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Shipping Knowledge Graph Management Capabilities to Data Providers and Consumers

: Al-Safi, Omar; Mader, Christian; Lytra, Ioanna; Galkin, Mikhail; Endris, Kemele; Vidal, Maria-Esther; Auer, Soeren

Postprint urn:nbn:de:0011-n-5126641 (768 KByte PDF)
MD5 Fingerprint: 59eeba791af207f41f345d0edb6bef39
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Erstellt am: 19.10.2018

Institute of Electrical and Electronics Engineers -IEEE-:
IEEE 12th International Conference on Semantic Computing, ICSC 2018 : Laguna Hills, California, USA, 31 January - 2 February 2018
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-4408-9 (electronic)
ISBN: 978-1-5386-4409-6 (print)
International Conference on Semantic Computing (ICSC) <12, 2018, Laguna Hills/Calif.>
European Commission EC
Horizon 2020; 644564; BigDataEurope
Integrating Big Data, Software and Communities for Addressing Europe’s Societal Challenges
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

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, int ended 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.