anchor.diff:  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===
  +=== Setup ===
   
   * Install a Neo4j server, and start it with the REST API enabled.
   * Add as many TYPE nodes as you want
  
positive.code: * 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===
  
  * 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===
  
  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:
  
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.
  