title: Advice on String Similarity Metrics (Java). Distance, sounds like or combo?
body: <p>A part of a process requires to apply String Similarity Algorithms. </p>
  
  <p>The results of this process will be stored and produce lets say SS_Dataset. </p>
  
  <p>Based on this Dataset, further decisions will have to be made. </p>
  
  <p>My questions are: </p>
  
  <ul>
  <li><p>Should I apply one or more string similarity algorithms to produce SS_Dataset ? </p></li>
  <li><p>Any comparisons between algorithms that calculate the 'distance' and the 'Sounds Like' similarity ? </p></li>
  </ul>
  
  <p>Does one family of algorithms produce more accurate results over the other? Does a combination give more accurate results on similarity? </p>
  
  <ul>
  <li>Can you recommend implementations that you have worked with? </li>
  </ul>
  
  <p>My implementation will include packages from the following libraries</p>
  
  <p><a href="http://www.dcs.shef.ac.uk/~sam/simmetrics.html" rel="nofollow noreferrer">http://www.dcs.shef.ac.uk/~sam/simmetrics.html</a></p>
  
  <p><a href="http://jtmt.sourceforge.net/" rel="nofollow noreferrer">http://jtmt.sourceforge.net/</a></p>