Time for a Friday folly. I've made a clunky screencast showing an example of linking biodiversity data together, using bioGUID as the universal wrapper around various data sources.

I'm in the midst of rebuilding iSpecies (my mash-up of Wikipedia, NCBI, GBIF, Yahoo, and Google search results) with the aim of outputting the results in RDF. The goal is to convert iSpecies from a pretty crude "on-the-fly" mash-up to a triple store where results are cached and can be queried in interesting ways. Why?

Following on from the last post, I've now set up a trivial NCBI RDF service at bioguid.info/taxonomy/ (based on the ISSN resolver I released yesterday and announced on the Bibliographic Ontology Specification Group).If you visit it in a web browser it's nothing special. However, if you choose to display XML you'll see some simple RDF.

Lately I've been returning to playing with RDF and triple stores. This is a serious case of déjà vu, as two blogs I've now abandoned will testify (bioGUID and SemAnt). Basically, a combination of frustration with the tools, data cleaning, and the lack of identifiers got in the way of making much progress.

Stumbled across Zitgist (via UMBEL), and thought the diagram above was so cool I'd have to blog about it. Zitgist is one of a growing number of Semantic Web companies, specialising in Linked Data. This topic is dear to my heart, so I'll need to keep an eye on what Zitgist and others are up to.

Nothing like a little hubris first thing Monday morning...After various experiments, such as a triple store for ants (documented on the Semant blog) and bioGUID (documented on the bioGUID blog), I'm starting from scratch and working on a "database of everything". Put another way, I'm working on a database that aggregates metadata about specimens, sequences, literature, images, taxonomic names, etc.

Following on from the previous post, as Howison and Goodrum note, Adobe provides XMP as a way to store metadata in files, such as PDFs. XMP supports RDF and namespaces, which means widely used bibliographic standards such as Dublin Core and PRISM can be embedded in a PDF, so the article doesn't become separated from its metadata.