Sylva

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Sylva is a relaxed-schema graph database composed of several components: Sylva Data for data insertion and management based on concept relations instead of tables, Sylva Visualization for static and interactive network visualizations of the data, and Sylva Analysis for exploring connections and patterns in the data. Steroids are tools to help users import data into Sylva and export data to other formats, and for developers to connect Python tools to Neo4j and export data from SQL databases to graph format. The goal is to create an open-source and useful tool for researchers to discuss, analyze, and understand relationships in cultural data.

Sylva A relaxed-schema graph database Diego Muñoz Escalante, Javier de la Rosa dmunozes@uwo.ca, jdelaros@uwo.ca

The CulturePlex Laboratory Research on several phases of cultural dynamics Creation Transmission Representation Cultural Complexity Analysis at several scales Multidisciplinary approach Taking advantage of new technologies

Motivation Common needs between several CulturePlex projects Network structure Models of abstract representation Storage systems Visualization tools Analysis measures

Motivation Common properties of study Same interest in the topics as well as on the relationships between them Based on flexible schemes of representation at both levels: Description Semantics Strong mathematical background Network theory

Motivation Solve heterogeneous part Heterogeneous datasources Databases, Spreadsheets, Binary Files... Ad-hoc visualizations Avoid repetitive manual work Import data into complex networks Creating visualization systems Analyzing the patterns of the networks

Sylva Suite Components: Sylva Data Sylva Visualization Sylva Analysis Steroids For users For developers Future

Sylva Data An unified way to insert data Easy and Collaborative Textual and multimedia data Based on concept relations instead of tables Schema based Natural way to define valid relationships Flexible editing Plug-able

Sylva Visualization Collection of visualization tools Static, interactive, 3D Unified way of data representation Let different researchers discuss their work Network based Intuitive way to understand how things are related Different tools Letting the data being shown in multiple formats

Sylva Analysis The digital humanist tool Find influences between topics and entities Explore connections Pattern recognition In the same dataset Between different Sylva datasets Simulate systems with variables F.I. 'What if' this topic had never existed? Under intense development...

Sylva Steroids for Users General purpose import tool Input: CSV files Tables, Spreadsheets, ... Allows the user to specify Columns that generate: Nodes, relations, node fields, relation fields Web interface

Sylva Steroids for Users Export to several formats Providing deeper analysis with specific tools like: Gephi NetworkX Spreadsheets Own output format Community oriented

Sylva Steroids for Developers neo4j-rest-client (https://github.com/versae/neo4j-rest-client) Connects Python tools to the Java-based Neo4j database Open source Neo4j specification

Sylva Steroids for Developers django-graphize (https://github.com/escalant3/django-graphize) Export from SQL to Graph Databases Django addon Transfers information from a relational database to graph format Open source Features: model selection and filtering customizable field generation many-to-many supported settings file

Future Our objective is creating an useful tool Developers Open source Join the community! Users Visit out project page Suggest Participate Use it! http://escalant3.github.com/sylva

Thanks Sylva developers: Diego Muñoz Escalante Javier de la Rosa Pérez Karthick Ramachandran sylva.project@gmail.com Questions?

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Sylva

1. Sylva A relaxed-schema graph database Diego Muñoz Escalante, Javier de la Rosa dmunozes@uwo.ca, jdelaros@uwo.ca

2. The CulturePlex Laboratory Research on several phases of cultural dynamics Creation Transmission Representation Cultural Complexity Analysis at several scales Multidisciplinary approach Taking advantage of new technologies

3. Motivation Common needs between several CulturePlex projects Network structure Models of abstract representation Storage systems Visualization tools Analysis measures

4. Motivation Common properties of study Same interest in the topics as well as on the relationships between them Based on flexible schemes of representation at both levels: Description Semantics Strong mathematical background Network theory

5. Motivation Solve heterogeneous part Heterogeneous datasources Databases, Spreadsheets, Binary Files... Ad-hoc visualizations Avoid repetitive manual work Import data into complex networks Creating visualization systems Analyzing the patterns of the networks

6. Sylva Suite Components: Sylva Data Sylva Visualization Sylva Analysis Steroids For users For developers Future

7. Sylva Suite Components: Sylva Data Sylva Visualization Sylva Analysis Steroids For users For developers Future

8. Sylva Data An unified way to insert data Easy and Collaborative Textual and multimedia data Based on concept relations instead of tables Schema based Natural way to define valid relationships Flexible editing Plug-able

9. Sylva Data

10. Sylva Suite Components: Sylva Data Sylva Visualization Sylva Analysis Steroids For users For developers Future

11. Sylva Visualization Collection of visualization tools Static, interactive, 3D Unified way of data representation Let different researchers discuss their work Network based Intuitive way to understand how things are related Different tools Letting the data being shown in multiple formats

12. Sylva Visualization

13. Sylva Suite Components: Sylva Data Sylva Visualization Sylva Analysis Steroids For users For developers Future

14. Sylva Analysis The digital humanist tool Find influences between topics and entities Explore connections Pattern recognition In the same dataset Between different Sylva datasets Simulate systems with variables F.I. 'What if' this topic had never existed? Under intense development...

15. Sylva Suite Components: Sylva Data Sylva Visualization Sylva Analysis Steroids For users For developers Future

16. Sylva Steroids for Users General purpose import tool Input: CSV files Tables, Spreadsheets, ... Allows the user to specify Columns that generate: Nodes, relations, node fields, relation fields Web interface

17. Sylva Steroids for Users Export to several formats Providing deeper analysis with specific tools like: Gephi NetworkX Spreadsheets Own output format Community oriented

18. Sylva Suite Components: Sylva Data Sylva Visualization Sylva Analysis Steroids For users For developers Future

19. Sylva Steroids for Developers neo4j-rest-client (https://github.com/versae/neo4j-rest-client) Connects Python tools to the Java-based Neo4j database Open source Neo4j specification

20. Sylva Steroids for Developers django-graphize (https://github.com/escalant3/django-graphize) Export from SQL to Graph Databases Django addon Transfers information from a relational database to graph format Open source Features: model selection and filtering customizable field generation many-to-many supported settings file

21. Sylva Suite Components: Sylva Data Sylva Visualization Sylva Analysis Steroids For users For developers Future

22. Future Our objective is creating an useful tool Developers Open source Join the community! Users Visit out project page Suggest Participate Use it! http://escalant3.github.com/sylva

23. Thanks Sylva developers: Diego Muñoz Escalante Javier de la Rosa Pérez Karthick Ramachandran sylva.project@gmail.com Questions?

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