There are several instances where I have a collection of references that I want to deduplicate and merge.
There are several instances where I have a collection of references that I want to deduplicate and merge.
In preparation for WikiCite 2017 I'm looking more closely at extracting bibliographic information from Wikispecies. The WikiCite project "is a proposal to build a bibliographic database in Wikidata to serve all Wikimedia projects". One reason for doing this is so that each factual statement in WikiData can be linked to evidence for that statement.
David King et al.'s paper "Towards the bibliography of life" http://dx.doi.org/10.3897/zookeys.150.2167 has just appeared in a special issue of ZooKeys . I've written a number of posts on this topic, so I've a few comments. King et al. survey some of the issues, but don't really tackle the big issue of how we're going to build this.
Following on from my previous post about Wikispecies (which generated some discussion on TAXACOM) I've played some more with Wikispecies. AS a first step I've added a Wikispecies RSS feed to my list of RSS feeds. This feed takes the original Wikispecies RSS feed for new pages (generated by the page Special:NewPages ) and tries to extract some details before reformatting it as an ATOM feed.
This post was prompted by Stephen Thorpe's post on TAXACOM about Wikispecies in which he wrote (in a thread discussing Roger Hyam's recent blog post) that I beg to differ. Wikispecies runs on a database (the Mediawiki software uses a database to store the wiki), and Mediawiki can be thought of as a database of semi-structured text, but it lacks a lot of the functionality database users would expect.
Next few weeks will be busy with term starting, kids visiting, and other commitments, so time to jot down some ideas. The first is to have a Wiki for taxonomic names. Bit like Wikispecies, but actually useful, by which I mean useful for working biologists. This would mean links to digital literature (DOIs, Handles, etc.), use of identifiers for names and taxa (such as NCBI taxids, LSIDs, etc.), and having it pre-populated with data.