XMLサンプル:e-learning

目次リファレンス# XMLサンプル
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content_classification     <content_classification>04</content_classification>
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site_id     <site_id>SI/JST.JaLC</site_id>
content     <content sequence="001">
doi       <doi>10.11502/e-learning_example-doi</doi>
url       <url>https://japanlinkcenter.org/example.html</url>
title_list       <title_list>
titles         <titles lang="ja">
series_title           <series_title>未来技術シリーズ</series_title>
title           <title>次世代AIと機械学習</title>
subtitle           <subtitle>基礎から応用まで学ぶオンラインコース</subtitle>
        </titles>
titles         <titles lang="en">
series_title           <series_title>Future Technology Series</series_title>
title           <title>Next-Generation AI and Machine Learning</title>
subtitle           <subtitle>An Online Course Covering Fundamentals to Applications</subtitle>
        </titles>
      </title_list>
creator_list       <creator_list>
creator         <creator sequence="1" type="person">
names           <names lang="ja">
last_name             <last_name>山田</last_name>
first_name             <first_name>一郎</first_name>
prefix             <prefix>Mr</prefix>
suffix             <suffix>Jr</suffix>
          </names>
names           <names lang="en">
last_name             <last_name>Yamada</last_name>
first_name             <first_name>Ichiro</first_name>
prefix             <prefix>Mr</prefix>
suffix             <suffix>Jr</suffix>
          </names>
affiliations           <affiliations>
affiliation             <affiliation sequence="1">
affiliation_name               <affiliation_name lang="ja">東京大学</affiliation_name>
affiliation_name               <affiliation_name lang="en">The University of Tokyo</affiliation_name>
affiliation_identifier               <affiliation_identifier type="ROR" scheme_uri="https://ror.org/">https://ror.org/057zh3y96</affiliation_identifier>
            </affiliation>
affiliation             <affiliation sequence="2">
affiliation_name               <affiliation_name lang="ja">東京研究所</affiliation_name>
affiliation_name               <affiliation_name lang="en">Tokyo Research Institute</affiliation_name>
affiliation_identifier               <affiliation_identifier type="ROR" scheme_uri="https://ror.org/">https://ror.org/123xy4z95</affiliation_identifier>
            </affiliation>
          </affiliations>
researcher_id           <researcher_id>
id_code             <id_code type="ORCID">https://orcid.org/0000-1111-2222-3333</id_code>
          </researcher_id>
        </creator>
creator         <creator sequence="2" type="institute">
names           <names lang="ja">
first_name             <first_name>AI技術共同研究プロジェクト</first_name>
          </names>
names           <names lang="en">
first_name             <first_name>AI Technology Joint Research Project</first_name>
          </names>
affiliations           <affiliations>
affiliation             <affiliation sequence="1">
affiliation_name               <affiliation_name lang="ja">AI先端科学技術センター</affiliation_name>
affiliation_name               <affiliation_name lang="en">AI Advanced Science and Technology Center</affiliation_name>
affiliation_identifier               <affiliation_identifier type="ROR" scheme_uri="https://ror.org/">https://ror.org/abc123xyz</affiliation_identifier>
            </affiliation>
affiliation             <affiliation sequence="2">
affiliation_name               <affiliation_name lang="ja">人口知能未来研究所</affiliation_name>
affiliation_name               <affiliation_name lang="en">Artificial Intelligence Future Research Institute</affiliation_name>
affiliation_identifier               <affiliation_identifier type="ROR" scheme_uri="https://ror.org/">https://ror.org/xyz789abc</affiliation_identifier>
            </affiliation>
          </affiliations>
        </creator>
      </creator_list>
publication_date       <publication_date>
year         <year>2025</year>
month         <month>01</month>
day         <day>05</day>
      </publication_date>
publisher       <publisher>
publisher_name         <publisher_name lang="ja">知能未来出版</publisher_name>
location         <location>JPN</location>
      </publisher>
edition       <edition>
variation         <variation>最終版</variation>
version         <version>2.1</version>
format         <format>application/pdf</format>
      </edition>
relation_list       <relation_list>
related_content         <related_content type="DOI" relation="IsNewVersionOf">10.5438/0005</related_content>
      </relation_list>
alternate_identifier       <alternate_identifier type="JST">93814371</alternate_identifier>
content_language       <content_language>ja</content_language>
rights       <rights uri="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</rights>
description       <description type="Other" lang="ja">このe-learningコースでは、機械学習の基礎を学びます。アルゴリズムや実際のアプリケーションに関する概念を紹介し、実践的な例を通じて理解を深めます。</description>
keyword_list       <keyword_list>
keyword         <keyword sequence="1" lang="ja">深層学習</keyword>
keyword         <keyword sequence="2" lang="en">Deep Learning</keyword>
      </keyword_list>
learning_resource_type       <learning_resource_type>exercise</learning_resource_type>
fund_list       <fund_list>
fund         <fund>
funder_name           <funder_name lang="ja">科学技術振興機構</funder_name>
funder_identifier           <funder_identifier type="ROR">https://ror.org/00097mb19</funder_identifier>
funder_identifier           <funder_identifier type="FundRef">https://doi.org/10.13039/501100002241</funder_identifier>
award_number_group           <award_number_group>
award_number             <award_number type="GRANT_DOI">https://doi.org/10.35802/221400JPMJCR16O4</award_number>
award_number             <award_number>1234ABX567</award_number>
          </award_number_group>
        </fund>
fund         <fund>
funder_name           <funder_name lang="en">Japan Science and Technology Agency</funder_name>
funder_identifier           <funder_identifier type="ROR">https://ror.org/00097mb19</funder_identifier>
funder_identifier           <funder_identifier type="FundRef">https://doi.org/10.13039/501100002241</funder_identifier>
award_number_group           <award_number_group>
award_number             <award_number type="GRANT_DOI">https://doi.org/10.35802/221400JPMJCR16O4</award_number>
award_number             <award_number>1234ABX567</award_number>
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