Online from: 1983
Subject Area: Library and Information Studies
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|Title:||Analysing user's queries for cross-language image retrieval from digital library collections|
|Author(s):||Daniela Petrelli, (Art & Design Research Centre, Cultural, Communication and Computing Research Institute, Sheffield, UK), Paul Clough, (Information School, University of Sheffield, Sheffield, UK)|
|Citation:||Daniela Petrelli, Paul Clough, (2012) "Analysing user's queries for cross-language image retrieval from digital library collections", Electronic Library, The, Vol. 30 Iss: 2, pp.197 - 219|
|Keywords:||Archives, Automatic machine translation, Cross-language information retrieval, Historical photo archives, Image retrieval, Information retrieval, Translation services, Visual databases|
|Article type:||Research paper|
|DOI:||10.1108/02640471211221331 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
|Acknowledgements:||The work was carried out when the first author was at the Information School at the University of Sheffield. The authors wish to thank the participants for their time and thoughts.|
Purpose – This paper aims to describe a study of the queries generated from a user experiment for cross-language information retrieval (CLIR) from a historic image archive.
Design/methodology/approach – A controlled lab-based user study was carried out using a prototype Italian-English image retrieval system. Participants were asked to carry out searches for 16 images provided to them, a known-item search task. Italian speaking users generated 618 queries for a set of known-item search tasks. User's interactions with the system were recorded and queries were analysed manually quantitatively and qualitatively. The queries generated by user's interaction with the system were analysed and the results used to suggest recommendations for the future development of cross-language retrieval systems for digital image libraries.
Findings – Results highlight the diversity in requests for similar visual content and the weaknesses of machine translation for query translation. Through the manual translation of queries the authors show the benefits of using high-quality translation resources. The results show the individual characteristics of users while performing known-item searches and the overlap obtained between query terms and structured image captions, highlighting the use of user's search terms for objects within the foreground of an image.
Research limitations/implications – This research looks in depth into one case of interaction and one image repository. Despite this limitation, the discussed results are likely to be valid across other languages and image repositories.
Practical implications – To develop effective systems requires studying user's search behaviours, particularly in digital image libraries.
Originality/value – The growing quantity of digital visual material in digital libraries offers the potential to apply techniques from CLIR to provide cross-language information access services. The value of this paper is in the provision of empirical evidence to support recommendations for effective cross-language image retrieval system design.
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