Data retrieval = Text retrieval?

Maryam Bugaje*, Gobinda Chowdhury

*Corresponding author for this work

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

4 Citations (Scopus)
267 Downloads (Pure)

Abstract

Due to the comparatively more recent emergence of data retrieval systems than text-based search engines, the former have still yet to achieve similar maturity in terms of standards and techniques. Most of the existing solutions for data retrieval are more or less makeshift adaptations of text retrieval systems rather than purpose-built solutions specially designed to cater to the particular peculiarities, subtleties, and unique requirements of research datasets. In this paper we probe into the key differences between text and data retrieval that bear practical relevance to the retrieval question; these differences we demonstrate by evaluating some representative examples of research data repositories as well as presenting findings from previous studies.

Original languageEnglish
Title of host publicationTransforming Digital Worlds - 13th International Conference, iConference 2018, Proceedings
EditorsGobinda Chowdhury, Julie McLeod, Val Gillet, Peter Willett
Place of PublicationCham, Switzerland
PublisherSpringer-Verlag
Pages253-262
Number of pages10
ISBN (Print)9783319781044
DOIs
Publication statusPublished - 15 Mar 2018
Event13th International Conference on Transforming Digital Worlds, iConference 2018 - Sheffield, United Kingdom
Duration: 25 Mar 201828 Mar 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10766 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Transforming Digital Worlds, iConference 2018
Country/TerritoryUnited Kingdom
CitySheffield
Period25/03/1828/03/18

Keywords

  • data retrieval
  • research data management
  • research data repositories
  • text retrieval

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