Shipping Knowledge Graph Management Capabilities to Data Providers and Consumers

The amount of Linked Data both open, made available on the Web, and private, exchanged across companies and organizations, have been increasing in recent years. This data can be distributed in form of Knowledge Graphs (KGs), but maintaining these KGs is mainly the responsibility of data owners or providers. Moreover, building applications on top of KGs in order to provide, for instance, analytics, data access control, and privacy is left to the end user or data consumers. However, many resources in terms of development costs and equipment are required by both data providers and consumers, thus impeding the development of real-world applications over KGs. We propose to encapsulate KGs as well as data processing functionalities in a client-side system called Knowledge Graph Container, intended to be used by data providers or data consumers. Knowledge Graph Containers can be tailored to the target environments. We empirically evaluate the performance and scalability of Knowledge Graph Containers with respect to state-of-the-art Linked Data management approaches. Observed results suggest that Knowledge Graph Containers increase the availability of Linked Data, as well as efficiency and scalability of various Knowledge Graph management tasks.