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Dissertation
Conputational Linguistic Approach to Implicit Sentiment Analysis: Politeness and Sentiment Interaction
(2022)
Sentiment analysis is a hot topic in many research fields such as linguistics, computer science and marketing. With the development of technology, machines can reach very high performance on explicit sentiment analysis both sentence-level and aspect-level. The role of computational linguists has also changed from handcrafting scoring rules to guide training data annotation as the algorithms are developed from rule-based scoring to deep learning models that can extract language features themselves. Moreover, research ...
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
Patterns of Practice - Interdisciplinary Negotiation of Cultural Complexity through Practice-Based Methods in Informatics
(2022)
Following the principle of knowing through making, this thesis discusses development and application of a practice-based methodology for construction of digital artefacts within
cultural contexts. It addresses the epistemological diversity and complexity inhering within interdisciplinary projects, suggesting methodological devices able to navigate the variegated disciplinary landscape present within respective development projects. The conceptual pair complexity/complication acts as theoretical point of reference ...
Dissertation
Using Optical Satellite Imagery to Monitor and Understand Agricultural Land-cover Change
(2020-06)
The activities of humans have transformed the earth over the last decades. The transformation is estimated to increase further in response to the growing world population. This has caused many countries to devise means to utilize resources sustainably. Bio-economy is seen as a means to reduce the high reliance on fossil materials and ensure the provision of raw materials, energy and food to the increasing world population in a sustainable manner. However, the rising demands for biomass to produce bioenergy have relied ...
Dissertation
Formal Verification for ALICA Plans
(2021)
Mit der Entwicklung von Wissenschaft und Technik steigen auch die Fähigkeiten autonomer Roboter. Immer mehr und kompliziertere Roboterszenarien werden in vielen Bereichen realisierbar, wie z. B. Mäh-, Ernte- und Lagerroboter. Daher wird die Planung für sie zu einer immer wichtigeren Aufgabe. Da diese Roboter jedoch täglich komplexer werden, ist die Sicherheitszertifizierung ein unvermeidliches Anliegen bei der Entwicklung von mehr autonomen Robotern. Daher ist die Verifizierung der Pläne vor der Verwendung und dem ...
Dissertation
Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence
(2020)
Purpose: Previous studies revealed that around 75 percent of all start-ups fail at an early stage. One main reason for this tremendous failure rate is that entrepreneurs are typically confronted with high levels of uncertainty about the viability of their proposed business idea. Following this argumentation, entrepreneurial decision-making can be defined as complex decision-making problem under both risk and uncertainty. While risk includes quantifiable probabilities, uncertainty describes situations where neither ...
Dissertation
Training in virtuellen Feuerwehreinsätzen
(2022)
Im Zuge des digitalen Wandels und verdeutlicht durch die Corona‑Pandemie, ist allgemein ein steigender Bedarf an E‑Learning Lösungen für Aus‑ und Fortbildungszwecke zu beobachten. So ist auch die Feuerwehr in Deutschland daran interessiert, Präsenzzeiten an Ausbildungszentren effizienter zu gestalten und Freiwilligen Feuerwehren alternative Fortbildungsmöglichkeiten für mangelnde Ressourcen zur Verfügung zu stellen. Serious Games bieten die Möglichkeit Sachverhalte interaktiv sowie mittels Virtuelle Realität (VR) ...
Dissertation
Crowd-Based Entrepreneurship
(2020)
The aim of this dissertation is to explore the innovation potential of crowdsourcing for entrepreneurship. The main focus is to discover how crowd-based infrastructures (i. e., crowdsourcing platforms and crowdfunding platforms) can support entrepreneurs in their innovation activities and how this new paradigm can be used to generate value for customers as well as actors of entrepreneurial ecosystems. The results of the dissertation show that crowdsourcing offers numerous opportunities to support entrepreneurs in ...
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
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 ...