Wikidata:WikidataCon 2017/Submissions/Talk: "Intelligent information retrieval".

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 This is an Open submission for WikidataCon 2017 that has not yet been reviewed by the members of the Program Committee.

Submission no. 58
Title of the submission

Intelligent information retrieval


Author(s) of the submission
Charles Matthews
E-mail address
charles.r.matthews@ntlworld.com
Country of origin

United Kingdom

Affiliation, if any (organisation, company etc.)

Wikimedia UK. Currently Wikimedian in Residence at ContentMine.


Type of session

Currently I'm thinking of a Talk. Depending on technical progress, and any possible extension of my position at ContentMine (due to finish in September), I might make this into a 1 hour workshop.

Length of session
45 minutes/1 hour depending.
Ideal number of attendees
Workshop for 10.

Abstract

ContentMine searches the scientific literature using custom lists of search terms, called "dictionaries". These can be used singly, or in powerful combinations, e.g. searching for a group of drugs and a group of diseases. A tool currently hosted at https://tarrow.github.io/aaraa/index.html allows these dictionaries to be generated by anyone, from a SPARQL query. This route therefore permits anyone to conduct detailed research on recent scientific papers, using the full scope of Wikidata, particularly its lists of aliases.

What will attendees take away from this session?
  1. Understanding of the scope of ContentMine fact mining and search tools.
  2. If a workshop is run, hands-on experience and technical support.

Interested attendees[edit]

If you are interested in attending this session, please sign with your username below. This will help reviewers to decide which sessions are of high interest.

  1. Daniel Mietchen (talk) 08:08, 31 July 2017 (UTC)[reply]
  2. Andrawaag (talk) 18:02, 17 August 2017 (UTC)[reply]
  3. Sic19 (talk) 20:45, 20 August 2017 (UTC)[reply]