Orchestration of Methods of Scientific Data Analysis in the Review Processes

This paper explores the problem of combining methods in the semantic analysis of scientific data and publications during review. At different stages of data processing in the SciLibRu system, various methods are used, a multilevel ontology is constructed, and a knowledge graph is populated, resulting in the formation of a new data structure distinct from the original. Each method individually serves its purpose in such a system, while their combined use leads to the emergence of new properties, which became the subject of this research. An example of an automatic peer review agent with explainable results is provided.