FOSDEM 2013 - A Neo4j powered social networking and Q&A appl. to enhance scientific communication




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Published on Feb 22, 2013

Slides: http://www.rene-pickhardt.de/wp-conte...

With related-work.net we introduce a scientific platform that is using neo4j to store an open citation graph of research articles and build a social networking application on top of it. We use Google Web Toolkit enhanced by the Model View Presenter framework GWTP.

Related-Work offers the following core functionality (http://www.rene-pickhardt.de/related-...
Convenient browsing of scientific literature using

* recommendations * (personalized) search functions ** (personalized) alerts for new publications.
Enhance scientific communication with Q&A features inspired by StackOverflow.

In this talk we show that graph databases are the natural technology to power not only a social networking application but are the best choice for a question and answer system.

Topics of the talk include:

- Design and implementation of a discussion system on top of a social network application using a graph database.
- Why does it scale better than relational approaches?
- Why is it more flexible than a document store?
- Techniques for storing big graphs in neo4j and performing data mining tasks
- Benchmarks comparing neo4j's core API to Cypher Query language.
- How to build personalized graph based search indices
- Performance boosts by smart client side caching for local graph queries.

Currently only a preliminary python based demo is online at dev.related-work.net but we are working hard to get our +10'000 lines of code deployed in the beginning of 2013. That will already include a basic Q & A System as well as various data mining techniques on graphs, recommendation engines and personalized search and auto completion. The source code can be found at: https://github.com/renepickhardt/rela...

This is joint work with Heinrich Hartmann (Koblenz), David Shotton (Oxford) and Sun Xinruo (Shanghai Jiao Tong University).
Rene Pickhardt
(Researcher at WeST - Institute for Web Science and Technologies)



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