Standard
Janus: from workflows to semantic provenance and linked open data. / Missier, Paolo; Sahoo, Satya; Zhao, Jun et al.
Provenance and annotation of data and processes: Third International Provenance and Annotation Workshop, IPAW 2010, Troy, NY, USA, June 15-16, 2010. Revised Selected Papers. ed. / Deborah L. McGuinness; James R. Michaelis; Luc Moreau. Berlin: Springer, 2010. p. 129-141 (Lecture Notes in Computer Science; Vol. 6378).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Missier, P, Sahoo, S, Zhao, J, Goble, C & Sheth, A 2010,
Janus: from workflows to semantic provenance and linked open data. in DL McGuinness, JR Michaelis & L Moreau (eds),
Provenance and annotation of data and processes: Third International Provenance and Annotation Workshop, IPAW 2010, Troy, NY, USA, June 15-16, 2010. Revised Selected Papers. Lecture Notes in Computer Science, vol. 6378, Springer, Berlin, pp. 129-141.
https://doi.org/10.1007/978-3-642-17819-1_16
APA
Missier, P., Sahoo, S., Zhao, J., Goble, C., & Sheth, A. (2010).
Janus: from workflows to semantic provenance and linked open data. In D. L. McGuinness, J. R. Michaelis, & L. Moreau (Eds.),
Provenance and annotation of data and processes: Third International Provenance and Annotation Workshop, IPAW 2010, Troy, NY, USA, June 15-16, 2010. Revised Selected Papers (pp. 129-141). (Lecture Notes in Computer Science; Vol. 6378). Springer.
https://doi.org/10.1007/978-3-642-17819-1_16
Vancouver
Missier P, Sahoo S, Zhao J, Goble C, Sheth A.
Janus: from workflows to semantic provenance and linked open data. In McGuinness DL, Michaelis JR, Moreau L, editors, Provenance and annotation of data and processes: Third International Provenance and Annotation Workshop, IPAW 2010, Troy, NY, USA, June 15-16, 2010. Revised Selected Papers. Berlin: Springer. 2010. p. 129-141. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-17819-1_16
Author
Missier, Paolo ; Sahoo, Satya ; Zhao, Jun et al. /
Janus : from workflows to semantic provenance and linked open data. Provenance and annotation of data and processes: Third International Provenance and Annotation Workshop, IPAW 2010, Troy, NY, USA, June 15-16, 2010. Revised Selected Papers. editor / Deborah L. McGuinness ; James R. Michaelis ; Luc Moreau. Berlin : Springer, 2010. pp. 129-141 (Lecture Notes in Computer Science).
Bibtex
@inproceedings{11a9d677fcaf473f8599aba7e886ae00,
title = "Janus: from workflows to semantic provenance and linked open data",
abstract = "Data provenance graphs are form of metadata that can be used to establish a variety of properties of data products that undergo sequences of transformations, typically specified as workflows. Their usefulness for answering user provenance queries is limited, however, unless the graphs are enhanced with domain-specific annotations. In this paper we propose a model and architecture for semantic, domain-aware provenance, and demonstrate its usefulness in answering typical user queries. Furthermore, we discuss the additional benefits and the technical implications of publishing provenance graphs as a form of Linked Data. A prototype implementation of the model is available for data produced by the Taverna workflow system.",
author = "Paolo Missier and Satya Sahoo and Jun Zhao and Carole Goble and Amit Sheth",
year = "2010",
doi = "10.1007/978-3-642-17819-1_16",
language = "English",
isbn = "9783642178184",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "129--141",
editor = "McGuinness, {Deborah L.} and Michaelis, {James R.} and Luc Moreau",
booktitle = "Provenance and annotation of data and processes",
}
RIS
TY - GEN
T1 - Janus
T2 - from workflows to semantic provenance and linked open data
AU - Missier, Paolo
AU - Sahoo, Satya
AU - Zhao, Jun
AU - Goble, Carole
AU - Sheth, Amit
PY - 2010
Y1 - 2010
N2 - Data provenance graphs are form of metadata that can be used to establish a variety of properties of data products that undergo sequences of transformations, typically specified as workflows. Their usefulness for answering user provenance queries is limited, however, unless the graphs are enhanced with domain-specific annotations. In this paper we propose a model and architecture for semantic, domain-aware provenance, and demonstrate its usefulness in answering typical user queries. Furthermore, we discuss the additional benefits and the technical implications of publishing provenance graphs as a form of Linked Data. A prototype implementation of the model is available for data produced by the Taverna workflow system.
AB - Data provenance graphs are form of metadata that can be used to establish a variety of properties of data products that undergo sequences of transformations, typically specified as workflows. Their usefulness for answering user provenance queries is limited, however, unless the graphs are enhanced with domain-specific annotations. In this paper we propose a model and architecture for semantic, domain-aware provenance, and demonstrate its usefulness in answering typical user queries. Furthermore, we discuss the additional benefits and the technical implications of publishing provenance graphs as a form of Linked Data. A prototype implementation of the model is available for data produced by the Taverna workflow system.
U2 - 10.1007/978-3-642-17819-1_16
DO - 10.1007/978-3-642-17819-1_16
M3 - Conference contribution/Paper
SN - 9783642178184
T3 - Lecture Notes in Computer Science
SP - 129
EP - 141
BT - Provenance and annotation of data and processes
A2 - McGuinness, Deborah L.
A2 - Michaelis, James R.
A2 - Moreau, Luc
PB - Springer
CY - Berlin
ER -