I've released a very crude GraphQL endpoint for WikiData. More precisely, the endpoint is for a subset of the entities that are of interest to WikiCite, such as scholarly articles, people, and journals. There is a crude demo at https://wikicite-graphql.herokuapp.com. The endpoint itself is at https://wikicite-graphql.herokuapp.com/gql.php.

Last week I submitted a manuscript entitled "Wikidata and the bibliography of life". I've been thinking about the "bibliography of life" (AKA a database of every taxonomic publication ever published) for a while, and this paper explores the idea that Wikidata is the place to create this database.

I stumbled across this tweet yesterday (no doubt when I should have been doing other things), and disappeared down a rabbit hole. Emerging, I think the trip was worth it.   Markdown wikis Among the tools listed by @zackfan01 were Obsidian and Roam, neither of which I heard of before.

A week ago Toby Hudson (@tobyhudson) released a very cool Chrome (and now Firefox) extension called Entity Explosion. If you install the extension, you get a little button you can press to find out what Wikidata knows about the entity on the web page you are looking at. The extension works on web sites that have URLs that match identifiers in Wikidata.

I'm giving a short talk at the Workshop On Open Citations And Open Scholarly Metadata 2020, which will be held online on September 9th.

These are simply notes to myself about taxonomic classifications in Wikidata. Classifications in Wikidata can be complex and are often not trees. For example, if we trace the parents of the frog family Leptodactylidae back we get a graph like this: Each oval represents a taxon in Wikidata, and each arrow connects a taxon to its parent(s) in Wikidata.

Given my renewed enthusiasm for Wikidata, I'm trying to get my head around the way that Wikidata models biological taxonomy. As a first pass, here's a diagram of the properties linked to a taxonomic name. The model is fairly comprehensive, it includes relationships between names (e.g, basionym, protonym, replacement), between taxa (e.g., parent taxon), and links to the literature.

I haven't posted on iPhylo for a while, and since my last post back in January things have obviously changed quite a bit. In late January and early February I was teaching a course on biodiversity informatics, and students discovered the John Hopkins coronavirus dashboard, which seemed like a cool way to display information on a situation that was happening on the other side of the world. All fairly abstract.

I've tweaked Ozymandias to now include short natural language summaries (snippets) for various taxa. This makes the output a little more friendly and informative. For example, here's a snippet from the page on Cephalodesmius , a dung beetle that makes its own dung. These snippets come from Wikipedia, well actually, from the DBpedia project.

I spent last week in Ottawa at a "Ecobiomics" hackathon organised by Joel Sachs. Essentially we spent a week exploring the application of linked data to various topics in biodiversity, with an emphasis on looking at working examples.