 8163, Springer, pp. 103-112, First Workshop on Big Data Benchmarks 2012, San Jose, United States, 8/05/12. https://doi.org/10.1007/978-3-642-53974-9_10

Unleashing Semantics of Research Data. / Stegmaier, Florian; Seifert, Christin; Kern, Roman; Hoefler, Patrick; Bayerl, Sebastian; Granitzer, Michael; Kosch, Harald; Lindstaedt, Stefanie; Mutlu, Belgin; Sabol, Vedran; Schlegel, Kai; Zwicklbauer, Stefan.

Specifying Big Data Benchmarks: First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers. ed. / Tilmann Rabl; Meikel Poess; Chaitanya Baru; Hans-Arno Jacobsen. Springer, 2014. p. 103-112 (Lecture Notes in Computer Science; Vol. 8163).

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

TY - GEN

T1 - Unleashing Semantics of Research Data

AU - Stegmaier, Florian

AU - Seifert, Christin

AU - Kern, Roman

AU - Hoefler, Patrick

AU - Bayerl, Sebastian

AU - Granitzer, Michael

AU - Kosch, Harald

AU - Lindstaedt, Stefanie

AU - Mutlu, Belgin

AU - Sabol, Vedran

AU - Schlegel, Kai

AU - Zwicklbauer, Stefan

PY - 2014

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N2 - Research depends to a large degree on the availability and quality of primary research data, i.e., data generated through experiments and evaluations. While the Web in general and Linked Data in particular provide a platform and the necessary technologies for sharing, managing and utilizing research data, an ecosystem supporting those tasks is still missing. The vision of the CODE project is the establishment of a sophisticated ecosystem for Linked Data. Here, the extraction of knowledge encapsulated in scientific research paper along with its public release as Linked Data serves as the major use case. Further, Visual Analytics approaches empower end users to analyse, integrate and organize data. During these tasks, specific Big Data issues are present.

AB - Research depends to a large degree on the availability and quality of primary research data, i.e., data generated through experiments and evaluations. While the Web in general and Linked Data in particular provide a platform and the necessary technologies for sharing, managing and utilizing research data, an ecosystem supporting those tasks is still missing. The vision of the CODE project is the establishment of a sophisticated ecosystem for Linked Data. Here, the extraction of knowledge encapsulated in scientific research paper along with its public release as Linked Data serves as the major use case. Further, Visual Analytics approaches empower end users to analyse, integrate and organize data. During these tasks, specific Big Data issues are present.

KW - Linked Data

KW - Natural Language Processing

KW - Data Warehousing

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EP - 112

BT - Specifying Big Data Benchmarks

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A2 - Poess, Meikel

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Stegmaier F, Seifert C, Kern R, Hoefler P, Bayerl S, Granitzer M et al. Unleashing Semantics of Research Data. In Rabl T, Poess M, Baru C, Jacobsen H-A, editors, Specifying Big Data Benchmarks: First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers. Springer. 2014. p. 103-112. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-53974-9_10