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The GraphBRAIN System for Knowledge Graph Management and Advanced Fruition

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Foundations of Intelligent Systems (ISMIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12117))

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Abstract

The possibility of inter-relating different information items is crucial in the perspective of enhanced storage, handling and fruition of knowledge. GraphBRAIN is a general-purpose tool that allows to design and collaboratively populate knowledge graphs, and provides advanced solutions for their fruition, consultation and analysis. Its functionalities are also provided as Web services to other applications. A peculiarity of GraphBRAIN is its fusion of methods and tools coming from different research areas: ontologies to describe such variated knowledge, collaborative tools to collect the knowledge scattered across many people, graph databases to store the knowledge base, data mining and social network analysis tools for personalized fruition of the collected knowledge. It is currently used as the knowledge management platform in a tourism-related project.

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Notes

  1. 1.

    A demo of the system is available at http://193.204.187.73:8088/GraphBRAIN/.

  2. 2.

    http://www.w3c.org/owl.

  3. 3.

    https://protege.stanford.edu.

  4. 4.

    http://owlcs.github.io/owlapi.

  5. 5.

    http://wit.istc.cnr.it/arco/index.php?lang=en.

  6. 6.

    https://db-engines.com/en/system/GraphDB%3BNeo4j.

  7. 7.

    http://owl.cs.manchester.ac.uk/tools/list-of-reasoners/.

  8. 8.

    https://neo4j.com/blog/rdf-triple-store-vs-labeled-property-graph-difference/.

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Author information

Authors and Affiliations

  1. University of Bari, Bari, Italy

    Stefano Ferilli

  2. Artificial Brain S.r.l, Bari, Italy

    Domenico Redavid

Authors
  1. Stefano Ferilli
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  2. Domenico Redavid
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Corresponding author

Correspondence to Stefano Ferilli .

Editor information

Editors and Affiliations

  1. Graz University of Technology, Graz, Austria

    Denis Helic

  2. University of Klagenfurt, Klagenfurt, Austria

    Gerhard Leitner

  3. Graz University of Technology, Graz, Austria

    Martin Stettinger

  4. Graz University of Technology, Graz, Austria

    Alexander Felfernig

  5. University of North Carolina at Charlotte, Charlotte, NC, USA

    Zbigniew W. Raś

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Ferilli, S., Redavid, D. (2020). The GraphBRAIN System for Knowledge Graph Management and Advanced Fruition. In: Helic, D., Leitner, G., Stettinger, M., Felfernig, A., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2020. Lecture Notes in Computer Science(), vol 12117. Springer, Cham. https://doi.org/10.1007/978-3-030-59491-6_29

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  • DOI: https://doi.org/10.1007/978-3-030-59491-6_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59490-9

  • Online ISBN: 978-3-030-59491-6

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