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  1. POIs it possible to use RDF storage also as a document-oriented database?
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    <p>Suppose I have a large ammount of heterogeneous JSON documents (i.e. named key-value mappings) and a hierarchy of classes (i.e. named sets) that these documents are attached to. I need to set up a data structure that will allow:</p> <ol> <li>CRUD operations on JSON documents.</li> <li>Retrieving JSON documents by ID <em>really quickly</em>.</li> <li>Retrieving all JSON documents that are attached to a certain class <em>really quickly</em>.</li> <li>Editing class hierarchy: adding/deleting classes, rearranging them.</li> </ol> <p>I've initially came up with the idea of storing JSON documents in a document-oriented database (like CouchDB or MongoDB) and storing class hierarchy in an RDF storage (like 4store). <code>1</code>, <code>2</code> and <code>4</code> are then figured out naturally, and <code>3</code> solved by maintaining list of attached document IDs for every class in the storage.</p> <p>But then I figured that a RDF storage could actually do the document-oriented part of retrieving JSON documents by ID. At a first glance this seems true, but I'm still concerned about <code>2</code> and <code>3</code>. Is there a RDF storage that is able to retrieve documents (nodes) at a speed document-oriented db's serve documents? How fast will it serve <code>3</code>-like queries? I've heard a little bit about RDF storages being slow, reification problem, etc. </p> <p>Is there an RDF storage that is also as comfortable for casual retrieving objects by ID, as CouchDB, for example? What is the difference between using document-oriented and RDF storage for storing, retrieving and editing JSON-like objects?</p>
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