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Authors: Anja Bachmann 1 ; Martin Alexander Neumann 1 ; Hossein Miri 1 ; José Barateiro 2 ; Gonçalo Antunes 3 and Artur Caetano 3

Affiliations: 1 Karlsruhe Institute of Technology (KIT) and TECO, Germany ; 2 Laboratório Nacional De Engenharia Civil (LNEC), Portugal ; 3 Instituto de Engenharia de Sistemas e Computadores - Investigação e Desenvolvimento (INESC-ID), Portugal

ISBN: 978-989-8565-75-4

ISSN: 2184-3228

Keyword(s): Digital Preservation, Sensor Networks, Civil Engineering.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Digital Libraries ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Symbolic Systems ; Tools and Technology for Knowledge Management ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: There is a growing demand for digital preservation of, not only static objects and files, e.g. text documents and images, but also dynamic objects and whole processes, such as interactive media and entire business and scientific processes. This paper investigates the problem of digitally preserving monitoring processes of a dam safety information system. Monitoring processes are a crucial element in ensuring structural safety; the interpretation of the past data produced by such processes as well as the prediction of potential future behaviour facilitates an earlier detection of possible dam failure. After a successful preservation performance, relevant data can be used or re-produced without the need for the original system to still exist; merely by re-playing the preserved information and data. This enables several possibilities in the scope of a water dam system. The retracing of former situations and structural behaviour decades later is one of them. Furthermore, the interpretatio n of past data and subsequent prediction of future behaviour that could facilitate an earlier detection of a fault or possible dam failure. This work presents a methodology for preserving the obtained sensor data (readings, measurements, and meta-data) from a dam safety information system, whose involved processes include: data acquisition, the preservation process itself, and the re-playing and redeployment of the preserved data. (More)

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Paper citation in several formats:
Bachmann, A.; Neumann, M.; Miri, H.; Barateiro, J.; Antunes, G. and Caetano, A. (2013). Preservation and Redeployment of Sensor Acquisition Processes from a Dam Safety Information System.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2013) ISBN 978-989-8565-75-4, ISSN 2184-3228, pages 490-495. DOI: 10.5220/0004625404900495

@conference{kmis13,
author={Anja Bachmann. and Martin Alexander Neumann. and Hossein Miri. and José Barateiro. and Gon\c{C}alo Antunes. and Artur Caetano.},
title={Preservation and Redeployment of Sensor Acquisition Processes from a Dam Safety Information System},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2013)},
year={2013},
pages={490-495},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004625404900495},
isbn={978-989-8565-75-4},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2013)
TI - Preservation and Redeployment of Sensor Acquisition Processes from a Dam Safety Information System
SN - 978-989-8565-75-4
AU - Bachmann, A.
AU - Neumann, M.
AU - Miri, H.
AU - Barateiro, J.
AU - Antunes, G.
AU - Caetano, A.
PY - 2013
SP - 490
EP - 495
DO - 10.5220/0004625404900495

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