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Not All Reviews are Equal - a Literature Review on Online Review Helpfulness
(Association for Information Systems, 2019)
The amount of online reviews is growing significantly. Between 2014 and 2017, the number of reviews for TripAdvisor grew by 300% and for Yelp by 208%. However, not all online reviews are equally valuable. Some reviews are perceived to be more helpful or trustworthy then others. Hence, plethora of scholars have investigated the role of online reviews and researched factors and characteristics determining its helpfulness. Nevertheless, mixed findings were found. Consequently, the purpose of our paper is to present a ...
Konferenzveröffentlichung
Towards A Taxonomy of Text Mining Features
(Association for Information Systems, 2019)
Recently, text mining has received special attention from both researchers and practitioners, since it enables the development of intelligent and automated services. Text mining has been influenced by different disciplines like computer science, statistics, computational linguistics and library and information sciences. However, text mining features that evolved in one particular discipline are often unknown or rarely used in the other disciplines. No scientific feature framework exits which facilitates costly feature ...
Dissertation
MOCCAA - MObile Cloud Computing AdaptAble
(2019-08)
The primary objective of Mobile Cloud Computing (MCC) is the support of resource-constrained mobile devices by means of Cloud or nearby computing resources. In general, this is achieved by outsourcing or offloading computational intensive tasks of mobile applications. This allows, for instance, to virtually extend the processing power of mobile devices and, indirectly, to save battery life. In case remote resources are not available or the communication link is broken, still a local execution is possible.
The ...
Konferenzveröffentlichung
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Gestaltung smarter persönlicher Assistenten zwischen Rechtsverträglichkeit und Dienstleistungsqualität
(Gesellschaft für Informatik e.V. (GI), 2019)
Smarte persönliche Assistenten von Amazon, Google und zahlreichen anderen Anbietern ermöglichen es, qualitativ hochwertige elektronische Dienstleistungen anzubieten. Gleichzeitig bringen diese Systeme auch viele Risiken mit sich. Berichte von diskriminierenden oder unverständlichem Systemverhalten häufen sich und verursachen Skepsis in der Gesellschaft. Diesen Problemen kann mit einer gleichermaßen rechtsverträglichen und qualitätsorientierten ITGestaltung entgegengewirkt werden. In diesem Beitrag werden Rechtsvert ...
Konferenzveröffentlichung
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Alexa, Can You Help Me Solve That Problem? - Understanding the Value of Smart Personal Assistants as Tutors for Complex Problem Tasks
(universi - Universitätsverlag Siegen, 2019)
In recent decades, the number of students per lecturer at universities has constantly risen. In these learning scenarios, individual lecturer support for helping students actively acquiring new knowledge is hardly possible. However, active student behavior is necessary for successful learning. Smart Personal Assistants such as Amazon’s Alexa or Google’s Home promise to fill this gap by being students’ individual tutors. In order to understand what students expect from Smart Personal Assistants as tutors and how they ...
Dissertation
Implizite Positionierung unter Nutzung des Smartphone-Kompasses
(2019)
Der Ort, an dem ein Nutzer sich in einem Gebäude aufhält, spielt für technische Dienste wie Heimautomatisierung eine zentrale Rolle. In dieser Dissertation wird die Implizite Positionierung vorgestellt, ein neues Verfahren, das den Aufenthaltsort eines Nutzers mittels des Kompasses eines Smartphones erkennt, das der Nutzer bei sich trägt. Das Verfahren findet in den Kompassdaten Muster, die entstehen, wenn Nutzer durch Flure, Treppen, etc. oder um Ecken gehen. Da die Ausrichtungen dieser Orte die Nutzer in ihrer ...
Dissertation
Buffered Simulation for Büchi Automata
(2019)
Wir stellen eine neue Familie von Simulationsrelationen zwischen zwei nicht deterministischen Büchi Automaten (NBA), genannt gepufferte Simulation vor. Wir erweitern das Spiel-Framework der üblichen fairen Simulation, so dass Duplicator ihren Spielzug überspringen und die Buchstaben, die Spoiler gelesenen hat, vorübergehend in einem Puffer speichern kann. Duplicator kann diese Buchstaben in ihrer Struktur dann später ausführen. Duplicator hat damit eine Vorschau in die Bewegungen von Spoiler und somit mehr Chancen, ...
Dissertation
Diversity of aphyllophoroid fungi from taxonomical and biogeographical perspectives
(2018)
Comprehensive knowledge of biodiversity is a prerequisite for its long-term conservation and sustainable use. Fungi play crucial roles in ecosystems and are among the species-richest organism groups on Earth. However, all aspects of their diversity remain underexplored.
In this study, we aimed to fill the gaps in occurrence data and taxonomy as well as in understanding spatial diversity patterns of aphyllophoroid fungi (non-gilled macroscopic Basidiomycota). We digitized and made openly accessible 4,041 records of ...
Dissertation
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Towards Effective Natural Language Application Development
(2019)
There is a current trend that more and more computer programs analyze written or spoken natural language. For example, DVAs, IE systems, machine translation systems, and many other types of programs process natural language in order to solve specific use cases when interacting with humans via natural language. Amazon, Google, and Mycroft AI are just some of the companies that have produced DVAs capable of interacting with humans via voice. Such NLP applications use techniques from computer science and artificial ...
Dissertation
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Discovering Knowledge in Bipartite Graphs with Formal Concept Analysis
(2019)
Since the 1970s knowledge based approaches are a crucial part of artificial intelligence (AI) research. In this work we investigate data sets in the form of bipartite graphs, i.e., graphs where a bipartition of the vertex set respecting the edge set can be found, for knowledge. To this end we first relate those bipartite graphs to the structure formal context, as used in formal concept analysis (FCA). This link enables us to employ the whole tool-set of FCA to bipartite graphs and therefore, notably, to bipartite ...