BA01 - Enriched Digital Diary

Visiting new places enthuses users to shoot photos. In addition to the pictures, users can record a voice narrative or even a video on those visited places. Users usually possess several devices, i.e., mobile phones, cameras, and other devices, which can be used to generate different kinds of digital content. Having generated diverse multimedia digital content that can be linked to a place or a specific activity, users require a helping tool that enables them to organize those generated multimedia content in one multimedia document. We will call this multimedia document "Digital Diary". It is expected from the device to perform some analysis tasks on the generated multimedia content to identify some subjects that those content encode. You can consider this analysis task as an added value for our tool. Once those encoded subjects are identified, the device retrieves additional data about the subjects from open linked data provided, e.g., DBpedia, and includes those retrieved data in the Digital Diary.  

• Technology: Android, Xamarin, Java, Kotlin, C#
• Tags: Android, Java, Kotlin, Mobile Computing, Linked Data
• Contact: Belal Abu Naim

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BA02 - Audio Narrated Digital Manual

  With the proliferation of mobile devices and applications that allow the users to take photos and record audio files that describe these photos, users become in need of tools that help them to organize their photos and the related audio files in professionally authored presentations. Linking an image with the most relevant part of an audio file that describes this image remains a non-trivial task for the users. This project aims at finding a solution for the related problem, i.e., an audio narrated digital manual.

• Technology: Android, Xamarin, Java, Kotlin, C#
• Tags: Android, Java, Kotlin, Mobile Computing, Image processing, Audio processing
• Contact: Belal Abu Naim

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BA03 - Game-based Learning (Reserved)

  With the proliferation of personal computers and mobile devices, users have the chance to experience various types of applications, including digital educational games. Educational games have educational purposes. They are designed to help users to learn about specific subjects or develop certain skills. Digital educational games are interactive play that teaches users goals, rules, problem-solving, and interaction. On the one hand, this project aims at studying the concepts of Game-based learning and gamification. And on the other hand, it aims at applying these concepts to a digital education game.  

• Technology: Android, Xamarin, Java, Kotlin, C#
• Tags: Android, Java, Kotlin, C#, Gaming
• Contact: Belal Abu Naim

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BA04 - Implement a public blockchain system

  Some several frameworks and systems implement blockchain, e.g., Bitcoin, Ethereum, Multichain, and others. However, to grasp the technology and understand the main building blocks of blockchain technology, this project aims at implementing a blockchain system. You are expected to define the data model of the blocks, use the hashing algorithms, implement a function to create the Merkle Tree, implement a proof-of-work (PoW) algorithm, mine new blocks, execute transactions, and a simplified peer-to-peer (P2P) protocol.  

• Technology: Java
• Tags: Blockchain
• Contact: Belal Abu Naim

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BA05 - Implement private blockchain system

  Some several frameworks and systems implement blockchain, e.g., Bitcoin, Ethereum, Multichain, and others. However, to grasp the technology and understand the main building blocks of blockchain technology, this project aims at implementing a blockchain system. You are expected to define the data model of the blocks, use the hashing algorithms, implement a function for creating the Merkle Tree, implement a proof-of-authority (PoA) algorithm, mine new blocks, execute transactions, and a simplified peer-to-peer (P2P) protocol.  

• Technology: Java
• Tags: Blockchain
• Contact: Belal Abu Naim

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BA06 - Implement auction system for digital assets based on blockchain technology

  In a real-life scenario, auctions take place in dedicated public halls. An auctioneer offer goods or services to sell them; the bidder who bids the highest value for those goods and services wins. The goal of this project is to implement an auction system making use of one of the available blockchain systems. The system makes sure that the auctioneer owns the offered digital assets and the bidder has enough balance to cover her bid. By making use of smart contracts, the system should ensure that the bid transaction is executed correctly, i.e., the seller receives the values of the sold digital assets, and the buyer receives the ownership of what she bought.  

• Technology: Hyperledger, Sawtooth
• Tags: Blockchain, Smart Contract
• Contact: Belal Abu Naim

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BA07 - Semantic blockchain: Use of a rules 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 are required by blockchain to connect the blocks in a chain, blockchain technology allows storing and retrieving data encoded using custom data models.

This project aims 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 (sellers) can offer digital multimedia resources for buyers, buyers can also re-sell those digital resources using the same marketplace. 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 provide interlinked data on artifacts, artists, buyers. The blockchain system allows reasoning over the stored data.

• Technology: Java
• Tags: Blockchain, Sematic Computing, Graph Data
• Contact: Belal Abu Naim

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BA08 - 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 are required by blockchain to connect the blocks in a chain, blockchain technology allows storing and retrieving data encoded using custom data models.

This project aims 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
• Tags: Blockchain, Graph Data, Ethereum
• Contact: Belal Abu Naim

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BA09 - Blockchain-based Investment Platform for Taxpayers (Reserved)

Taxpayers cannot comprehend how their governments distribute the paid income tax in the annual budget. The benefits of several NGOs, governmental or non-governmental projects, will be leveraged if taxpayers, to some extent, can influence the funding process. Such a funding process can be achieved by allowing taxpayers to directly allocate a particular portion of the taxes to specific projects. For example, during natural disasters, taxpayers can directly opt for funding humanitarian aid projects.

Blockchain technology can offer a transparent and flexible infrastructure for such cases. In this project, students are expected to research how blockchain technology can be realistically applied by creating the basis of a small but functional application that uses blockchain to handle the funding process.

• Technology: Blockchain
• Tags: Blockchain, Hyberledger
• Contact: Belal Abu Naim

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PK01 - Effortless Driver's Logbook: A React Native/Flutter App

The catchphrase "learn once, write anywhere" is used in React Native's advertising. Is it as simple as it sounds? To test this claim, develop a React Native or Flutter application that acts as a logbook. This logbook will allow the user to make entries in different modes, including a) manual entry of mileage, b) photo-based image recognition, and c) a fully automatic mode (experimental). In addition, the application should include practical enhancements, such as the start and destination point of each entry and other valuable features. The primary goal of this study is to develop a prototype with exceptional usability. The tedious process of filling out the logbook should be significantly simplified by advanced technology, allowing drivers to record their trips with minimal effort as the program does most of the work.

• Technologies: React Native or Flutter, Azure, Firebase
• Tags: Information System, React, Flutter, Azure, Image Recognition
• Contact: Peter Kalchgruber

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PK02 - Sound Experience Kit For Children

Children need music. "Neurobiological and anthropological reasons call for high-priority attention to the human need for music as a rhythmically organized sound experience and an expressive tool for communication." [1] This project aims to design and develop a sound toy that allows children to experience music tailored to the needs of a specific age group.

This project goes beyond software development and requires the hardware's assembly, configuration, and programming. The hardware consists of an Arduino or Raspberry Pi, sensors (e.g., RFID, buttons, lights, accelerometers, and others), displays, and actuators if necessary. You must integrate all input and output devices into a secure, user-friendly design. Adapt the difficulty level and usability of the prototype to the age group for which it is intended.

[1] Gruhn W. Children need music. International Journal of Music Education. 2005;23(2):99-101. doi:10.1177/0255761405052400

• Technologies: Arduino/Raspberry Pi, lots of handicraft, sound production
• Tags: Handcraft, Sound, Multimedia, Arduino, Raspberry PI
• Contact: Peter Kalchgruber

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PK03 - Streamlining the Exam Process: Developing a Web App for Efficient Exam Creation and Evaluation

Paper-based multiple-choice exams are commonly used in various evaluation contexts (e.g., school, evaluation of Master theses). When the user pool is limited, generating a survey using basic software, such as Microsoft Word, for the printout and then, after completing the tests, transferring the collected data into a calculation program like Excel or R for evaluation purposes is straightforward. However, in cases where the user pool is more extensive, implementing a survey manager can reduce the burden of manually creating a survey and entering data and might facilitate subsequent analysis.

The primary objective of this study is to develop a web app and a background web service that facilitates the efficient creation and evaluation of surveys. The proposed solution aims to reduce the limitations associated with traditional paper-based survey methods by providing a streamlined process from survey design over data acquisition to data evaluation. One critical distinction between this solution and conventional multiple-choice tests is the placement of answer boxes adjacent to their respective answer options. Unlike traditional test formats, which often require separate question and answer sheets, surveys should be designed to allow respondents to check off their answers on a single sheet right next to the question.

• Technologies: Web Application, React, Firebase
• Tags: Information System, Progressive Web App, React, Webservice, Patten Recognition
• Contact: Peter Kalchgruber

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PK04 - Location Intelligence: An Information System to Intelligently Display the Location of Friends Using Ambient Devices

The widespread use of mobile devices has led to a growing trend of sharing personal location information. Upon opening a mobile device's settings, one may see a notification indicating the number of applications that have access to their location, making it no longer confidential. Individuals can still obtain information about their friends' locations if they share it through a specific location-based app. For example, Google provides notifications when a person reaches a particular location, demonstrating the increasing convenience of accessing and sharing location information using modern technology.

This project aims to develop an information system (cf. Weasley Clock) that seamlessly integrates information about friends' or family's locations into an ambient device. Depending on the course chosen (SPBA, P1, or P2), this project may utilize machine learning prediction models to achieve precise predictions as individuals move between specified locations.

• Technologies: Raspberry Pi, Python, Database Management System, Web API, Location-based services, Push notifications API
• Tags: Information System, Python, Raspberry Pi, Ambient Device, Maschine Learning, Handcraft
• Contact: Peter Kalchgruber

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PK05 - Intelligent Sports Analytics: A Progressive Web App for Extracting and Evaluating Team Results

Create an information system for the analysis of sports team results. The platform is implemented as a progressive web app (PWA) and should examine different ranking algorithms for team/athlete classification.

This topic aims to create a generic PWA that allows the extraction of sports results from other websites, either by parsing the websites or directly inputting the HTML output into a form. The input data should be analyzed using rules or supported by machine learning concepts. The PWA should offer various analysis options, including the choice of different ranking algorithms (e.g., ELO ranking), trends, predictions, and crowd-based data entries.

[1] Hochbaum, Dorit S. "Ranking sports teams and the inverse equal paths problem." International Workshop on Internet and Network Economics. Springer, Berlin, Heidelberg, 2006.
[2] Sorensen, Soren P. "An overview of some methods for ranking sports teams." University of Tennessee. Knoxville (2000). [3] https://www.sofascore.com

• Technologies: Web Application, React, Firebase
• Tags: Information System, Progressive Web App, React
• Contact: Peter Kalchgruber

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PK06 - Automated Sports Tracker Utilizing Mobile and Wearable Technology

This project aims to create a progressive web app that tracks athletic activities using location data from mobile devices and sports watches (such as Garmin). The system is designed to detect and identify sporting events automatically and will present notifications to the user for confirmation. The app will continually improve its accuracy based on past experiences by leveraging machine learning concepts. The recorded activities will be presented as user-friendly as possible, allowing the user to view and edit individual events as needed.

Depending on the course chosen (SPBA, P1 or P2), this project may include various evaluation options.

• Technologies: Web Application, React, Firebase
• Tags: Information System, Progressive Web App, React
• Contact: Peter Kalchgruber

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PK07 - Improving Transparency in the Grading Process: Developing a Web Application for Efficient and User-friendly Grade Assessment

If you reflect on your experiences as a student in school, you may recall that the process of grade assessment was not always transparent and sometimes seemed unfair. This topic proposes the development of a web app that enables teachers to efficiently and quickly grade students with minimal effort during their lectures using a simple and user-friendly interface on their mobiles. Additionally, first, a background system should be developed to manage the data. Second, a separate overview page should be designed to give students independent access to their current grading status.

The proposed system may feature basic fields for each student, such as schoolwork, homework, and collaboration. Alternatively, more advanced grading concepts, such as an XP-based grading system, may be developed. Data security and protection measures are to be considered at every time. Overall, the proposed study aims to address the lack of transparency in the grading process by providing a comprehensive and efficient grading system. The developed system is expected to be user-friendly, meet the requirements, and improve the grading process for both teachers and students.

[1] https://blog.haschek.at/xp-based-grading-system/

• Technologies: Web Application, React, Firebase
• Tags: Information System, Progressive Web App, React
• Contact: Peter Kalchgruber

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PK08 - Developing a Web App for the Visually Impaired: Improving Access to Sports Results

Numerous assistive technologies (e.g., ORA cam, screenreader, ...) for blind and visually impaired people have difficulty correctly interpreting and communicating sports results.

This study aims to develop a web application for this target group that can effectively capture the layout of tables at sporting events and related materials. The application must develop a comprehensive approach adaptable to different websites and allow for sports results consumption. It must also have an intuitive user interface accessible to the visually impaired and facilitates the reading aloud of results to the user.

• Technologies: Web-App, Web-Service
• Tags: Information System, Databases, Web-App, Data Extraction
• Contact: Peter Kalchgruber

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PK09 - Leveraging Knowledge Graphs and Linked Data to Enhance User-generated Content

Currently, most users receive assistance in spell-checking when drafting blog posts or social media updates. Still, they do not have access to additional background information or access to actual fact-checking technologies about the topic they are covering. This project proposes a solution that leverages knowledge graphs and publicly available linked data sources to provide users with relevant background data when writing prose text. The project aims to develop a browser extension and web service that supports users with factual information about their texts.

Initially, the written text will be analyzed and structured into facts. Subsequently, information about the entities referenced in the text will be derived and compared with the data in the text, with suggestions provided to the user for potential inclusion.

The proposed system is expected to enable users to create more accurate and informed content by offering them easy access to pertinent factual information.

Heese, R., Luczak-Rösch, M., Paschke, A., Oldakowski, R., & Streibel, O. (2010, February). One Click Annotation. In SFSW.

• Technologies: FactCheck, Javascript
• Tags: FactCheck, Browser-Extension, JavaScript
• Contact: Peter Kalchgruber

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PK10 - Entity Resolution for Improved Web Data Comparison Based on Semi-structured Data

The FactCheck framework is designed to address the issue of conflicting data on the Web by providing a systematic approach to detect and resolve such discrepancies. It encompasses the entire fact comparison process, including data acquisition, comparison, presentation of results, and advanced analysis features. As a pioneering research initiative of our research group, FactCheck presents several challenging aspects and opportunities in its development and implementation.

In order to compare facts about an entity, such as a person, that are published on different websites, the system must first understand that these two representations of the entity are indeed referring to the same person. This can be challenging as data published on the Web often lack a uniform primary key.

This project aims to find a solution for identifying and linking FactSets from different datasets with entities with varying characteristics. The effectiveness of this approach will be evaluated using a range of data sets.

• Technologies: Entity Recognition, Python
• Tags: FactCheck, Python, Entity Resolution, String Similarity, Nearest-neighbor methods, Data Analysis, Web service
• Contact: Peter Kalchgruber

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PK11 - Developing a Webservice for Enhancing Data Understanding through Semantic Annotation

FactCheck is a framework for detecting and resolving conflicting data on the Web. It establishes an entire fact comparison process that consists of data acquisition, data comparison, the presentation of comparison results, and comprehensive analysis functions. FactCheck is a leading research topic of our research group and bears challenges in many aspects.

A fact comparison can only be carried out if at least two data providers (e.g., websites) have information about the same subject. The more data providers supply information about the subject; the more detailed the comparison result can be. However, a lack of understanding of the semantic structure makes the comparison process difficult. Thus understanding the semantics behind the data is essential to use the correct data for a reasonable comparison. For example, if website A lists inhabitants: 1.000.000 of a city and website B lists population: 1.000.211 of the same city, we must understand that we can consider these two values in the comparison process as they talk most likely about the same property.

Techniques like JSON-LD and schema.org help website providers to allow other services (like search engines or FactCheck plugins) to understand their contents. However, many websites do not use these techniques and therefore impede the use of their data in these services. This topic aims to develop a web service that allows services that rely on structured data to adequately understand unstructured or insufficiently annotated data.

• Technologies: FactCheck, Python
• Tags: FactCheck, Web, Semantic Web, Ontology, JSON-LD, schema.org
• Contact: Peter Kalchgruber

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PK12 - Developing an Adaptive Precision Metric Manager for Fact Comparison

FactCheck is a framework for detecting and resolving conflicting data on the Web. It establishes an entire fact comparison process that consists of data acquisition, data comparison, the presentation of comparison results, and comprehensive analysis functions. FactCheck is a leading research topic of our research group and bears challenges in many aspects.

When comparing FactSets from different websites, it is necessary to specify which precision metric to apply to compare each fact pair. Different types of facts require different precision metrics; for example, the Bitcoin price of a product needs to be accurately compared to different FactSets of the same entity, while the number of inhabitants in a country can be roughly compared between different websites.

In FactCheck, the precision metric manager is responsible for selecting the appropriate metric for comparing each fact pair, resulting in either a "conflicting" or "nonconflicting" finding. The manager communicates the comparison result and the applied precision metric to the user or the requesting party. The role of the precision metrics manager is to select the appropriate metrics for different application scenarios, recognizing that different precision metrics may be required. This project aims to develop a precision metrics manager using a self-learning and self-adaptive system based on its use and user feedback to meet these requirements.

• Technologies: FactCheck, Python, HTML, Javascript
• Tags: FactCheck, Precisionmetric, Usability, Feedback
• Contact: Peter Kalchgruber

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PK13 - FactCheck: Building a Trust System for facts

The Internet allows individuals (including you) to create content on any topic, which can inevitably lead to issues of concern about the authenticity, credibility, truth, and trustworthiness of the information. Conversely, individuals who utilize the Internet may face challenges in determining the accuracy and truthfulness of online content. To address this issue, establish a trust system for the FactCheck framework that extends existing statistics on the accuracy, correctness, and missing data of fact sets from the FactCheck Framework.

The proposed trust system will aim to enhance users' ability to assess the accuracy and reliability of online content by incorporating trustworthiness measures.

• Technologies: FactCheck, Databases, Python
• Tags: FactCheck, Python, Webservice
• Contact: Peter Kalchgruber

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PK14 - Expanding FactCheck: Acquiring and Integrating New Data Sources

The FactCheck framework is designed to address the issue of conflicting data on the Web by providing a systematic approach to detect and resolve such discrepancies. It encompasses the entire fact comparison process, including data acquisition, comparison, presentation of results, and advanced analysis features. As a pioneering research initiative of our research group, FactCheck presents several challenging aspects as well as opportunities in its development and implementation.

The fact comparison process requires data from at least two providers with information on the same topic. The more data available from providers, the more detailed comparisons are possible. However, obtaining data from multiple providers delays the process. Therefore, data is stored in an extensive database for quick access during comparison tasks. The current FactBase database stores over one million entities, each with ten facts on average. This project aims to expand the FactBase by collecting new facts from previously unexplored data sources by analyzing facts expressed by different concepts on specified websites and integrating them into the FactBase.

• Technologies: FactCheck, Databases, Python
• Tags: FactCheck, Data Acquisition, Data Schema
• Contact: Peter Kalchgruber

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PK15 - Investigating Reliable and Efficient Database Solutions for FactCheck

The FactCheck framework is designed to address the issue of conflicting data on the Web by providing a systematic approach to detect and resolve such discrepancies. It encompasses the entire fact comparison process, including data acquisition, comparison, presentation of results, and advanced analysis features. As a pioneering research initiative of our research group, FactCheck presents several challenging aspects as well as opportunities in its development and implementation.

To perform a fact comparison, at least two data providers must have information about the same subject. However, retrieving data from multiple providers on the fly can result in a delayed and slow comparison. Therefore, storing data in an extensive database can ensure quick access to data for all incoming comparison requests. However, this data becomes outdated over time and needs to be updated regularly depending on the update interval. In addition, the framework requires fast and customized database solutions for efficient data storage and access to support real-time comparisons and the generation of statistics.

This project aims to compare different database solutions, including cloud-based solutions (e.g., Azure CosmosDB), and evaluate their suitability as reliable and efficient data storage for ongoing FactCheck projects. The evaluation will also include the current Apache CouchDB (NoSQL) database. The project will develop strategies for the most efficient access to data, considering the use cases triggered by FactCheck.

• Technologies: FactCheck, Databases, Python
• Tags: FactCheck, Databases, Python, CouchDB, Azure
• Contact: Peter Kalchgruber

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WK01 - Jupyter Notebooks for Dedicated Interactive Content of Courses

Jupyter Notebooks allow for the creation and sharing of documents that contain live code, equations, visualizations, and narrative text. Jupyter Notebooks are a well-established and well-recog ,,nized tool in academia and education in general as well as in specific fields of research where it is important to provide for reproducibility of scientific results. Goal of the project is to develop dedicated Jupyter Notebooks for specific course content relevant in the context of our courses (MOD, MCM, MST, MRE, MRS). The approach can be based on the existing framework that we already use for Juypter Notebooks in some of our courses but may also further improve or suggest new solutions for the framework as such. The selection of the programming language to be used needs to meet the requirements of the course content, most probably Python, but - in fact - is very flexible as Jupyter Notebooks work with a variety of languages.
Mandatory requirement: Student must have understood the course content / material very well and should have passed the course already.

• Technology: Juypter Notebook, Python, Jupyter Notebook Hub of the CS-faculty, Markdown, VS Code (or similar IDE)
• Tags: Juypter Notebook, Python
• Contact: Wolfgang Klas

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WK02 - 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.  

[1] Papadakis, George, et al. "How to reduce the search space of Entity Resolution: with Blocking or Nearest Neighbor search?." arXiv preprint arXiv:2202.12521 (2022).

• Technology: Web services, Semantic Web technologies, LOD, Microformat, JSON-LD, Docker
• Provided to the students: existing implementation of framework, test dataset
• Tags: FactCheck, Python, Databases, Azure Cloud Services, Docker
• Contact: Wolfgang Klas

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WK03 - 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, e.g., the decision taking principles of a management board of an association or a company, board of managers, board of trustees or directors. The application scenario 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.
• Technology: Optionally, Azure Blockchain Services, or Ethereum, Web technologies, Docker
• Tags: Blockchain, Python, Web technologies, Docker
• Contact: Wolfgang Klas

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WK04 - 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; examples are the decision taking principles of a management board of an association or a company, board of managers, board of trustees or directors. 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 >= 2.1, on Linux of Windows, or on Cloud Infrastrcture. Web-Technologies for implementing Web-based application, Docker.
• Provided to the students: Optionally, IT-Infrastructure of the BlockchainScie-Lab, virtual machine
• Tags: Blockchain, Web technologies, Docker
• Contact: Wolfgang Klas

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WK05 - "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, the lectures of courses, and administration (like SPL). 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 >= 2.1, on Linux of Windows, or on Cloud Infrastrcture. Web-Technologies for implementing Web-based application, Docker.
• Provided to the students: Optionally, IT-Infrastructure of the BlockchainScie-Lab, virtual machine
• Tags: Blockchain, Web technologies, Docker
• Contact: Wolfgang Klas

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WK06 - "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, the lectures of courses, and administration (like SPL). 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, Docker.
• Provided to the students: Optionally, Azure Blockchain Services. Optionally, IT-Infrastructure of the BlockchainScie-Lab, virtual machine
• Tags: Blockchain, Web technologies, Docker
• Contact: Wolfgang Klas

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WK07 - 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 the 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, Docker.
• Provided to the students: Optionally, Azure Blockchain Services. Optionally, IT-Infrastructure of the BlockchainScie-Lab, virtual machine
• Tags: Blockchain, Web technologies, Docker
• Contact: Wolfgang Klas

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WK08 - A Blockchain-based COVID-19 Vaccination Monitoring System

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 prototypical system for the monitoring and documentation of any COVID-19 vaccination activities (assignment of vaccination doses, vaccinations given, repeated vaccination, etc. that allows for a full and transparent documentation and control of any COVID-19 vaccination. The system should support the autonomous operation of various stakeholders like federal agencies, local authorities, regional or local vaccination sites, pharmaceutical stakeholders, border control, access control bodies, and so on, but should allow for the maintenance of a global state of affairs with respect to COVID-19 vaccination. The project will first have to design an approach and a framework, and then 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, Docker.
• Provided to the students: Optionally, Azure Blockchain Services. Optionally, IT-Infrastructure of the BlockchainScie-Lab, virtual machine
• Tags: COVID-19, Blockchain, Web technologies, Docker
• Contact: Wolfgang Klas

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