I just read the transcript of Jon Udell’s podcast interview of Kingsley Idehen. It’s almost two years old but it contains something that I have tried (and mostly failed) to explain for a while now, so maybe borrowing someone else’s words (and credibility) would help.
“A graph model, ideally, will allow you to explore almost all the comprehensible dimensions of the nodes in that network. So you can traverse that network in a myriad of different ways and it will give you much more flexibility than if you’re confined to a tree, in effect, the difference between XQuery and SPARQL. I always see the difference between these two things as this. If you visualize nodes on a network, SPARQL is going to get you to the right node. Your journey to what you want is facilitated by SPARQL, and then XQuery can then take you deeper into this one node, which has specific data that the graph traversal is taking you to.”
Nicely said, especially considering that this is not a prepared statement but a transcript of a (presumably) unscripted interview.
He later provides an example:
“Let’s take a microformat as an example. HCard, or an hCalendar, is a well-formed format. In a sense, it’s XML. You can locate the hCard in question, so if you had a collection of individuals who had full files on the network in the repository, it could be a graph of a social network or a group of people. Now, through that graph you could ultimately locate common interests. And eventually you may want to set up calendars but if the format of the calendar itself is well formed, with XQuery you can search a location, with XPath it’s even more specific. Here you simply want to get to a node in the content and to get a value. Because the content is well formed you can traverse within the content, but XQuery doesn’t help you find that content as effectively because in effect XQuery is really all about a hierarchical model.”
Here is one way to translate this to the IT management domain. Replace hCard with an XML-formated configuration record. Replace the graph of social relationships with a graph of IT-relevant relationships (dependency, ownership, connections, containment…). Rather than attempt to XQuery across an entire CMDB (or, even worse, an entire CMDB federation), use a graph query (ideally SPARQL) to find the items of interest and then use XPath/XQuery to drill into the content of the resulting records. The graph query language in CMDBf is an attempt to do that, but it has to constantly battle attempts to impose a tree-based view of the world.
This also helps illustrate why SPARQL is superior to the CMDBf query language. It’s not just that it’s a better graph query language, one that has received much more review and validation by people more experienced in graph theory and queries, and one that is already widely implemented. It also does something that CMDBf doesn’t attempt to do: it lets you navigate the graph based on the semantics appropriate for the task at hand (dependency relationships, governance rules, distributed performance management…), something that CMDBf cannot do. There is more to classification than simply class inheritance. I think this is what Kingsley refers to when he says “in a myriad of different ways” in the quote above.
Here is a way to summarize the larger point (that tree and graph views are complementary):
Me Tarzan, you Jena
Where Tarzan (appropriately) represents the ability to navigate trees and Jane/Jena represents the ability to navigate graphs (Jena, from HP Labs, is the leading open source RDF/OWL/SPARQL framework). As in the movie, they complement each other (to the point of saving one another’s life and falling in love, but I don’t ask quite that much of SPARQL and XQuery).
On a related topic, I recently saw some interesting news from TopQuadrant. Based on explicit requests from the majority of their customers, they have added capabilities to their TopBraid Composer product to better make use of the RDF/OWL support in the Oracle database. TopQuadrant is at the forefront of many semantic web applications and the fact that they see Oracle being heavily used by their customers is an interesting external validation.
[UPDATED 2008/03/05: more related news! The W3C RDB2RDF incubator group has started is life at W3C, chaired by my colleague Ashok Malhotra, to work on mappings between RDF/OWL and relational data.]
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