Two conference proceedings: nanopublications and Scholia

It takes effort to move scholarly publishing forward. And the traditional publishers have not all shown to be good at that: we’re still basically stuck with machine-broken channels like PDFs and ReadCubes. They seem to all love text mining, but only if they can do it themselves. 1 minute read

The SWAT4LS poster about eNanoMapper

SWAT4LS was once again a great meeting. I doubt I will find time soon enough to write up notes, but at least I can post the eNanoMapper poster I presented, which is available from F1000Research: less than 1 minute read

Two Apache Jena SPARQL query performance observations

3 minute read

New Paper: "Using the Semantic Web for Rapid Integration of WikiPathways with Other Biological Online Data Resources"

Andra Waagmeester published a paper on his work on a semantic web version of the WikiPathways (doi:10.1371/journal.pcbi.1004989). The paper outlines the design decisions, shows the SPARQL endpoint, and several examples SPARQL queries. These include federates queries, like a mashup with DisGeNET (doi:10.1093/database/bav028) and EMBL-EBI’s Expression Atlas. That results in nice visualisations like this: 2 minute read

Migrating pKa data from DrugMet to Wikidata

In 2010 Samuel Lampa and I started a pet project: collecting pKa data: he was working on RDF extension of MediaWiki and I like consuming RDF data. We started DrugMet. When you read this post, this MediaWiki installation may already be down, which is why I am migrating the data to Wikidata. Why? Because data curation takes effort, I like to play with Wikidata (see this H2020 proposal by Daniel Mietchen et al.), I like Open Data, and it still much needed. 3 minute read

Adding disclosures to Wikidata with Bioclipse

Last week the huge, bi-annual ACS meeting took place (#ACSSanDiego), during which commonly new drug (leads) are disclosed. This time too, like this one tweeted by Bethany Halford: 2 minute read

Adding chemical compounds to Wikidata

Adding chemical compounds to Wikidata is not difficult. You can store the chemical formula (P274), (canonical) SMILES (P233), InChIKey (P235) (and InChI (P234), of course), as well various database identifiers (see what I wrote about that here ]). It also allows storing of the provenance, and has predicates for that too. 2 minute read