Direkt zum Inhalt | Direkt zur Navigation

Informatik 5
Information Systems
Prof. Dr. M. Jarke
Sektionen
Benutzerspezifische Werkzeuge
Sie sind hier: Startseite Theses

Contact

Prof. Dr. M. Jarke
RWTH Aachen
Informatik 5
Ahornstr. 55
D-52056 Aachen
Tel +49/241/8021501
Fax +49/241/8022321

How to find us

Annual Reports

Disclaimer

Webmaster

 

 

Theses

Information about Diploma/Master thesis process

Open Theses  


Master
Activity Dialog Service
Intelligent agenda planning systems create itineraries for users based on their appointments and activities. The objective of the thesis is the analysis of the user planning task for appointments and activities, the design of a semantic model for the user dialog with an appointment and activity planning system. As proof of concept a functional prototype should be implemented and evaluated.
Master
Analyzing different data structures for the immutable persistence of information and tamper-secure execution of processes
Posted on 31.08.2018; Supervised by Prof. Dr. Thomas Rose; Advisor(s): Thomas Osterland
Often only noticed as a technology that enables the digital currency Bitcoin, blockchain is a novel protocol that allows the distributed and secure storing of information and untempered execution of program code in trust-less environments. Did you ever feel the intense desire to write a thesis about blockchain or do you have a slight hope that blockchain is the one-and-only topic that touches your heart? Use your chance now! We are looking forward to hear from you.
Bachelor, Master
Conversion from RDF to Prototype-based Knowledge Base
Posted on 24.10.2016; Supervised by Prof. Dr. Stefan Decker; Advisor(s): Dr. Michael Cochez
Prototypes have been proposed recently as a new way to represent knowledge. In recent years many datasets have been published using RDF. Your task is to find out how the RDF dataset can be converted to prototypes in an efficient manner. For a master thesis, you also have to work on the optimal conversion for different requirements such as updates in the original RDF data.
Bachelor
Developing a Data Annotation Tool for Scientific Data Management
Posted on 25.10.2016; Supervised by Prof. Dr. Stefan Decker; Advisor(s): Dr. Oya Deniz Beyan
Semantic technologies and RDF data representation can improve the reusability of scientific data and enable scientist to reproduce the experiments. However there is no tool to support researcher for making their data semantically interpretable by computers. Aim of the thesis is to understand the benefits of semantic web technologies for reproducible research and develop a tool which can convert experimental data to RDF by annotating with selected data models.
Bachelor
Educational Escape Games for Mixed Reality
Posted on 17.09.2018; Supervised by PD Dr. Ralf Klamma, AOR
Based on our GAMR framework for gamification of mixed reality training we want to explore the design and implementation of mixed reality escape rooms in various educational settings.
Bachelor, Master
Evaluating the performance of all-pairs personalized page rank
Posted on 23.10.2017; Supervised by Prof. Dr. Stefan Decker; Advisor(s): Dr. Michael Cochez
Recently, a new approach for computing the personalized pagerank (PPR) for all nodes in a graph was presented by the adviser of this thesis. Personalized pagerank can be used to determine how important specific nodes in a graph are from the viewpoint of a specific node, or set of nodes. For example, it can be used to determine which web pages are relevant for a user, given a set of pages he has visited before. The improvement which the advisor of the thesis devised is useful when the PPR has to be computed for all nodes in the graph. The gain in speed is due to reuse of already computed PPR values for other nodes and a clever ordering of nodes. The student working on this thesis will experiment with this technique and others. First, the student needs to investigate ways to parallelize the algorithms and analyse the algorithms and their parameters experimentally. For a master thesis, the student has to improve the algorithm to optimize loops and experiment whether other improvements in the ordering pay of (i.e., whether other heuristics for finding the order work better and can be computed fast enough to speed up the overall algorithm). Besides, the student would investigate parallel computation of the order and actual PPR. External resources: https://pdfs.semanticscholar.org/c63e/b92a805c3eb636865ecfbd799fda32194753.pdf http://users.jyu.fi/~miselico/papers/GlobalRDFEmbedding.pdf sections 3.2-4
Bachelor
Evaluation of Stream Sampling Algorithms
Posted on 08.02.2017; Supervised by Prof. Dr. Stefan Decker; Advisor(s): Dr. Michael Cochez
The student will implement several stream sampling algorithms and perform experiments to compare their performance. The implementations are done on top of streaming frameworks like Spark, Apache Flink, and Storm.
Master
Exploring Unknown Environments - Finding Pollution in Underground Pipes
Posted on 16.11.2018; Supervised by Prof. Dr.-Ing. Gerd Ascheid, Prof. Dr. Stefan Decker; Advisor(s): Dr. Michael Cochez, Ahmed Hallawa
Master
Feature Clustering and Visualization of High Dimensional Data using Clique Cover Theory
Posted on 29.01.2019; Supervised by Prof. Dr. Christoph Quix; Advisor(s): Arnab Chakrabarti, M.Sc.
Approaches such as clustering and classification that are analytically or computationally manageable in low dimensions become intractable as the dimensions increases. This happens because of a phenomenon known as “the curse of dimensionality” which is commonly observed in high dimensional data. Thus the aim of this thesis is to come up with a novel approach for feature clustering, selection, and visualization using the graph theoretical approach of Clique Covers.
Master
Interactive Support for Business Modelling
Posted on 21.06.2017; Supervised by Prof. Dr. Thomas Rose; Advisor(s): Thomas Osterland
A business model is an abstract model of the business of one or more cooperating organisations. It is a conceptual and architectural implementation of a business strategy and the foundation for the implementation of business processes and information systems. The research objective of this thesis is the design, implementation and evaluation of an interactive tool for the engineering of a business model.
Master
Machine Economy for Dynamic Configurations of Production Processes
Posted on 12.09.2018; Supervised by Prof. Dr. Thomas Rose; Advisor(s): Thomas Osterland
In the context of Industry 4.0 and the Internet of Things, the autonomization of cyber physical systems is increasingly coming to the fore. Just imagine an autonomous vehicle that offers commuter services against payment. The electric vehicle has to pay tolls, requires energy from charging stations and employs washing services from time to time. Considering all entities in this process as agents that can interact and carry wallets, one can easily envision a machine-to-machine economy. Technical agents decide what tasks to conduct regarding costs, capabilities and earnings as illustrated by the demonstrators of Smart Replenishment Box and Smart Vehicle Control1.
Master
Measuring coherence accross media in learning environments
Posted on 28.09.2017; Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Marc Spaniol
Multimedia content based indexing delivered a lot of models for the analysis of multimedia materials. In modern educational platforms, e.g. MOOCs and self-regulated learning platforms. In consequence, multimedia materials are produced by educational designers but also by the learners during their learning processes. Coherence is a semantic measure for the local and global connectivity of e.g. sentences, paragraphs, videos, slides among others. Computer linguistics has provided impressive results for measuring the quality of writing, e.g. for automatic essay scoring. To measure the coherence of multimedia materials many computational methods reaching from natural language processing to machine learning needs to be combined in a common coherence model. Goal of this master thesis is to co-develop a coherence model for cross-media coherence and to prototypically combine these computational methods for a webinar.
Master
Next-generation Sequencing Using Data Lakes - MA / BA
Posted on 17.10.2017; Supervised by Prof. Dr. Thomas Berlage, Prof. Dr. Christoph Quix; Advisor(s): Dr. Sandra Geisler, Tillmann Eitelberg
NGS Pipeline on Azure Data Lake The development of next-generation sequencing (NGS) technologies at the beginning of the 21st century opened the door for revolutionary study setups which enables access to a long time closed dimension of knowledge in several fields of research like genetics, ecology and medicine. The so called “Ppipeline” is the link between different work steps and corresponding tools within the workflow when analyzing a NGS dataset. Microsoft Azure Data Lake is based on two different services. The Azure Data Lake Store allows to store different types of data in an almost unlimited size. With Azure Data Lake Analytics it’s possible to run massively parallel data transformation and processing programs massively in U-SQL, R, Python, and .NET over petabytes of data stored in the Azure Data Lake Store. In our company, we develop the system BOA , a Pipeline based on Microsoft Azure Data Lake designed for analyzing NGS datasets. In order to achieve maximum performance and optimal results, the data for the various steps are partitioned and analyzed using different algorithms. The input and output of the data within BOA is done via a user-friendly user interface. In addition, the system offers the possibility to analyze the data directly against various reference databases. The goals of this thesis are: - to evaluate different algorithms for data partitioning in the context von RNA sequences - to evaluate different algorithms in different languages (C#, R, Python) to optimize the performance in sequence alignment - to design and implement an incremental loading process of different RNA reference databases for the alignment process
Bachelor, Master
Optimizing Mining Maximal Frequent Patterns with MFPAS
Posted on 29.09.2017; Supervised by Prof. Dr. Stefan Decker; Advisor(s): Dr. Michael Cochez, Md. Rezaul Karim, M.Sc.
Recently, a new approach for finding maximal frequent patterns (MFPAS) was presented by the supervisor and advisers of this thesis. Several further optimizations of the algorithm are possible. The student working on this thesis will experiment with different optimization possibilities and analyse their effect experimentally. For a master thesis, further theoretical analysis of the optimizations and the original algorithm are necessary. Related paper: M. R. Karim, M. Cochez, O. D. Beyan, C. F. Ahmed, and S. Decker. Mining maximal frequent patterns in transactional databases and dynamic data streams: a spark-based approach. Information Sciences, 2017a
Master
Process Interaction across Blockchains
Posted on 10.11.2017; Supervised by Prof. Dr. Thomas Rose; Advisor(s): Thomas Osterland
FIT and Bosch offer in collaboration two Master Theses: Combination of different application specific blockchains and registry of services governed by blockchains
Master
Process model-oriented creation of smart contracts
Posted on 31.08.2018; Supervised by Prof. Dr. Thomas Rose; Advisor(s): Thomas Osterland
Often only noticed as a technology that enables the digital currency Bitcoin, blockchain is a novel protocol that allows the distributed and secure storing of information and untempered execution of program code in trust-less environments. Did you ever feel the intense desire to write a thesis about blockchain or do you have a slight hope that blockchain is the one-and-only topic that touches your heart? Use your chance now! We are looking forward to hear from you.
Master
Reservation, Booking and Customer Hotline Dialog Service
Reservation, booking and customer hotline services are based on context based dialog management. The objective of the thesis is the analysis of user interactions for different contexts in reservation, booking and customer hotline situations with a dialog management system and the design and implementation of a semantic model for the user dialog with a dialog management system. As proof of concept a functional prototype should be implemented and evaluated.
Master
Simulating the dynamics of interacting blockchain nodes
Posted on 31.08.2018; Supervised by Prof. Dr. Thomas Rose; Advisor(s): Thomas Osterland
Often only noticed as a technology that enables the digital currency Bitcoin, blockchain is a novel protocol that allows the distributed and secure storing of information and untempered execution of program code in trust-less environments. Did you ever feel the intense desire to write a thesis about blockchain or do you have a slight hope that blockchain is the one-and-only topic that touches your heart? Use your chance now! We are looking forward to hear from you.
Master
Simulation tools for the Assessment of Emergency Management Processes
Posted on 12.09.2018; Supervised by Prof. Dr. Thomas Rose; Advisor(s): Thomas Osterland
Large scale disasters represent a major challenge for any medical service. Typically such disasters, be they founded in terrorism, natural or technical catastrophize, generate a significant number of casualties (MASCAL – Mass Casualty) with severe and unusual injury patterns. Many processes are supported by Standard Operating Procedures as common practice, but any catastrophe requires a change of processes due to the nature of the disaster and thus furnishes a major challenge for hospital operations. As of now, hospitals and medical services are designed for a specific workload that has been agreed among different stakeholders. Hence, processes and their resources are designed in light of best practices for patient care as well as anticipated workload.
Master
Travel Information Dialog Service
Travel information services provide itinerary and context based user travel assistance. The objective of the thesis is the analysis of user interactions for different contexts in intermodal travel situations with a travel information assistance system and the design and implementation of a semantic model for the user dialog with a travel information assistance system. As proof of concept a functional prototype should be implemented and evaluated.
Master
User Digital Assistant Dialog Service
Intelligent user assistant agents and chatbots provide task based interactions and functionality to the user. The objective of the thesis is the user interaction analysis for a given set of tasks, the design of a suitable dialog service based on a semantic knowledge model, and the implementation and evaluation of a functional prototype.

Running Theses


Master
Deep Learning-based Knee Osteoarthritis Diagnosis from Radiographs and Magnetic Resonance Images
In this thesis, the student investigates the use of deep learning techniques (especially computer vision) to perform diagnosis of osteoarthritis. The input to the system are both radiographs (X-RAY) and magnetic resonance images (MRI).
Master
Graph-Structured Query Construction for Natural Language Questions
Supervised by Prof. Dr. Stefan Decker; Advisor(s): Dr. Michael Cochez
Graph-structured queries provide an efficient means to retrieve desired data from large-scale knowledge graphs. However, it is difficult for non-expert users to write such queries, and users prefer expressing their query intention through natural language questions. Recently, an increasing effort is being exerted to construct graph-structured queries for given natural language questions. At the core of the construction is to deduce the structure of the target query and retrieve vertices/edges of the underlying knowledge graph which constitute the query. Existing query construction methods rely on conventional graph-based algorithms and question understanding techniques, which lead to inefficient and degraded performances facing complicated natural language questions over knowledge graphs with large scales. In this thesis, we focus on this problem and propose novel construction models standing on recent knowledge graph embedding techniques. Extensive experiments were conducted on question answering benchmark datasets, and the results demonstrate that our models outperform baselines in terms of effectiveness and efficiency.
Master
Modeling for Street Level Crime Prediction
Supervised by Prof. Dr. Stefan Decker; Advisor(s): Dr. Michael Cochez, Cristina Kadar, Raquel Rosés Brüngger
The aim of this master thesis is to build a predictive model of crime at street level for a Swiss city, including a tool implementation for visualizing the data and results.

Completed Theses


Bachelor
Concept embeddings for Wikipedia across language editions
Felix Ingenerf in 2019; Supervised by Prof. Dr. Markus Strohmaier, Prof. Dr. Stefan Decker; Advisor(s): Dr. Florian Lemmerich, Dr. Michael Cochez
Wikipedia is a free and openly available source of information curated by users. The content available varies between language versions. The question is now whether the content available, and specifically the associations between articles, is dependent or influenced by cultural differences between users (readers and editors) in different parts of the world. In this thesis the student investigates whether these could be found trough graph embeddings which are created on the Wikipedia link graph, the graph formed by interactions with Wikipedia and a graph formed by measuring similarity between pages.
Bachelor
Development of a Mobile User Interface for a Bike Sharing System
- Use case analysis - UI paper prototyping - Mobile user interface design - Reference model design - Mobile application prototype implementation and generalization - Reference model evaluation
Master
Identifying Media-Specific and Time-Dependent Patterns in Community Success Models
Jia Lai in 2019; Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke
Assuming that best practices for organizing work and learning emerge from the visual analytics and comparison of real communities, the goal of this thesis is to analyze media transcription processes from real communities using data mining and machine learning.