Web Application for Managing Laboratory and Computational Experiments with Ontology Support

In the modern world, scientific research is becoming increasingly complex and demands effective tools for documentation, analysis, and data sharing. One such tool is the electronic laboratory notebook (ELN), which enables researchers to structure experimental data, ensure its reproducibility, and enforce standardization. In this work, I propose the development of a web application implementing ELN functionality, with a particular focus on the ability to link experimental data to ontologies (for example, OM2 or ChEBI), thereby unifying measurement units and improving data interoperability, as well as creating a lightweight user interface without excess functions, which should make it easier and faster to work. The developed solution can be used in scientific laboratories, research centers, and educational institutions to enhance the quality of experimental data documentation, but is primarily intended for RTU MIREA. The use of ontologies in scientific research is justified by their ability to provide semantic compatibility of data, which is especially important when analyzing and sharing results between different laboratories and information systems. According to the study Relations in biomedical ontologies, ontologies allow for standardized data representation, making them suitable for automated processing. At the same time, as noted in Knowledge Graphs, the application of graph databases significantly simplifies the management of ontologies and their integration into applied systems, thereby increasing the efficiency of working with scientific data. The work contains 56 pages, 10 figures, 1 table, 44 sources, 3 listings. Keywords: ontologically-controlled data management; electronic laboratory notebook; experiment management; domain ontology.