DocumentCode
1787302
Title
Does Figure-Text Improve Biomedical Article Retrieval? A Pilot Study
Author
Daekeun You ; Antani, Sameer ; Demner-Fushman, Dina ; Thoma, George R.
Author_Institution
Nat. Libr. of Med., Nat. Inst. of Health, Bethesda, MD, USA
fYear
2014
fDate
27-29 May 2014
Firstpage
471
Lastpage
472
Abstract
Graphical illustrations are often used in biomedical articles to convey statistical results, schematics, etc. They are frequently accompanied with superimposed text annotations, or figure-text. It is generally assumed that this figure-text provides information that complements associated textual metadata, such as the captions, or bibliographic citations for indexing the figures and enhanced retrieval quality. However, to the best of our knowledge nothing in the literature adequately supports the assumption of information gain. In this article, we report the results of a pilot study that compares image retrieval based on figure captions alone to that using figure-text in addition to captions. In the blind study two judges evaluated a set of figures retrieved on the topic of "lung cancer". We find that figure-text could help improve retrieval performance for specific queries.
Keywords
cancer; medical computing; query processing; text analysis; biomedical article retrieval; figure-text; graphical illustration; information gain; lung cancer; retrieval quality; text annotations; Biomedical imaging; Cancer; Image retrieval; Indexing; Libraries; Lungs;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on
Conference_Location
New York, NY
Type
conf
DOI
10.1109/CBMS.2014.95
Filename
6881931
Link To Document