No doubt that blockchain technology has revolutionized a decentralized consensus technique allowing for increased security and trust among people and machines. This has paved the way for many and various types of applications to make use of the notions of this promising technology. These applications are concerned with persisting historically attested and tamper resistant datasets. Having these datasets persisted calls for techniques that fulfill the emerging requirements for managing these stored datasets efficiently. This includes providing efficient and direct ways to access, query, interlink, and retrieve those datasets. The absence of such solutions imposes many hindrances to make use of the full extent of the blockchain technology. In this paper, we introduce our approach which aims at adding a data-graph service-layer to the component stack of a blockchain system. This added service-layer employs data graphs such as RDF-encoded data, reasoning, and the underlying inference rules allowing to implement applications with advanced requirements for sophisticated data models that need to be built on top of blockchain infrastructure.

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