Knowledge Graph Creation and Management Made Easy with KGraphX

Ahmad Hemid, Abderrahmane Khiat, Megha Jayakumar, Christoph Lange, Christoph Quix, Stefan Decker

Abstract: Tools for creating and managing knowledge graphs are a crucial ingredient of data management in various fields such as healthcare or manufacturing. Knowledge graphs comprise entities, attributes, and relationships, which help machines understand the meaning of data and facilitate data sharing. Although knowledge graphs are a key concept for many applications, their creation remains complex and challenging, especially for novice users. To address this limitation, we have developed KGraphX, an easy-to-use visual editor to make knowledge graph creation for users with limited knowledge of Semantic Web technology more engaging. KGraphX uses visual elements, predictive typing, and augmented information from existing knowledge repositories to create knowledge graphs easily. In a task-based evaluation, we have proven the usability and quality of the created knowledge graphs using KGraphX. Compared to other tools, our tool significantly enhanced knowledge graph creation by 80%, while also improving its clarity by 91%.