Thesis (doctoral)--Universität, Duisburg, 2000.

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.)

University, Diss., 2003--Bonn.

Universiẗat-Gesamthochsch., Diss.--Paderborn, 1998. / Literaturverz. S. 274 - 297.

Techn. University, Diss., 2002--Berlin.

From the Motivation: „Description Logics (DLs) are a family of formalisms well-suited for the representation of and reasoning about knowledge. Whereas most Description Logics represent only static aspects of the application domain, recent research resulted in the exploration of various Description Logics that allow to, additionally, represent temporal information, see [4] for an overview. The approaches to integrate time differ in at least two important aspects: First, the basic temporal entity may be a time point or a time interval. Second, the temporal structure may be part of the semantics (yielding a multi-dimensional semantics) or it may be integrated as a so-called concrete domain. Examples for multi-dimensional point-based logics can be find in, e.g., [21;29], while multi-dimensional interval-based logics are used in, e.g., [23;2]. The concrete domain approach needs some more explanation. Concrete domains have been proposed by Baader and Hanschke as an extension of Description Logics that allows reasoning about 'concrete qualities' of the entities of the application domain such as sizes, length, or weights of real-worlds objects [5]. Description Logics with concrete domains do usually not use a fixed concrete domain; instead the concrete domain can be thought of as a parameter to the logic. As was first described in [16], if a 'temporal' concrete domain is employed, then concrete domains may be point-based, interval-based, or both. ...”

Auditorische Transduktion beschreibt die Umwandlung von Schall in elektrische Signale in Rezeptorzellen. Dies geschieht durch eine Kette biophysikalischer Prozesse: mechanische Ankopplung der Schallwelle, Öffnung von mechanosensitiven Ionenkanälen in den Rezeptorzellen, Ansammlung des Membranpotentials und Auslösung von Aktionspotentialen. In dieser Arbeit wird die damit verbundene Signalverarbeitung am Beispiel der Rezeptorzellen im Ohr von Heuschrecken untersucht. Die Transduktion wird dazu als Kaskade einzelner funktioneller Module beschrieben. Es wird gezeigt, wie derartige Module aus der Beobachtung der System-Antwort, hier der Aktionspotentiale im auditorischen Nerv, mit Hilfe der Iso-Antwort-Methode charakterisiert werden können. Dabei werden im Experiment unterschiedliche akustische Reize ermittelt, die die gleiche System-Antwort liefern. In drei aufeinander aufbauenden experimentellen Untersuchungen führt dies zu folgenden Ergebnissen: 1) Für stationäre Signale wird die Feuerrate der Rezeptorzellen durch die Energie der Trommelfell-Schwingung reguliert. 2) Die auditorische Transduktion lässt sich durch eine Kaskade aus zwei linearen Filtern und zwei nicht-linearen Transformationen (LNLN-Kaskade) beschreiben. Die involvierten Prozesse agieren im sub-Millisekunden-Bereich und können mit der beschriebenen Methode - trotz der auf etwa eine Millisekunde beschränkten Präzision der Aktionspotentiale - mit einer Genauigkeit von ca. 10 Mikrosekunden vermessen werden. 3) Die Adaptation der Feuerrate enthält neben einem dominierenden rückgekoppelten Prozess, der durch die Feuerrate selbst gesteuert wird, auch eine Komponente, die direkt durch das Eingangssignal, die Schallintensität, ausgelöst wird und mechanischer Natur ist. Die Ergebnisse spiegeln die hohen Anforderungen an das zeitliche Auflösungsvermögen im Ohr wider. Die verwendete Methodik ist jedoch auch auf viele andere systemtheoretische Untersuchungen biophysikalischen Kaskaden anwendbar. / Auditory transduction describes the conversion of sound into electrical signals in receptor cells. A sequence of biophysical processes is involved: the mechanical coupling of the sound-pressure wave, the opening of mechanosensory ion channels in the receptor cells, the accumulation of membrane potential and the generation of action potentials. In this work, the signal processing in receptor cells is investigated. The ears of grasshoppers serve as a model system, and transduction is described as a cascade of functional modules. It is shown how such modules can be characterized by the iso-response method from observations of the system''s response. To this end, different acoustic stimuli are determined experimentally that trigger the same response. In three consecutive experimental investigations, this approach leads to the following results: 1) For stationary signals, the firing rate of the receptor neurons is governed by the energy of the ear-drum vibrations. 2) Auditory transduction can be described by a cascade that consists of two linear filters and two nonlinear transformations (LNLN cascade). The processes involved act on sub-millisecond time scales and can be analyzed by the described method with a resolution of around 10 microseconds - despite the limited precision of the action potentials near one millisecond. 3) Spike-frequency adaptation is governed by a feedback process, which is governed by the firing rate, but also contains a feedforward component triggered by the system''s input, the sound intensity. This component is of mechanical origin. The results reflect the high demands for temporal resolution in the ear. The applied method, however, can also be used for a large range of further system-theoretical investigations of biophyical cascades.

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.

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.