Kleio: A knowledge-enriched information retrieval system for biology

Chikashi Nobata, Philip Cotter, Naoaki Okazaki, Brian Rea, Yutaka Sasaki, Yoshimasa Tsuruoka, Jun'ichi Tsujii, Sophia Ananiadou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

Kleio is an advanced information retrieval (IR) system developed at the UK National Centre for Text Mining (NaCTeM)1. The system offers textual and metadata searches across MEDLINE and provides enhanced searching functionality by leveraging terminology management technologies.

Original languageEnglish
Title of host publicationACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings
Pages787-788
Number of pages2
DOIs
Publication statusPublished - 2008 Dec 15
Event31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM SIGIR 2008 - Singapore, Singapore
Duration: 2008 Jul 202008 Jul 24

Publication series

NameACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings

Other

Other31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM SIGIR 2008
CountrySingapore
CitySingapore
Period08/7/2008/7/24

Keywords

  • Information retrieval
  • MEDLINE
  • Named entity recognition

ASJC Scopus subject areas

  • Information Systems
  • Software

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