Publikace na Matematicko-fyzikální fakulta |
2019
Abstrakt
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.