MM-quecat: A Tool for Unified Querying of Multi-Model Data

Abstract

The dawn of multi-model data has brought many challenges to most aspects of data management. In addition, no standards exist focusing on how the models should be combined and man-aged. This paper focuses on the problems related to multi-model querying. We introduce MM-quecat , a tool that enables one to query multi-model data regardless of the underlying multi-model database or polystore. Using category theory, we provide a unified abstract representation of multi-model data, which can be viewed as a graph and, thus, queried using a SPARQL-based query language. Moreover, the support for cross-model redundancy enables the choice of the optimal multi-model query strategy.