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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Modellierung zeitbezogener Daten im data warehouse /

Stock, Steffen. January 2001 (has links)
Thesis (doctoral)--Universität, Duisburg, 2000.
2

Temporales Web-Management

Ebner, Walter 10 1900 (has links) (PDF)
In dieser Arbeit wird ein System entwickelt, welches die Zeit in das World Wide Web integriert, um einerseits die Evolution der Web-Seiten nachvollziehen und jeden vergangenen Stand wieder herstellen zu können und das andererseits eine Möglichkeit schafft, Ressourcen mit zusätzlichen temporalen Informationen auszustatten. Nach einer kurzen, den Fokus der Arbeit beschreibenden Einleitung, widmet sich das zweite Kapitel den grundsätzlichen Fragen der Zeitdimensionen im Web. Es werden Darstellungsformen von Datum und Zeit sowie die Möglichkeiten, Zeitinformationen mit bestehenden Webtechnologien zu integrieren, vorgestellt. Dazu werden Konzepte der temporalen Datenbanken auf das Web übertragen und gezeigt, dass durch Unterstützung der Transaktionszeit eine Versionierung von Web-Dokumenten ermöglicht wird. Kapitel 3 geht dann auf weiterführende Konzepte zur Darstellung von Zeit im World Wide Web ein. Es wird die Dublin Core Metadata Inititative vorgestellt und anhand von Beispielen gezeigt, wie derartige Daten in HTML-Dokumente eingebaut werden können. Im vierten Kapitel werden generelle Anforderungen an temporales Content-Management formuliert und eine Reihe von Ansätzen zur Erfüllung der Entwicklungsspezifikation beschrieben. Es wird gezeigt, dass keines der bisherigen Systeme eine wirklich zufriedenstellende Lösung anbietet. Deshalb wird in Kapitel 5 ein Prototyp eines temporalen Web-Informationssystems vorgestellt, der im Rahmen dieser Arbeit entwickelt wurde und somit deren Kernstück darstellt. (Autorenref.)
3

Concepts for the representation, storage, and retrieval of spatio-temporal objects in 3D/4D Geo-Informations-Systems

Siebeck, Jörg. Unknown Date (has links) (PDF)
University, Diss., 2003--Bonn.
4

Einsatz von zeitorientierten Datenbanken für Verträge im Rechnungswesen Implementierungsmöglichkeiten mit Datenmodellen und Datenbanksystemen /

Dresing, Holger. January 1998 (has links)
Universiẗat-Gesamthochsch., Diss.--Paderborn, 1998. / Literaturverz. S. 274 - 297.
5

Modeling spatial and temporal data in an object oriented constraint database framework

Di Deo, Annalisa. Unknown Date (has links) (PDF)
Techn. University, Diss., 2002--Berlin.
6

Spatio-temporal information system for the geosciences

Le, Hai Ha 03 November 2014 (has links) (PDF)
The development of spatio–temporal geoscience information systems (TGSIS) as the next generation of geographic information systems (GIS) and geoscience information systems (GSIS) was investigated with respect to the following four aspects: concepts, data models, software, and applications. These systems are capable of capturing, storing, managing, and querying data of geo–objects subject to dynamic processes, thereby causing the evolution of their geometry, topology and geoscience properties. In this study, five data models were proposed. The first data model represents static geo–objects whose geometries are in the 3–dimensional space. The second and third data models represent geological surfaces evolving in a discrete and continuous manner, respectively. The fourth data model is a general model that represents geo–objects whose geometries are n–dimensional embedding in the m–dimensional space R^m, m >= 3. The topology and the properties of these geo–objects are also represented in the data model. In this model, time is represented as one dimension (valid time). Moreover, the valid time is an independent variable, whereas geometry, topology, and the properties are dependent (on time) variables. The fifth data model represents multiple indexed geoscience data in which time and other non–spatial dimensions are interpreted as larger spatial dimensions. To capture data in space and time, morphological interpolation methods were reviewed, and a new morphological interpolation method was proposed to model geological surfaces evolving continuously in a time interval. This algorithm is based on parameterisation techniques to locate the cross–reference and then compute the trajectories complying with geometrical constraints. In addition, the long transaction feature was studied, and the data schema, functions, triggers, and views were proposed to implement the long transaction feature and the database versioning in PostgreSQL. To implement database versioning tailored to geoscience applications, an algorithm comparing two triangulated meshes was also proposed. Therefore, TGSIS enable geologists to manage different versions of geoscience data for different geological paradigms, data, and authors. Finally, a prototype software system was built. This system uses the client/server architecture in which the server side uses the PostgreSQL database management system and the client side uses the gOcad geomodeling system. The system was also applied to certain sample applications.
7

Spatio-temporal information system for the geosciences: concepts, data models, software, and applications

Le, Hai Ha 20 October 2014 (has links)
The development of spatio–temporal geoscience information systems (TGSIS) as the next generation of geographic information systems (GIS) and geoscience information systems (GSIS) was investigated with respect to the following four aspects: concepts, data models, software, and applications. These systems are capable of capturing, storing, managing, and querying data of geo–objects subject to dynamic processes, thereby causing the evolution of their geometry, topology and geoscience properties. In this study, five data models were proposed. The first data model represents static geo–objects whose geometries are in the 3–dimensional space. The second and third data models represent geological surfaces evolving in a discrete and continuous manner, respectively. The fourth data model is a general model that represents geo–objects whose geometries are n–dimensional embedding in the m–dimensional space R^m, m >= 3. The topology and the properties of these geo–objects are also represented in the data model. In this model, time is represented as one dimension (valid time). Moreover, the valid time is an independent variable, whereas geometry, topology, and the properties are dependent (on time) variables. The fifth data model represents multiple indexed geoscience data in which time and other non–spatial dimensions are interpreted as larger spatial dimensions. To capture data in space and time, morphological interpolation methods were reviewed, and a new morphological interpolation method was proposed to model geological surfaces evolving continuously in a time interval. This algorithm is based on parameterisation techniques to locate the cross–reference and then compute the trajectories complying with geometrical constraints. In addition, the long transaction feature was studied, and the data schema, functions, triggers, and views were proposed to implement the long transaction feature and the database versioning in PostgreSQL. To implement database versioning tailored to geoscience applications, an algorithm comparing two triangulated meshes was also proposed. Therefore, TGSIS enable geologists to manage different versions of geoscience data for different geological paradigms, data, and authors. Finally, a prototype software system was built. This system uses the client/server architecture in which the server side uses the PostgreSQL database management system and the client side uses the gOcad geomodeling system. The system was also applied to certain sample applications.

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