Chapter 7: Architectures and Implementations of Spatio-temporal Database Management Systems

Breunig, Martin; Türker, Can; Böhlen, Michael H.; Dieker, Stefan; Güting, Ralf Hartmut; Jensen, Christian S.; Relly, Lukas; Rigaux, Philippe; Schek, Hans-Jörg; Scholl, Micheł

doi:10.1007/978-3-540-45081-8_7

Cited by 15 publications

(9 citation statements)

References 35 publications

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“…DOMINO focuses on present and future trajectory data. CONCERT, Secondo and DEDALE are representatives of extensible systems [3] that offer support for application-specific modules. CONCERT [24] provides flexible index support and its abstract object storage types allow to implement spatio-temporal data types.…”

Section: Related Workmentioning

confidence: 99%

A web-enabled extension of a spatio-temporal DBMS

Innerebner

Böhlen

Timko

2007

Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems

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Many database applications deal with spatio-temporal phenomena, and during the last decade a lot of research targeted locationbased services, moving objects, traffic jam preventions, meteorology, etc. In strong contrast, there exist only very few proposals for an implementation of a spatio-temporal database system let alone a web-based spatio-temporal information system. This paper describes the design and implementation of a webbased spatio-temporal information system. The system uses Secondo as spatio-temporal DBMS for handling moving objects and MapServer as an OGC-compliant rendering engine for static spatial data. We describe the architecture of the system and compare our system with a standalone application. The paper investigates in detail issues that arise in the context of the web. First, we describe an implementation of a lightweight client that takes advantage of the functionality offered by Secondo and MapServer. Second, we describe how moving objects can be represented in GML. We discuss possible GML representations, propose an extension of GML that uses 3D segments (2D location + time) to represent moving objects, and present experiments that compare the solutions.

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Section: Related Workmentioning

confidence: 99%

A web-enabled extension of a spatio-temporal DBMS

Innerebner

Böhlen

Timko

2007

Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems

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“…Such a backup is done incrementally, is query-able, and can always be online. Moving objects [7]. Keeping historical data supports tracing the trajectory of moving objects in location-aware service applications.…”

Section: Temporal Databasesmentioning

confidence: 99%

Transaction Time Support Inside a Database Engine

Lomet

Barga

Mokbel

et al. 2006

22nd International Conference on Data Engineering (ICDE'06)

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“…by the group of Peter van Oosterom (van Oosterom and Schenkelaars, 1995), Christine Parent, Stefano Spaccapietra, and Esteban Zimányi (Parent et al 1999;2006), (Chen and Zaniolo, 2000), during the Chorochronos project (Koubarakis et al, 2003;Breunig et al, 2003), Helmut Schäben (Schaeben et al, 2003), the groups of Sisi Zlatanova (Khuan et al, 2008;Breunig and Zlatanova, 2011;Xu and Zlatanova, 2013), Jantien Stoter (Stoter et al, 2011), Jacynthe Pouliot (Pouliot et al 2008;Zamyadi et al, 2014), Thomas Kolbe (Kolbe et al, 2008;Kolbe et al, 2011), Löwner and Becker (Löwner and Becker, 2013), Umit Isikdag (Isikdag, 2014), Alias Abdul Rahman (Duncan and Abdul Rahman, 2015;Azri et al, 2016) and by other authors.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Application of 3d Spatio-Temporal Data Modeling, Management, and Analysis in Db4geo

Kuper

Breunig

Al-Doori

et al. 2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Many of today´s world wide challenges such as climate change, water supply and transport systems in cities or movements of crowds need spatio-temporal data to be examined in detail. Thus the number of examinations in 3D space dealing with geospatial objects moving in space and time or even changing their shapes in time will rapidly increase in the future. Prominent spatio-temporal applications are subsurface reservoir modeling, water supply after seawater desalination and the development of transport systems in mega cities. All of these applications generate large spatio-temporal data sets. However, the modeling, management and analysis of 3D geo-objects with changing shape and attributes in time still is a challenge for geospatial database architectures. In this article we describe the application of concepts for the modeling, management and analysis of 2.5D and 3D spatial plus 1D temporal objects implemented in DB4GeO, our service-oriented geospatial database architecture. An example application with spatio-temporal data of a landfill, near the city of Osnabrück in Germany demonstrates the usage of the concepts. Finally, an outlook on our future research focusing on new applications with big data analysis in three spatial plus one temporal dimension in the United Arab Emirates, especially the Dubai area, is given.

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Chapter 7: Architectures and Implementations of Spatio-temporal Database Management Systems

Cited by 15 publications

References 35 publications

A web-enabled extension of a spatio-temporal DBMS

A web-enabled extension of a spatio-temporal DBMS

Transaction Time Support Inside a Database Engine

Application of 3d Spatio-Temporal Data Modeling, Management, and Analysis in Db4geo

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