title: How to relate word concordances and docuements using graph data base
body: <p>I saw some tutorials referring to importing data to the {Neo4j, titan,...} graph DBs. I have some questions about how to apply it to our academic project. </p>
  
  <p>In this case we have a set of documents in pdf and Microsoft Word formats (which is not so important at the moment) which we want to relate by global topic. In that case, it is easy to visualize the solution by using {Neo4j, titan,...}; however, there exists another case which I think is a little more special. Some concepts that are present in the documents must be related in a graph. In this case we have pinpointed such concepts, represented almost always by multiword terms (like for instance "artificial neural netwok"), and we would like to relate them within a document as a set of documents, with the possibility of making a query about any context in the document or documents in which any queried term is used (concordances). </p>
  
  <p>The last task (concordances) currently is made by using a relational DB, but we want to centralize all tasks into a unique database, which we think must be a graph DB {Neo4j, titan,...}.</p>
  
  <p>We hope a little orientation about how you think we can adapt our problem to the {Neo4j, titan,...} graph DB. Maybe documentation about similar examples (if there exists), a general view about possible ways of the data structure for importing... you know.</p>
  
  <p>Well I hope not to be so ambiguous. 
  Thank you so much in advance.</p>