How to publish an HTML5+RDFa Web site from org-mode

I’m a big fan of org-mode (see previous posts), and I’ve started maintaining (sic) my professional webpage(s) with it.

But I’ve also recently tried and publish some more Semantic/Linked Data aware documents too (again, previous posts).

Ideally, I think my preferred workflow for publishing articles or documents of some importance, would be to author them in org-mode, and then publish them as HTML5 including RDFa meta-data and annotations. Instead, I’ve more frequently been doing conversions of org-mode to LaTeX, in order to submit a printable version, and later-on decided to convert the LaTeX to HTML5+RDFa…

But one of the issues is how to properly embed the RDF meta-data inside the org-mode documents, so that the syntax is both compact and expressive enough.

I doubt there’s a universal solution, given that RDF tends to be complex, and graphs may not project easilly along a mainly linear structure of an org-mode document, but anyway, there seems to be possible middle grounds that are practically good enough.

I’ve tried and implement a solution, which reuses the principles set by John Kitchin in Extending the org-mode link syntax with attributes, i.e. implementing an HTML exporter for a particular custom link type, which will convert the plist-like syntax to some RDFa constructs.

Here’s a description of the whole solution :

The nice thing about org-mode, and its litterate programming babel environment, is that it allows to embed the code of the links exporter inside the org document, avoiding to dissociate the converter from the document’s source, making it auto-complete.

Next step will probably be to author a paper (or convert back a “preprint” of mines) with org-mode, in order to provide Linked Research meta-data.

Stay tuned for more details, and in the meantime, I welcome any improvement to the org/babel/elisp setup.

Edit: I’ve recorded a webcast to provide a bit more details, available on YouTube :

Publishing my papers as Linked Research

I intend to make the extra effort of republishing my own research papers as Linked Research, i.e. in a form readable by humans (HTML5), but also embedding meta-data (as RDF) for machine processing.

I’ve started with Authoritative Linked Data descriptions of Debian source packages using ADMS.SW (a good candidate, as it deals with Linked Data ;).

You’ll notice the menu which helps select different style sheets for preparing clean printable versions, not far from the LaTeX output usually converted to PDF.

I hope this will pave the way to more Linked Research, and less opaque publications.

The only hassle at the moment is the conversion from LaTeX to HTML5 which I’m doing manually, in Emacs + nxml-mode.

Update: Check the preprint links in my publications page, for more papers.

Using RDFAlchemy together with RDFLib’s SPARQLStore to query DBPedia and process resources in OO way

I’ve been searching for interesting ways to manipulate RDF graphs in Python, to create an application that would handle Linked Data Resources in an OO-way, i.e. using Python classes and not tables/sets/lists of triples. The data will be persisted in graphs in a triple store, accessed through a SPARQL enpoint.

In this post, I’ll illustrate how I managed to tie RDFLib’s SPARQLStore plugin and RDFAlchemy to reach a rather nice looking result.

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