The document discusses graph databases and their uses. Graph databases are useful for representing social networks and enabling recommendation systems. Examples of companies using graph databases include eBay, Twitter, and research centers using RDF and SPARQL. The document provides an example of how a graph database could represent a job matching scenario and references N3 and Jena/Euler as graph query languages and engines. It also briefly mentions Google's Knowledge Graph project and provides some additional resource links.

1. Web of Data
Lect.ZainabAlmugbel
ComputerScienceFacultyMember

7. What is it good for?

8. Social Graph

10. Recommendation

12. Available Software
• Ebay uses Neo4j - Java-based Graph Database-
for delivery service routing
• Twitter uses FlockDB to store relationships
among users
• RDF with SPARQL in research centers

13. Example
• Sara lives in Dammam, knows C# and knows
MySQL. There is a job post that requires a
candidate be in Dammam, know C# and know
MySQL.

15. Graph Database Code
• We will be using a very simple language for
representing the example as graph database.
It is called N3.
• Both Jena or Euler engine can be used for
inference (query).
• We need to represent data, then query it to
get a matching result.

16. Graph Database Code Cont’d
Date Representation Query

17. Web of Data Layers

18. Knowledge Graph
Undergoing Google Project

20. Good Websites
• W3C
– http://www.w3.org/
• Knowledge Graph
– http://www.google.com/insidesearch/features/se
arch/knowledge.html
• A developer website
– http://maxdemarzi.com

21. References
• http://www.slideshare.net/purbon/graph-
databases-the-web-of-data-storage-engines
• http://www.slideshare.net/kevin_yeung/grap
h-database-and-neo4j?next_slideshow=1
• www.neo4j.com
• http://maxdemarzi.com
• http://www.w3.org/

22. Thank you