Authors: Irena Holubová, Jiaheng Lu, Martin Svoboda
Tags: 2019, conceptual modeling
The variety of data is one of the most challenging issues for research and practice in data management. The so-called multi-model data are naturally organized in different and mutually interlinked data formats and logical models, including structured, semi-structured, and unstructured. In this vision paper, we discuss the so far neglected, but for correct and efficient management of multi-model data critical issues and challenges: conceptual modeling of multi-model data, inference of multi-model schemas, unified and conceptual querying, evolution management, and, last but not least, autonomous multi-model data management.Read the full paper here: https://link-springer-com.proxy2.hec.ca/chapter/10.1007/978-3-030-33223-5_36
