anchor.diff:  * Add as many instance nodes as you want, with the defined properties, and relate them to their
     type node with the IS_A relationship
   
  -===Usage===
  +=== Usage ===
   
   * Add the JDBC driver jar file to your applications classpath
   * Load the driver with the class +org.neo4j.jdbc.Driver+
   * Connect with URLs on the form +jdbc:neo4j://<host>:<port>/+, e.g. +jdbc:neo4j://localhost:7474/+
   * Execute queries using the Cypher graph query language
   
  -===Using with DbVisualizer===
  +=== Using with DbVisualizer ===
   
   One of the first tests I did with the driver was to connect to Neo4j using the DbVisualizer tool (www.dbvis.com/).
   Here is how you can try it out:
  
positive.code: the instance to the type node via the IS_A relationship. By using this structure the JDBC driver can mimic a relational database,
  and provide a means to execute queries against the Neo4j server.
  
  ===Setup===
  
  * Install a Neo4j server, and start it with the REST API enabled.
  * Add as many TYPE nodes as you want
  
negative.code: == Neo4j JDBC driver ==
  
  This is a first attempt at creating a JDBC driver for the graph database Neo4j. While Neo4j is a graph database, and
  JDBC is based on the relational paradigm, this driver provides a way to bridge this gap.
  