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Improving Earth Science dataset search with publications content via Knowledge Graph linkage

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posted on 29.07.2021, 14:33 by Kristina Stoyanova, Irina Gerasimov, Armin Mehrabian, Jennifer Wei, Mohammad Khayat
Title: "Improving Earth Science dataset search with publications content via Knowledge Graph linkage"

Abstract: The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) archives a large number of Earth observational datasets. Thousands of the publications are created each year based on these datasets. The content of these publications can be used for discovery of the datasets based on the characteristics of applicational research. We leverage the content of these publications to retrieve the information about phenomena and domains where measurements from the datasets were utilized through linking these publications and dataset in Knowledge Graph. We retrieve phenomena and domain information using SWEET (Semantic Web for Earth and Environmental Terminology) ontology and produce the set of keywords that are linked to the datasets. Further, we evaluate this link strength according to the frequency of dataset usage in the papers mentioning these keywords. We demonstrate how this linkage can improve dataset search by comparing the search results obtained from the Common Metadata Repository (CMR) search and publications based data.

This poster was presented at the ESIP Summer Meeting held virtually in July 2021.


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