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Named property graphs Dominik Tomaszuk, ukasz Szeremeta 2019 - PowerPoint PPT Presentation

Named property graphs Dominik Tomaszuk, ukasz Szeremeta 2019 University of Bialystok, Institute of Informatics Introduction We introduce Named Property Graph model that allows to group graphs into separate units and describe information about


  1. Named property graphs Dominik Tomaszuk, Łukasz Szeremeta 2019 University of Bialystok, Institute of Informatics

  2. Introduction We introduce Named Property Graph model that allows to group graphs into separate units and describe information about them. We also present Cypher n query language that supports our proposal, mapping algorithms and use cases.

  3. Named property access control data syndication graph usage information usage control aggregation or graph signing encapsulation of graph elements expressing propositional attitudes

  4. Named ● ability to name graph ● graph can have own properties property graph ○ graph name ○ properties for whole graph

  5. Cypher n ● added FROM clause which specify name of property graph ○ named property graph query language ○ additional FROM clause MATCH (n) FROM (m) RETURN n, m

  6. Interoperability ● easy apply for existing databases ● mapping algorithms ○ named property graphs ➡ property graphs ○ Cypher n ➡ openCypher

  7. Mapping Named Property Graph into Property Graph

  8. Mapping MATCH (n) FROM (m) Cypher n into RETURN n, m openCypher MATCH (n)<-[:RELATED]-(m) RETURN n, m

  9. ● Java open-source Command Line Interface (CLI) SDF parser ● parse chemical SDF files into 4 formats including openCypher ● ability to add additional atoms data from periodic table ● ability to change database IDs to full URLs Available on GitHub https://github.com/lszeremeta/SDFEater

  10. ● We present a Named Property Graph model which allows to group graphs into separate units and describe information about them. ● We also introduce Cypher n query language that supports our Conclusions proposal. ● We also present mapping algorithms, use cases with the chemical data, and SDFEater that is our tool for processing data. ● Our proposal can be easily applied to existing databases.

  11. Thank you! Łukasz Szeremeta 2019 l.szeremeta@uwb.edu.pl

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