DocumentCode :
1976765
Title :
Supporting Keyword Selection in Generating Earth Science Metadata
Author :
Shimizu, Tsuyoshi ; Sueki, Tomo ; Yoshikawa, Masatoshi
Author_Institution :
Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan
fYear :
2013
fDate :
22-26 July 2013
Firstpage :
603
Lastpage :
604
Abstract :
Vast amounts of earth science data have been stored and managed in various projects. Because earth science requires considerable experience and expertise, we generally generate metadata for earth science datasets. In such metadata, keyword information is important. Controlled keywords such as GCMD Science Keyword are used for metadata. However, selection of suitable keywords is not easy. We propose methods to suggest keywords from summary texts of datasets. We considered simple string matching and inferring by Labeled LDA, and apply them to the actual earth science metadata.
Keywords :
geophysics computing; inference mechanisms; meta data; pattern matching; soil; GCMD Science Keyword; earth science metadata generation; inference mechanism; keyword selection support; labeled LDA; latent Dirichlet allocation; string matching; Biosphere; Educational institutions; Land surface; Sea surface; Terrestrial atmosphere; controlled keyword; earth science data; metadata;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference (COMPSAC), 2013 IEEE 37th Annual
Conference_Location :
Kyoto
Type :
conf
DOI :
10.1109/COMPSAC.2013.96
Filename :
6649886
Link To Document :
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