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Querying RDF data in Multi-Model NoSQL databases
Cutajar, Marzia ; Svoboda, Martin (advisor) ; Klímek, Jakub (referee)
The RDF framework has gained popularity in recent years, as it makes semantic data easily accessible and queryable on the Web. However, RDF data management systems are facing certain challenges, particularly that of scalability. NoSQL databases, which are known for their ability to store large amounts of unstructured data, could be exploited for this purpose to gain more efficient systems. Even more interesting would be the use of Multi-Model NoSQL databases, which incorporate several different data models within a single database management system, and were created as a response to Polyglot Persistence and its challenges. As of yet, semantic data is not well supported in such database systems. In this thesis, we present approaches for transforming and storing RDF data within the Multi-Model database ArangoDB, as well as propose a query transformation algorithm that enables us to query RDF data in ArangoDB using SPARQL. The functionality of these data transformation and query transformation algorithms is experimentally evaluated on sample data and queries, using our prototype implementation.
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Evolution Management in NoSQL Document Databases
Vavrek, Michal ; Holubová, Irena (advisor) ; Svoboda, Martin (referee)
NoSQL databases are widely used for many applications as a technology for data storage, and their usage and popularity rises. The first aim of the thesis is to research the existing approaches and technologies for schema evolution in NoSQL databases. Next, we introduce an approach for schema evolution in multi-model databases with a unified interface for the most common data models. The proposed approach is easy to use and covers the common migration scenarios. We have also implemented a prototype, optimized its read/write operations, and demonstrated its properties on real-world data. 1
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