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

 

FactCheck – Semantic Analysis based on Linguistic Techniques

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

Goal of the project is to use linguistic techniques to implement a suitable, alternative solution for entity recognition based on Google API. Results of the project are to be demonstrated by a running demo application.

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

Contact: Nour Jnoub nour.jnoub@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


 

Semantic blockchain: Use of a rules-engine to extract information from blocks.

Blockchain provides a reliable infrastructure for persisting read-only data. Beside 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 artefacts, artists, buyers. The blockchain system allows reasoning over the stored data.

Technology: Java

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


Semantic blockchain

Blockchain provides a reliable infrastructure for persisting read-only data. Beside 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 fulfil the requirements of this project, your solution can make use of the available platforms and frame works, 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 use one of the current implementation and integrate your private blockchain in a SOA system.

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

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


Learning to Detect Behavior on Transactions stored in a Blockchain

Blockchain technology has attracted increasing attention in recent years and is a promising technology. Beside development of effective applications using this technology, learning and understanding transactions among nodes and users is key to develop more reliable and robust blockchain-based applications. Transactions among users can be modeled as a network. Nevertheless, due to scalability and complexity of these transactions, we require advanced network analysis methods. Network embedding is a state-of-the-art technique to learn low-dimensional representations for nodes in a network. The goal of this project is to receive a network of transactions among blockchain users (e.g., Bitcoin transactions network), use an existing method, such as Node2Vec, DeepWalk, or LINE, in order to learn low-dimensional representation of users’ node in the transaction network, and identify similar or anomalous transaction behavior of users using trained low-dimensional representations. As an optimal learning of users' node representation is influenced by parameters of the learning algorithm, the project will also experiment with different settings of learning parameters.

Technology: Java or Python, Network embedding (Node2Vec, DeepWalk, or LINE)

Contact: Elaheh Momeni, elaheh.momeni-ortner@univie.ac.at


Semantic Clustering of User Comments for Unstructured Data Stored in a Semantic Blockchain

Twitter, Facebook, or other similar social networks provide a huge amount of comments every minute. Clustering such comments play an important role to understand the well-being of people in the community. The goal of the project is to cluster user comments by using linguistic techniques and machine learning approaches to extract features from text and cluster similar comments of users that may have same opinion or same content. A blockchain is to be used for storing the growing list of data records serving the purpose of the FactCheck-system (already available as a prototype system) by building semantic graphs and data linking in the blockchain.

Results of the project are to be demonstrated by a running demo application.

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

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


User review categorization based on Python application

Most of the users nowadays like to buy their stuff online but to trust the sellers they mainly depend on the reviews associated with the products/sellers. The goal of the project is to build an application that assists the users to save their time by recommending the best item based on the reviews of other users. To ensure that for an item different sources of different reviews should be collected and autonomously classified, clustered or fused to get a final result regarding the real user ratings of such an item. This can be done by using linguistic techniques and machine learning approaches to extract features and categorize similar reviews of users that may have same opinion or same content.

Results of the project are to be demonstrated by a running demo application.

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

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


ChecktoBuy: The Buyer’s Assessment System for Recommending Items on the Web

Social commercial portals like Amazon and eBay provide a huge amount of data every minute. Users have different interests and tastes and usually need recommendations with respect to their needs, taste, and requirements.

The goal of the project is to build an application that suggests items to the users based on users profile and their purchases.

Results of the project are to be demonstrated by a running demo application.

Technologies: Python, (Scikit-learn)

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]).

... 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.