TY - CHAP A1 - Holubová, Irena A1 - Scherzinger, Stefanie ED - Groppe, Sven ED - Gruenwald, Le T1 - Unlocking the potential of nextGen multi-model databases for semantic big data projects T2 - Proceedings of the International Workshop on Semantic Big Data - (SBD '19) 05.07.2019 - 05.07.2019, Amsterdam, Netherlands N2 - A new vision in semantic big data processing is to create enterprise data hubs, with a 360° view on all data that matters to a corporation. As we discuss in this paper, a new generation of multi-model database systems seems a promising architectural choice for building such scalable, non-native triple stores. In this paper, we first characterize this new generation of multi-model databases. Then, discussing an example scenario, we show how they allow for agile and flexible schema management, spanning a large design space for creative and incremental data modelling. We identify the challenge of generating sound triple-views from data stored in several, interlinked models, for SPARQL querying. We regard this as one of several appealing research challenges where the semantic big data and the database architecture community may join forces. Y1 - 2019 SN - 9781450367660 U6 - https://doi.org/10.1145/3323878.3325807 SP - 1 EP - 6 PB - ACM Press CY - New York ER -