I had a project to map out a whole bunch of relationships between various software configuration parameters of a vendor product. This was a lot of XML but also

I had a project to map out a whole bunch of relationships between various software configuration parameters of a vendor product. This was a lot of XML but also some CSV and JSON data. There's probably a ton of ways to do it, but I just spent some time extracting "facts" from this data into RDF. I didn't know what any of it was or how it all fit together but there were a lot of UUIDs and such. Once I had "everything" in RDF, using SPARQL queries to nose around was a really great way to find arbitrary relationships. I then used GraphViz to map out everything and it was very helpful to see how everything fit together. Could've probably used a regular database, or a key value store, but working with just flat files transformations at the command line was nice. I've also since used it manage a knowledge base and generate documentation and presentations. I haven't even used much of OWL or higher levels of abstraction yet, but just from a hack up something standpoint I think it is a pretty nice set of ideas to get basic graph operations just about anywhere you may need it, in the shell, in the browser, or in a backend project. Large sets of data may require something else, but anything less than 1g of data is rather performant IMHO.