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Authors: Philip Schmiegelt 1 ; Jingquan Xie 2 ; Gereon Schüller 1 and Andreas Behrend 3

Affiliations: 1 Fraunhofer FKIE, Germany ; 2 Fraunhofer IAIS, Germany ; 3 University of Bonn, Germany

ISBN: 978-989-8565-67-9

Keyword(s): Monitoring, Data Streams, Event Processing, Temporal Databases, Provenance, Knowledge Management, Declarative Programming.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Analytics ; Data Engineering ; Databases and Data Security ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Health Engineering and Technology Applications ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Query Processing and Optimization ; Symbolic Systems

Abstract: Databases are able to store, manage, and retrieve large amounts and a broad variety of data. However, the task of understanding and reacting to the data is often left to tools or user applications outside the database. As a consequence, monitoring applications are often relying on problem-specific imperative code for data analysis, scattering the application logic. This usually leads to island solutions which are hard to maintain, give raise to security and performance problems due to the separation of data storage and analysis. In this paper, we identify missing database functionalities which overcome these problems by allowing data processing on a higher level of abstraction. Such functionalities would allow to employ a database system even for the complex analysis tasks required in evolving monitoring scenarios.

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Paper citation in several formats:
Schmiegelt, P.; Xie, J.; Schüller, G. and Behrend, A. (2013). Database Functionalities for Evolving Monitoring Applications.In Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA, ISBN 978-989-8565-67-9, pages 88-96. DOI: 10.5220/0004491000880096

@conference{data13,
author={Philip Schmiegelt. and Jingquan Xie. and Gereon Schüller. and Andreas Behrend.},
title={Database Functionalities for Evolving Monitoring Applications},
booktitle={Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,},
year={2013},
pages={88-96},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004491000880096},
isbn={978-989-8565-67-9},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,
TI - Database Functionalities for Evolving Monitoring Applications
SN - 978-989-8565-67-9
AU - Schmiegelt, P.
AU - Xie, J.
AU - Schüller, G.
AU - Behrend, A.
PY - 2013
SP - 88
EP - 96
DO - 10.5220/0004491000880096

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