Keyword Recommendation Methods for Earth Science Data Considering Hierarchical Structure of Vocabularies

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 vocabulary 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 vocabulary 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 vocabulary, and propose content-based recommendation methods considering the hierarchical structure in the controlled vocabulary.