OUP accepted manuscript

  • Database, January 2019, Oxford University Press (OUP)
  • DOI: 10.1093/database/baz085

Large expert-curated database for benchmarking document

What is it about?

To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors

Why is it important?

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago.


MD Diego A. Valera-Cornejo
Vista Clinic

The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods.

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The following have contributed to this page: Dr Daniel Prieto, Dr James A.L. Brown, Professor Amanda G Thrift, Professor Kutty Selva Nandakumar, Professor Miguel Viveiros, MD Diego A. Valera-Cornejo, Dr Soroush Safaei, Dr Carmen San Martín, Piero Carninci, Dr Florian Rehfeldt, Dr Yoichi Watanabe, Kazuki Ide, Mr Alvin Wong, Dr Adrian Meule, Dr Maurizio Petrelli, Dr Christine McGarrigle, Tristan Reddan, and Dr Nicola Roberts