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.

This week I attended the SWAT4(HC)LS (Semantic Web Applications and Tools for Healthcare and Life Sciences) meeting in Edinburgh. Although a relatively small meeting, SWAT4(HC)LS attracts some big names in the field and featured keynotes by Denny Vrandečić (founder of Wikidata), Dov Greenbaum, Birgitta König-Ries, and Helen Parkinson.

In the spirit of release early and release often, here is the first workable version of a biodiversity knowledge graph that I've been working on for Australian animals (for some background on knowledge graphs see Towards a biodiversity knowledge graph now in RIO). The core of this knowledge graph is a classification of animals from the Atlas of Living Australia (ALA) combined with data on taxonomic names and publications from the Australian

For my own use more than anything else I've started creating a list of Wikidata SPARQL queries here. I personally don't find Wikidata's data model particularly easy to grasp, so one way to learn is to take the example queries on the Wikidata Query site and mess about with them. For those interested in taxonomic data Wikidata is quite rich in content.

Following on from previous posts The Semantic Web made fun: d3sparql and The Biodiversity Heritage Library meets Wikidata via Wikispecies: adding author identifiers to BioStor I've put together an example query that can be used to extract a taxonomic classification from Wikidata.

Continuing my on-again off-again relationship with the Semantic Web, I stumbled across a cool approach to visualising the results of SPARQL queries.

Readers of this blog will know that I'm sceptical about the current value of linked data and RDF in biodiversity informatics. But I came across an interesting paper on RDF and biocuration that suggests a good "use case" for RDF in constructing and curating taxonomic databases. The paper is "Catching inconsistencies with the semantic web: a biocuration case study" (PDF here) by Jerven Bolleman and Sebastien Gehant.

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.