Bachelorarbeit
Developing a Low-Code/No-Code User Interface for Knowledge Graph Exploration
Completion
2025/01
Research Area
Intelligent Information Management
Students
Steve Polifka
Advisers
Description
Knowledge Graphs (KGs) offer a wealth of options for organizing and retrieving information in a structured way. While SPARQL provides a powerful mechanism for querying Knowledge Graphs, its complexity presents an obstacle for non-technical users. Existing approaches towards querying often require manual writing of SPARQL or offer only limited graphical interfaces that provide restricted support for data exploration. Therefore, there is a need for an intuitive low-code/no-code (LCNC) approach that enables non-technical users to interact effectively with Knowledge Graphs.
The objective of this bachelor’s thesis is to develop a user-friendly, low-code/no-code interface that enables users to query Knowledge Graphs without requiring prior knowledge of SPARQL or Semantic Web technologies. First, a requirements analysis must be carried out and the state of the art of existing low-code/no-code query interfaces must be examined. Existing solutions need to be classified and evaluated according to the identified requirements. Based on the findings, a low-code/no-code interface to query Knowledge Graphs has to be conceptualized, implemented and assessed in a suitable evaluation. Additionally, the developed approach has to be demonstrated in a practical case study of a Knowledge Graph containing genealogical data.
