One thing I like about the Web is that content can be distributed, but still easily referenced and integrated using URIs. One this I don’t like about moving content from the Web to the desktop is copy and paste (actually, I also hate this when moving / syncing from one service to another).
Let’s take the example of my resume. I generally update my LinkedIn profile, but almost never the “desktop version” (LaTeX or doc) of my CV. So, when the time comes to forward an up-to-date resume in PDF, I used to copy and paste content from my LinkedIn. But wait, I also need to add my publications (even though bibtex makes the integration easy), the list of my research activities and talks, etc.
So, I’ve build sparqlTeX – a LaTeX class / python script to easily embed SPARQL results into TeX files. Using it, one can directly integrate data from SPARQL endpoints, from RDFa-enabled content (such as the previous talk pages), but also from any microformatted page (any Linkedin profile as they’re using hResume) into a LaTeX document. For the last one, I’m using any23 to convert such data into RDF (actually, any23 is used for any file-based query as it extracts RDF from HTML pages even if they’re not W3C-valid)
The scripts are available on github/sparqltex. They require roquet, and the SPARQLWrapper lib if you want to query remote endpoints. That’s a simple on-demand hack, so corner cases and complex structures are probably not managed directly, but feel free to clone the code, update (and push it back), this is public domain.
Here’s the kind of output that it generates, as you can see it’s synced with my LinkedIn profile or talk pages. And you can obviously also use hyperlinks in the templates, bringing the Web back to your resume !