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Dissertation
A Self-Organising Multi-Agent Knowledge Base
(2021-12)
Digitale Städte sind zunehmend auf IT- und Kommunikationsinfrastruktur angewiesen. Sie können als große verteilte Systeme betrachtet werden, die aus heterogenen und autonomen Teilnehmern bestehen. Besonders in Notfall- und Krisensituationen muss kritisches Wissen, beispielsweise über verletzte Personen oder beschädigte Infrastruktur, zuverlässig auch unter eingeschränkter Kommunikation erreichbar sein. In einer solchen Umgebung würde eine zentrale Verwaltung des kritischen Wissens einen Engpass verursachen. Daher ...
Dissertation
Analyzing Given Names
(2020)
Computer science has evolved so much that it influences almost every part of human live. A particularly personal part of human live is the selection of a given name for a newborn baby. The name discovery service Nameling is our way to help expectant parents with this decision. It is a web service that helps parents to find a given name for their newborn baby. We want to further improve the user experience of Nameling by personalizing its name results for the current user. We deem this important, because the selection ...
Dissertation
Explaining and Visualizing Structural Knowledge in Bipartite Graphs
(2023)
Bipartite graphs are an important model for the representation and analysis of relationships between two different types of entities. Datasets in this form are commonly found in many fields, such as social networks, biology, and economics. Formal concept analysis is a research approach that allows for the analysis of such bipartite graphs by clustering the data into so-called concepts and ordering those in a lattice structure.
In this thesis we propose multiple approaches for the extraction and visualization of ...
Dissertation
Attribute Exploration with Multiple Experts
(2023)
Attribute exploration is a knowledge acquisition method from the realm of formal concept analysis that allows a domain expert to efficiently uncover the dependencies in a domain. It is based on a question-answering scheme where the exploration algorithm generates questions about dependencies in the domain that are then answered by a domain expert. Even though many variants and extension to this were developed, only few attempts to incorporate multiple experts were made. The overarching goal of this thesis is to extend ...
Dissertation
Situative Teams in Cooperative Autonomous Systems
(2023)
Distributed systems have been established in many areas of IT and will play an even more significant role in the future. Such systems are no longer limited to specific fields of application but interconnect many different domains. They encompass, e. g. Cloud Computing, Internet of Things, service robotics, and autonomous vehicles. The integrated sub-systems communicate in order to exchange information and, if necessary, perform tasks together. Moreover, the number of interconnected sub-systems is constantly growing. ...
Dissertation
Investigation and Elimination of Substructures in Formal Concept Analysis focusing on Boolean Suborders and Subcontexts
(2023)
In the field of Formal Concept Analysis, data is mainly presented in so-called formal contexts, which assign to a set of objects their respective attributes. From those concept lattices can be generated, where the objects are grouped with respect to their common attributes to represent the relationships in the data in a way that enhances the understandability for humans. However, since a concept lattice can be of exponential size compared to its associated formal context, the presented relationships often become hard ...
Dissertation
Symbolic Representation of Dynamic Knowledge for Robotic Teams
(2020-11)
Das Forschungsziel dieser Arbeit ist es, die konzeptionellen Grundlagen für ein Team autonomer Roboter zu entwickeln, welches in der Lage ist, Wissen über seine Umwelt symbolisch darzustellen, über sein symbolisches Wissen zu kommunizieren und mit dem Wissen zu schlussfolgern, während sich die Umgebung dynamisch ändert. Dieses Forschungsziel wird durch mehrere Anwendungsbereiche motiviert, wobei die Domäne der Haushaltsroboter das Forschungsziel am besten motiviert. Wir haben die Anwendungsdomänen und das Forschungsziel ...
Dissertation
A Language Ecosystem for Modeling Microservice Architecture
(2022)
The ongoing digital transformation of our economy and society poses significant challenges towards modern software systems. Application areas like Smart Cities and Industry 4.0 set high requirements on software quality attributes like scalability and reliability. At the same time, IT companies face an ever-growing demand in flexibility and continuous improvements of delivery cycles. Microservice Architecture (MSA) is a novel approach to the realization of software architectures that aims to foster their scalability, ...
Dissertation
Trajectory Mapping in Physical and Topical Spaces
(2023)
In this dissertation, two different types of trajectories are investigated. In the engfirst part of this work, we investigate methods for the analysis of physical trajectories. We focus on scenarios, in which signal strengths ofWiFi access points are recorded. In detail, they are recorded through smartphone devices by people moving through a building. By means of theWiFi signal strengths, (physical) trajectories of humans are reconstructed, which reflect the locations visited over time. Accurate localization based ...
Dissertation
Orometry, Intrinsic Dimensionality and Learning: Novel Insights into Network Data
(2023-11)
Today, networks are an integral part of our world. Let it be real-life friendship networks or social connections that are based on social media. In this thesis, we contribute to the understanding of networks by studying networks from three different perspectives. First, we adapt notions and concepts from orometry to metric data and networks to gain novel insights from a local perspective. Specifically, we study measures of local outstandingness and propose concepts to derive small hierarchies from larger networks. ...