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The Tale of Sansa Spark

Paper presented at ISWC 2017, 16th International Semantic Web Conference, October 21-25, Vienna, Austria
 
: Ermilov, Ivan; Lehmann, Jens; Petzka, Henning

:
Volltext urn:nbn:de:0011-n-4771863 (303 KByte PDF)
MD5 Fingerprint: 96566a11d48cf9fa79d68502feabd866
Erstellt am: 21.12.2017


2017, 4 S.
International Semantic Web Conference (ISWC) <16, 2017, Vienna>
Englisch
Vortrag, Elektronische Publikation
Fraunhofer IAIS ()

Abstract
We demonstrate the open-source Semantic Analytics Stack (SANSA), which can perform scalable analysis of large-scale knowledge graphs to facilitate
applications such as link prediction, knowledge base completion and reasoning.
The motivation behind this work lies in the lack of scalable methods for analytics which exploit expressive structures underlying semantically structured knowledge bases. The demonstration is based on the BigDataEurope technical platform, which utilizes Docker technology. We present various examples of using SANSA in the form of interactive Spark notebooks, which are executed with Apache Zeppelin. The technical platform and the notebooks are available on SANSA Github and can be deployed on any Docker-enabled host, locally or in a Docker Swarm cluster.

: http://publica.fraunhofer.de/dokumente/N-477186.html