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- Fachbereich 4 (116)
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The lack of a formal event model hinders interoperability in distributed event-based systems. Consequently, we present in this paper a formal model of events, called F. The model bases on an upper-level ontology and pro-vides comprehensive support for all aspects of events such as time and space, objects and persons involved, as well as the structural aspects, namely mereological, causal, and correlational relationships. The event model provides a flexible means for event composition, modeling of event causality and correlation, and allows for representing different interpretations of the same event. The foundational event model F is developed in a pattern-oriented approach, modularized in different ontologies, and can be easily extended by domain specifific ontologies.
Avoidance of routing loops
(2009)
We introduce a new routing algorithm which can detect routing loops by evaluating routing updates more thoroughly. Our new algorithm is called Routing with Metric based Topology Investigation (RMTI), which is based on the simple Routing Information Protocol (RIP) and is compatible to all RIP versions. In case of a link failure, a network can reorganize itself if there are redundant links available. Redundant links are only available in a network system like the internet if the topology contains loops. Therefore, it is necessary to recognize and to prevent routing loops. A routing loop can be seen as a circular trace of a routing update information which returns to the same router, either directly from the neighbor router or via a loop topology. Routing loops could consume a large amount of network bandwidth and could impact the endtoend performance of the network. Our RMTI approach is capable to improve the efficiency of Distance Vector Routing.
Semantic desktop environments aim at improving the effectiveness and efficiency of users carrying out daily tasks within their personal information management infrastructure (PIM). They support the user by transferring and exploiting the explicit semantics of data items across different PIM applications. Whether such an approach does indeed reach its aim of facilitating users" life and—if so—to which extent, however, remains an open question that we address in this paper with the first summative evaluation of a semantic desktop approach. We approach the research question exploiting our own semantic desktop infrastructure, X-COSIM. As data corpus, we have used over 100 emails and 50 documents extracted from the organizers of a conference-like event at our university. The evaluation has been carried out with 18 subjects. We have developed a test environment to evaluate COSIMail and COSIFile, two semantic PIM applications based on X-COSIM. As result, we have found a significant improvement for typical PIM tasks compared to a standard desktop environment.
Foliicolous lichens are one of the most abundant epiphytes in tropical rainforests and one of the few groups of organisms that characterize these forests. Tropical rainforests are increasingly affected by anthropogenic disturbance resulting in forest destruction and degradation. However, not much is known on the effects of anthropogenic disturbance on the diversity of foliicolous lichens. Understanding such effects is crucial for the development of appropriate measures for the conservation of such organisms. In this study, foliicolous lichens diversity was investigated in three tropical rainforests in East Africa. Godere Forest in Southwest Ethiopia is a transitional rainforest with a mixture of Afromontane and Guineo-Congolian species. The forest is secondary and has been affected by shifting cultivation, semi-forest coffee management and commercial coffee plantation. Budongo Forest in West Uganda is a Guineo-Congolian rainforest consisting of primary and secondary forests. Kakamega Forest in western Kenya is a transitional rainforest with a mixture of Guineo-Congolian and Afromontane species. The forest is a mosaic of near-primary forest, secondary forests of different seral stages, grasslands, plantations, and natural glades.
Social networking platforms as creativity fostering systems: research model and exploratory study
(2008)
Social networking platforms are enabling users to create their own content, share this content with anyone they invite and organize connections with existing or new online contacts. Within these electronic environments users voluntarily add comments on virtual boards, distribute their search results or add information about their expertise areas to their social networking profiles and thereby share it with acquaintances, friends and increasingly even with colleagues in the corporate world. As a result, it is most likely that the underlying knowledge sharing processes result in many new and creative ideas. The objective of our research therefore is to understand if and how social social networking platforms can enforce creativity. In addition, we look at how these processes could be embedded within the organizational structures that influence innovative knowledge sharing behavior. The basis for our research is a framework which focuses on the relations between intrinsic motivation, creativity and social networking platforms. First results of our empirical investigation of a social software platform called "StudiVZ.net" proved that our two propositions are valid.
Querying for meta knowledge
(2008)
The Semantic Web is based on accessing and reusing RDF data from many different sources, which one may assign different levels of authority and credibility. Existing Semantic Web query languages, like SPARQL, have targeted the retrieval, combination and reuse of facts, but have so far ignored all aspects of meta knowledge, such as origins, authorship, recency or certainty of data, to name but a few. In this paper, we present an original, generic, formalized and implemented approach for managing many dimensions of meta knowledge, like source, authorship, certainty and others. The approach re-uses existing RDF modeling possibilities in order to represent meta knowledge. Then, it extends SPARQL query processing in such a way that given a SPARQL query for data, one may request meta knowledge without modifying the query proper. Thus, our approach achieves highly flexible and automatically coordinated querying for data and meta knowledge, while completely separating the two areas of concern.
Ziel der vorliegenden Arbeit ist die Erforschung von Einstellungen und prosozialem Verhalten zwischen Arbeitsgruppen aus Sicht der Theorie der sozialen Identität und der Kontakthypothese. Dem Rekategorisierungsmodell von Gaertner und Dovidio (2000) folgend wird angenommen, dass "optimale" Kontaktbedingungen (Allport, 1954) eine gemeinsame organisationale Identität anregen. Diese gemeinsame Identität sollte verschiedene Arbeitsgruppen dazu motivieren, zusammenzuarbeiten und freiwilliges Arbeitsverhalten zu zeigen anstelle von Voreingenommenheiten. Vorhersagen des Rekategorisierungsmodells werden zusätzlich durch Annahmen aus dem Eigengruppen-Projektionsmodell (Mummendey & Wenzel, 1999) und dem Selbstkategorisierungsmodell der Gruppennormen (Terry & Hogg, 1996) ergänzt. Die abgeleiteten Hypothesen werden an einer Stichprobe von N1 = 281 MitarbeiterInnen aus N2 = 49 Abteilungen und den entsprechenden AbteilungsleiterInnen eines deutschen Versandhandelsunternehmens überprüft (Studie 1). Die Ergebnisse zeigen, dass Kontaktbedingungen auf Gruppen- und Personenebene weniger Voreingenommenheit zwischen Arbeitsgruppen, sowie mehr prosoziales Verhalten (d. h. Kooperation und Hilfeverhalten) vorhersagen. Die Repräsentation als gemeinsame Gruppe vermittelt diesen Zusammenhang für die Variablen Bewertung der Fremdgruppe und Kooperation. Dagegen wird der Zusammenhang zwischen gemeinsamer organisationaler Identität und Voreingenommenheit durch die relative Prototypikalität der Abteilung moderiert, wie es das Eigengruppen-Projektionsmodell vorhersagt. Der Effekt einer prosozialen Gruppennorm auf Hilfeverhalten wird durch die Identifikation mit der Arbeitsgruppe moderiert. In einer Längsschnittstudie mit insgesamt N = 57 Mitgliedern studentischer Projektgruppen wird der Befund repliziert, dass Kontakt unter "optimalen" Bedingungen zu mehr prosozialem Verhalten und weniger Voreingenommenheit zwischen organisationalen Gruppen führt. Der Mediationseffekt durch eine gemeinsame Gruppenidentität zeigt sich jedoch in Studie 2 nicht. Die Ergebnisse der ersten Studie lassen vermuten, dass interpersonales Hilfeverhalten besser durch Prädiktoren auf der gleichen Kategorisierungsebene (d. h. Personenebene) vorhergesagt werden kann (vgl. Haslam, 2004). Daher wird die zusätzliche Annahme getroffen, dass Kontakt in einem Kontext, welcher persönliche Identitäten salient macht (d. h. zu Dekategorisierung führt), interpersonales Verhalten besser vorhersagen kann. Dagegen sollte Kontakt in einem Kontext, welcher Gruppenidentitäten salient macht (d. h. zu Kategorisierung führt), intergruppales Verhalten besser vorhersagen können (vgl. Tajfel, 1978). Zusätzliche Daten aus Studie 1 belegen diesen kontextspezifischen Effekt von Kontakt auf interpersonales bzw. intergruppales prosoziales Verhalten. Im letzten Schritt wird das längsschnittliche Kontaktmodell von Pettigrew (1998) untersucht, welches Kontakt in Kontexten, die zu Dekategorisierung, Kategorisierung bzw. Rekategorisierung führen, in einer zeitlichen Abfolge miteinander verbindet. Erste Befunde aus Studie 2 zeigen, dass eine Abfolge der Kategorisierungsprozesse beginnend bei Dekategorisierung über Kategorisierung hin zu Rekategorisierung eine besonders effektive Möglichkeit zur Verbesserung der Kooperation zwischen Gruppen bieten könnte. Zum Abschluss wird ein Kontextspezifisches Kontaktmodell vorgeschlagen, das Befunde aus den beiden vorgestellten Studien integriert und zu weiterer Forschung an prosozialem Verhalten zwischen Arbeitsgruppen anregen soll. Mögliche Mediatoren und Moderatoren werden neben einer Reihe von Implikationen für die Forschung und Praxis diskutiert.
In dieser Dissertation wird eine Verfahrensweise für die formale Spezifikation und Verifikation von Benutzerschnittstellen unter Sicherheitsaspekten vorgestellt. Mit dieser Verfahrensweise können beweisbar sichere Benutzerschnittstellen realisiert werden. Die Arbeit besteht aus drei Teilen. Im ersten Teil wird eine Methodologie für die formale Beschreibung von Mensch-Maschine-Interaktion entwickelt. Im zweiten Teil werden gängige Computersicherheitskonzepte für die Mensch-Maschine-Interaktion angepasst und mit den im ersten Teil entwickelten Methoden formalisiert. Dabei wird ein generisches formales Modell von Mensch-Maschine-Interaktion erstellt. Im dritten Teil wird die Methodologie, die in den ersten beiden Teilen entwickelt wurde, an einem sicheren Email-Client als exemplarischen Anwendungsprogramm demonstriert.
Probability propagation nets
(2008)
In der vorliegenden Arbeit wird eine Petri-Netz-Repräsentation für die Propagation von Wahrscheinlichkeiten und Evidenzen (Likelihoods) vorgestellt und auf probabilistische Horn-Abduktion sowie Fehlerbäume und Bayes-Netze angewendet. Diese sogenannten Wahrscheinlichkeits-Propagations-Netze (probability propagation nets) machen Propagations-Prozesse transparent, indem sie strukturelle und dynamische Aspekte in einer homogenen Darstellung vereinen. Anhand populärer Beispiele wird verdeutlicht, dass Wahrscheinlichkeits-Propagations-Netze die Propagations-Prozesse - besonders im Hinblick auf die Bayes-Netz-Algorithmik - anschaulich darstellen und gut nachvollziehbar machen, so dass sie sich für die Analyse und Diagnose probabilistischer Modelle eignen. Durch die Repräsentation von Fehlerbäumen mit Wahrscheinlichkeits-Propagations-Netzen können diese Vorzüge auf die Modellierung technischer Systeme übertragen werden.