Keyword recommendation methods for earth science data considering hierarchical structure of vocabularies

Toshiyuki Shimizu, Joji Kido, Masatoshi Yoshikawa

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

Abstract

To understand and properly use scientific data, it is important that the metadata, which describes information related to data, contains sufficient information. Keywords are one of the metadata items, and for assigning keywords to the earth science dataset, it is common to select and assign appropriate keywords from a controlled with a hierarchical structure. Keyword information plays an important role in dataset search and classification; however, the cost of selecting appropriate keywords from a controlled is high, and in many cases, a sufficient number of keywords are not actually assigned. In this study, we focus on keyword recommendations for earth science datasets using the definition sentences given to the keywords in the controlled , and propose content-based recommendation methods considering the hierarchical structure in the controlled .

Original languageEnglish
Title of host publicationJCDL 2020 - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages353-356
Number of pages4
ISBN (Electronic)9781450375856
DOIs
Publication statusPublished - Aug 1 2020
Externally publishedYes
Event2020 ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2020 - Virtual, Online, China
Duration: Aug 1 2020Aug 5 2020

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996

Conference

Conference2020 ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2020
Country/TerritoryChina
CityVirtual, Online
Period8/1/208/5/20

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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