Composable Data Processing in Environmental Science - A Process View

Andreas Wombacher

doi:10.1109/SCC.2008.142

Composable Data Processing in Environmental Science - A Process View

Andreas Wombacher

Databases (Former)

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

1 Citation (Scopus)

189 Downloads (Pure)

Abstract

Data processing in environmental science is essential for doing science. The heterogeneity of data sources, data processing operations and infrastructures results in a lot of manual data and process integration work done by each scientist individually. This is very inefficient and time consuming. The aim is to provide a view based approach on accessing and processing data supporting a more generic infrastructure to integrate processing steps from different organizations, systems and libraries. We propose an approach modeled in Colored Place/Transition Nets which has been implemented in a Web Service infrastructure.

Original language	Undefined
Title of host publication	Proceedings of IEEE International Conference on Services Computing (SCC2008)
Place of Publication	Los Alamitos
Publisher	IEEE
Pages	499-502
Number of pages	4
ISBN (Print)	978-0-7695-3283-7
DOIs	https://doi.org/10.1109/SCC.2008.142
Publication status	Published - Jul 2008
Event	IEEE 5th International Conference on Services Computing, SCC 2008 - Honolulu, United States Duration: 8 Jul 2008 → 11 Jul 2008 Conference number: 5

Publication series

Name
Publisher	IEEE Computer Society Press
Number	Supplement
Volume	2

Conference

Conference	IEEE 5th International Conference on Services Computing, SCC 2008
Abbreviated title	SCC
Country/Territory	United States
City	Honolulu
Period	8/07/08 → 11/07/08

Keywords

EWI-13503
IR-64999
METIS-251198
DB-DMSN: Data Management for Sensor Networks

Access to Document

10.1109/SCC.2008.142

Cite this

@inproceedings{6531f6f8ef5646de8cae0486a6da42a4,

title = "Composable Data Processing in Environmental Science - A Process View",

abstract = "Data processing in environmental science is essential for doing science. The heterogeneity of data sources, data processing operations and infrastructures results in a lot of manual data and process integration work done by each scientist individually. This is very inefficient and time consuming. The aim is to provide a view based approach on accessing and processing data supporting a more generic infrastructure to integrate processing steps from different organizations, systems and libraries. We propose an approach modeled in Colored Place/Transition Nets which has been implemented in a Web Service infrastructure.",

keywords = "EWI-13503, IR-64999, METIS-251198, DB-DMSN: Data Management for Sensor Networks",

author = "Andreas Wombacher",

note = "10.1109/SCC.2008.142 ; IEEE 5th International Conference on Services Computing, SCC 2008 ; Conference date: 08-07-2008 Through 11-07-2008",

year = "2008",

month = jul,

doi = "10.1109/SCC.2008.142",

language = "Undefined",

isbn = "978-0-7695-3283-7",

publisher = "IEEE",

number = "Supplement",

pages = "499--502",

booktitle = "Proceedings of IEEE International Conference on Services Computing (SCC2008)",

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Wombacher, A 2008, Composable Data Processing in Environmental Science - A Process View. in Proceedings of IEEE International Conference on Services Computing (SCC2008)., 10.1109/SCC.2008.142, IEEE, Los Alamitos, pp. 499-502, IEEE 5th International Conference on Services Computing, SCC 2008, Honolulu, Hawaii, United States, 8/07/08. https://doi.org/10.1109/SCC.2008.142

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AB - Data processing in environmental science is essential for doing science. The heterogeneity of data sources, data processing operations and infrastructures results in a lot of manual data and process integration work done by each scientist individually. This is very inefficient and time consuming. The aim is to provide a view based approach on accessing and processing data supporting a more generic infrastructure to integrate processing steps from different organizations, systems and libraries. We propose an approach modeled in Colored Place/Transition Nets which has been implemented in a Web Service infrastructure.

KW - EWI-13503

KW - IR-64999

KW - METIS-251198

KW - DB-DMSN: Data Management for Sensor Networks

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DO - 10.1109/SCC.2008.142

M3 - Conference contribution

SN - 978-0-7695-3283-7

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BT - Proceedings of IEEE International Conference on Services Computing (SCC2008)

PB - IEEE

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