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Maryam Mohammadi is a Ph.D. candidate at the Institute of Data Science within the Faculty of Engineering and Science at Maastricht University. Her research is part of the KnowGraph project, where she addresses the lack of standardized metadata in Knowledge Graphs (KGs) by developing guidelines and methods to generate high-quality metadata automatically. Her expertise and research interests include KG construction, SPARQL query analysis, FAIR principles, and Large Language Models (LLMs). Beyond her research, she serves as a Teaching Assistant for courses related to Semantic Web and Knowledge Graph Python. Additionally, she is actively involved as an organizer of the UM Data Science Seminars and as a speaker and tutor for Women in Data Science events. Her contribution to various research publications includes topics such as the (semi-)automatic construction of Knowledge Graph metadata, SPARQL log analysis, and frameworks for interactive ontology enrichment methodologies. Maryam is committed to advancing the field of data science and enhancing the accessibility and usability of knowledge within this domain.
The School of Business and Economics (SBE) encompasses departments like Organization, Strategy, Entrepreneurship, Finance, and Economics.