Open Topics for Bachelor Theses

If you are looking for a Bachelor Thesis topic please register for the course offered for the Bachelor Thesis and contact us for the thesis topics currently available in the semester. In general, all the topics listed below are also available for Bachelor Thesis projects. Of course, the topic will be limited in effort and scientific claim to meet the requirements of a Bachelor Thesis. If you are interested do not hesitate to contact us; send e-mail to Prof. Wolfgang Klas or contact a member of the research group.

Before contacting us, PLEASE read the Recommendations & Guidelines for Bachelor Thesis available here


Open Topics for Master Theses and Practical Courses (PR, P1, P2)

In the following some of the open topics in the area of Multimedia Information Systems are listed. If you are interested and if you have an idea on a project do not hesitate to contact us; send e-mail to Prof. Wolfgang Klas or contact a member of the research group.

In general, topics in the area of Multimedia Information Systems technologies include:

  • analyze, manage, store, create and compose, semantically enrich & play back multimedia content;
  • semantically smart multimedia systems;
  • security.

Possible application domains include:

  • Content Authoring and Management Systems
  • Web Content Management
  • Robotic and IoT Applications
  • Blockchain Technologies and Applications
  • Interactive Display Systems

Section (A) below lists topics that can be chosen in the course of a PR Praktikum, but are in principles also available for a master thesis (usually expanded and more advanced).

Section (B) below lists topics that are intended to be chosen for a master thesis.


(A) Topics for Practical Courses (PR, P1, P2) in the Master Degree Programs

 

Segway Loomo Robotics Application

Goal of this project is to enable the Segway Loomo robot to process requests from people and provide appropriate answers. Similar to Siri, Cortana or Alexa, natural language should primarily be used. Loomo will provide answers tailored to the field of application, such as FAQs, directions and course information. In addition, Loomo may provide personalized information to certain individuals (e.g. university staff). This could be by name greetings, or updates on appointments, etc.

Optionally, the robot could be enhanced with the ability to obtain feedback on its own capabilities in order to continuously expand and improve its offerings.

Optionally, the robot could not only be used statically, but also learn to orient, move, and navigate in space (indoor or outdoor).

Technologies: The standard equipment to be used in this project is a Segway Loomo Robot (http://loomo.com/en/) offering cutting-edge depth sensing and motion tracking camera sensors, customized Android OS and SDK, drag and drop programming interface, making it one of the smartest most capable personal vehicles.

Contact: Wolfgang Klas wolfgang.klas@univie.ac.at, Belal Abu Naim belal.abunaim@univie.ac.at


FactCheck - Entity Recognition Based on Dedicated Cognitive Computing Services

FactCheck is a framework for the detection and resolution of conflicting structured data on the Web. The FactCheck framework is the result of ongoing research at our research group. One of the central building blocks is the identification of objects represented by means of structured data (encoded as Microformat or JSON-LD data) on different web pages, but constituing the same conceptual real world entity or artefact. This problem is also known as entity recognition.

Goal of the project is to design and implement suitable, alternative solutions for entity recognition based on at least two cognitive computing services available as cloud services from e.g., IBM, Microsoft, Google, supporting text data, figure/image data, video and audio data. Results of the project are to be demonstrated by a running demo application.

Technologies: web services, semantic web technologies, LOD, Microformat, JSON-LD, dedicated cloud computing services

Contact: Wolfgang Klas wolfgang.klas@univie.ac.at


FactCheck - Precision Metrics

FactCheck is a framework for the detection and resolution of conflicting structured data on the Web. The FactCheck framework is the result of ongoing research at our research group. One of the central building blocks is the context-dependent comparison of structured data of various representations of one and the same real world object or artefact. The comparison is guided by so called precision metrics which is a flexible and sophisticated technique for logically comparing structured data values. Precision metrics consist of logical predicates used to evaluate the comparison of structured data. Goal of the project is to design and implement an appropriate model for the representation of precision metrics, the construction of such precision metrics as well as the application of the metrics for evaluating the comparison of data values. Various precision metrics should be defined and compared using a test dataset of 900.000 entities. Results of the project are to be demonstrated by a running demo application.

Technologies: web services, semantic web technologies, LOD, Microformat, JSON-LD

Provided to the students: existing implementation of framework, test dataset

Contact: Wolfgang Klas wolfgang.klas@univie.ac.at


Demo of Blockchain Application Using Proof-of-Authority (Ethereum)

The CS Faculty operates the recently founded BlockchainSci-Lab. For students the lab offers an environment to get familiar and work with state of the art systems and platforms to learn about blockchain technology and to design and implement blockchain applications by participating in dedicated projects.

The goal of this project is the implementation of a demo application which illustrates the concept of proof-of-authority (in place of the very often used "proof-of-work" as, e.g., used in the Bitcoin Blockchain). For example, a possible application could be the implementation of the four-eyes principle (Vier-Augen-Prinzip) for officially approving documents by making use of two signers acting as proof-of-authorities. There are many other possible application scenarios feasible. It should be well-chosen in order to illustrate the general principle of proof-of-authority. It may be based on a generic, configurable implementation to show different variations of the proof-of-authority concept, e.g., 1 signer, 2 signers, N signers.
The demo application has to be realized such that a short demonstration movie can be recorded, that will be published on the Lab's website.

Provided to the students: Optionally, Blockchain-IT infrastructure with initial configuration of proof-of-authority based on Ethereum Project.

Contact: Wolfgang Klas   wolfgang.klas@univie.ac.at  


Demo of Blockchain Application Using Permissioned Blockchain

The CS Faculty operates the recently founded BlockchainSci-Lab. For students the lab offers an environment to get familiar and work with state of the art systems and platforms to learn about blockchain technology and to design and implement blockchain applications by participating in dedicated projects.

The goal of this project is the implementation of a demo application which illustrates the concept of private permissioned blockchains. The possible demo application can be discussed in more detail. It should be well-chosen in order to illustrate the general principle. 
The demo application has to be realized such that a short demonstration movie can be recorded, that will be published on the Lab's website.

Technology: MultiChain Blockchain Infrastructure, Version 1.0.1, on Linux of Windows, or on Cloud Infrastrcture. Web-Technologies for implementing Web-based application

Contact: Wolfgang Klas   wolfgang.klas@univie.ac.at


"Studienleistungs & Prüfungspass" Based on MultiChain Blockchain Technology

The CS Faculty operates the recently founded BlockchainSci-Lab. For students the lab offers an environment to get familiar and work with state of the art systems and platforms to learn about blockchain technology and to design and implement blockchain applications by participating in dedicated projects.

The goal of this project is to implement an application for a digital "Studienleistungs & Prüfungspass" (study performance & examination pass) based on blockchain technology. The pass will record the individual, required study achievments (like milestones, tests, etc.) during a course, the final grading of a course, and the collection of gradings of courses during the entire study (like a "Sammelzeugnis" currently used by the university). There are various stakeholders in this scenario: the students and the lectures of courses. The implementation has to be realized based on MultiChain Blockchain technology, which provides managed permissions and allows for millions of assets on a blockchain, structured asset data, multiple key-value, time series or identity databases on a blockchain.  MultiChain Blockchain technology is one of the most promising implementations for private, managed blockchain systems.

Technology: MultiChain Blockchain Infrastructure, Version 1.0.1, on Linux of Windows, or on Cloud Infrastrcture. Web-Technologies for implementing Web-based application

Provided to the students: Optionally, IT-Infrastructure of the BlockchainScie-Lab, virtual machine

Contact: Wolfgang Klas   wolfgang.klas@univie.ac.at

 


"Studienleistungs & Prüfungspass" Based on Ethereum Blockchain Technology

The CS Faculty operates the recently founded BlockchainSci-Lab. For students the lab offers an environment to get familiar and work with state of the art systems and platforms to learn about blockchain technology and to design and implement blockchain applications by participating in dedicated projects.

The goal of this project is - starting out from a given demo implementation - to implement an application for a digital "Studienleistungs & Prüfungspass" (study performance & examination pass) based on blockchain technology. The pass will record the individual, required study achievments (like milestones, tests, etc.) during a course, the final grading of a course, and the collection of gradings of courses during the entire study (like a "Sammelzeugnis" currently used by the university). There are various stakeholders in this scenario: the students and the lectures of courses. The implementation has to be realized based on Ethereum Blockchain technology, which provides the concept of Smart Contracts. Ethereum Smart Contract  technology is one of the most promising implementations for smart behaviour of blockchain systems. The focus will be on the proper design and implementation of smart contracts to capture most of the functionality of the application.

Technology: Ethereum Blockchain Infrastructure, on Linux of Windows, or on Cloud Infrastructure, Web-Technologies for implementing Web-based application.

Provided to the students: Optionally, IT-Infrastructure of the BlockchainScie-Lab, virtual machine

Contact: Wolfgang Klas   wolfgang.klas@univie.ac.at 


Securing Images and Videos by Applying Blockchain Technology

The CS Faculty operates the recently founded BlockchainSci-Lab. For students the lab offers an environment to get familiar and work with state of the art systems and platforms to learn about blockchain technology and to design and implement blockchain applications by participating in dedicated projects.

The goal of this project is the design and implementation of a framework based on blockchain technology that allows for the detection of manipulations in images and videos. Images or videos can be manipulated, e.g., persons (or other objects) can be added to or removed from an image, video frames (or sequences of video frames) can be added or removed from a video. Such a manipulation should be detected based on the storage of specific image encoding parts in a blockchain which allows to re-check the validity of an image encoding. E.g., essential macroblocks or portions of some macroblocks of a JPEG-encoded image could be stored in a blockchain such that it can be checked whether an image still consists of those macroblocks or includes manipulated macroblocks. The project will first have to select and specify the kind of manipulations to be considered in the scope of the project, then design an approach and a framework and implement a prototype and a demo application illustrating the approach, based on a specific blockchain platform that suits best the needs of the application.    

Technology: Blockchain Infrastructure (like Ethereum) on Linux, Windows, or on Cloud Infrastructure, JPEG, MPEG, Web-Technologies for implementing Web-based demo application.

Provided to the students: Optionally, IT-Infrastructure of the BlockchainScie-Lab, virtual machine

Contact: Wolfgang Klas   wolfgang.klas@univie.ac.at


 

Semantic Blockchain: Use of a Rule-Engine to Extract Information from Blocks

Blockchain provides a reliable infrastructure for persisting read-only data. Besides the basic data model, i.e., block headers, which is required by blockchain to connect the blocks in a chain, blockchain technology allows storing and retrieving data encoded by means of custom data models. 

The goal of this project is to develop a generic solution for storing the data in graphs and make use of the graph theory to connect the pieces of the graphs which are stored in the blocks and extract new hidden information using the available reasoning methods.

Use-case scenario: Given a marketplace where artists can offer digital multimedia resources for buyers. In return, buyers can re-sell those digital resources. Both artists and buyers can - as owners only - edit the metadata of the digital resources. The blockchain system should track the changes made to the metadata, i.e., who, when and what. Editing some metadata attributes such as the creator and creation date should be prohibited by the system. The system shall prohibit changing the original digital resource as well. In a later step, the system should be able to provide interlinked data on artifacts, artists, buyers. The blockchain system allows reasoning over the stored data.

Technology: Java

Contact: Belal Abu Naim belal.abunaim@univie.ac.at


Semantic Blockchain - Adding Graph-Data Service-Layer to Ethereum

Blockchain provides a reliable infrastructure for persisting read-only data. Besides the basic data model, i.e., block headers, which is required by blockchain to connect the blocks in a chain, blockchain technology allows storing and retrieving data encoded by means of custom data models. 

The goal of this project is to find a solution for storing the data in graphs and make use of the graph theory to connect the pieces of the graphs which are stored in the blocks and extract new hidden information using the available reasoning methods. To be able to fulfill the requirements of this project, your solution can make use of the available platforms and frameworks, i.e., ethereum, ethereumJ, GO language, Apache Jena, etc. In other words, it is not expected from you to implement a new blockchain system, but to extend the functionalities of one of the open source blockchain systems by adding a new graph-data service-layer.

Technology: Java, Etheruem, EthereumJ, Solidity, GO language.

Contact: Belal Abu Naim belal.abunaim@univie.ac.at


Graph Data Segmentation

Systems adopting graph data use one of the several common graph models, including property graphs, hypergraph, and triples, i.e., Resource Description Framework (RDF). RDF is endorsed by the W3C and therefore benefits from being widely understood and well documented. Being supported by W3C in view of the Semantic Web movement, the design of RDF enables for using namespaces. Namespaces are useful for organizing objects and uses prefixes to avoid naming conflicts. This project aims at providing a solution for segmenting data graphs. One possible solution for the segmentation can be realized by separating between raw datasets and the inferred datasets. An additional dimension for segmenting the graph can be based on layering the graph by metadata schemes using the namespaces of these metadata schemes. This approach enables for providing sub-graphs that address a specific metadata scheme such as MPEG-7, FOAF, DC-Terms, etc. Segmenting RDF-graphs enhances searching the graph and allows us to handle and efficiently understand complex graphs. 

Technology: Java, RDF, Graph Databases.

Contact: Belal Abu Naim belal.abunaim@univie.ac.at


Generating a Factcheck Knowledge Base for Fact Recognition and Fact Identification on the Web

Huge amount of data does exist on the Web but we do not have a good idea about how correct or how faulty such data are. The aim of this project is to extract user reviews from different sources like IMDB, pre-process their reviews using NLTK, extract their ratings and the time stamp of their review. After that you should apply machine learning for classification and you should write these data in a given format which is provided from our research group.

Technologies: Python, Natural Language Toolkit (NLTK), Scikit-learn

Contact: Nour Jnoub nour.jnoub@univie.ac.at 


Fake Reviews Detection System for Fact Checking

A lot of people nowadays depend on product reviews before buying a specific product online, but the reviewers are not always trusted, and online reviews more often contain fake or false reviews and ratings.  

The aim of the project is to detect fakes reviews or falsely rated items. For example a good product might be rated bad or a very bad product might be rated positively, ratings might come from un-confidential or dishonest people. Thus, the goal is to detect such items or such persons. The test might be done using Amazon product reviews, IMDb reviews, or other similar platforms.

Technologies: Python, Tensorflow, Natural Language Toolkit (NLTK), Scikit-learn and Google API.

Contact: Nour Jnoub nour.jnoub@univie.ac.at


 

 

... additional, new topics will become available on demand, usually before the next semester.


(B) Topics of Master Theses

Please check the listing below for possible topics for a master thesis. In principle, you may also chose from the topics listed in Section (A) above. Those topics are available for a master thesis as well, but usually in a more expanded or advanced form.

  • Blockchain-based collection of semantically-correlated statements available on the Web, given by individual persons over time.
  • Blockchain-based distributed media content management (e.g., using Blockchain to track images, video).
  • Blockchain technology based on a microservice cloud architecture (e.g., following the approach of Edge/Fog Computing).
  • Blockchain technology for providing trust in a FactCheck platform (FactCheck is a framework for the detection and resolution of conflicting structured data on the Web).
  • Benchmarking consensus in permissioned blockchains (e.g., investigating the approaches taken in Ethereum (Clique, Aura), Quorum (Raft, Istanbul), Hyperledger Fabric, Tendermint) ([iteratec]).
  • Scalability solutions for permissionless blockchains in order to adress the potential cause of severe performance issues on the network for very large applications ([iteratec]).
  • Evaluation of platforms of specific Distributed Ledger Technology / Blockchain Technologies that vary in terms of consensus-model, validation-process, privacy-settings, e.g., technology platforms Cardano, Hashgraph, IOTA, Monero, EOS, NEO ([iteratec]).
  • Blockchain-based image manipulation detection by using JPEG-specific image encoding information like macroblocks.
  • Blockchain-based video manipulation detection by using MPEG-specific video encoding information like macroblocks and motion encoding.
  • Enhancing blockchain technology by fast indexing and search/querying functionality using/integrating elastic-search or graph database technology.
  • Enhancing blockchain technology by integrating a data model layer that offers a semantically enriched data model (e.g., XML-based, RDF-based, UML-based) to a blockchain application layer.

... additional, new topics will become available in near future. In the case of Master Theses topics you may also contact Prof. Klas, Prof. Quirchmayr, or a researcher of the MIS group to find out more about possible topics.