{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:15:57Z","timestamp":1754158557502,"version":"3.41.2"},"reference-count":17,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T00:00:00Z","timestamp":1674691200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["EL"],"published-print":{"date-parts":[[2023,2,2]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>This study aims to explore the reusing of Dublin core metadata initiative (DCMI) metadata terms on the linked open vocabulary (LOV) platform in the linked data environment to offer a better understanding of the reusing behaviour during the process of vocabulary construction and further explain why DC has become a popular vocabulary.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The authors selected LOV, as a typical linked data platform. The SPARQL language was used to acquire and parse data to examine the reuse types of DCMI terms, the reuse distribution of classes and properties in different semantic relation types among vocabularies, the subject and size of the reused vocabularies and the correlation between vocabulary reuse and data set reuse.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Results showed that DCMI metadata terms were reused by 83.7% of LOV vocabularies and became the core nodes on the vocabulary-linked network. Among the six relationships between vocabularies and the DCMI metadata terms, the metadata relationship is the most frequently used. DCMI metadata terms are reused by small- and medium-sized vocabularies and are not limited to subject domain.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>This is one of the first studies focussing on the roles of DCMI metadata terms in vocabulary reusing. Furthermore, it provides a systematic view of how these DCMI terms participate in the construction of other vocabularies and in features of reused vocabularies.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/el-10-2022-0228","type":"journal-article","created":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T00:38:16Z","timestamp":1674607096000},"page":"152-165","source":"Crossref","is-referenced-by-count":1,"title":["The reuse of DCMI metadata terms in linked open vocabulary"],"prefix":"10.1108","volume":"41","author":[{"given":"Aimin","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingjun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junzhi","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2023,1,26]]},"reference":[{"year":"2014","key":"key2023032812280866300_ref001","article-title":"Information content based ranking metric for linked open vocabularies"},{"year":"2004","key":"key2023032812280866300_ref002","article-title":"Dublin core metadata initiative: practices, policies and models"},{"issue":"1","key":"key2023032812280866300_ref003","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1108\/07378831211213256","article-title":"Libraries, languages of description, and linked data: a Dublin core perspective","volume":"30","year":"2012","journal-title":"Library Hi Tech"},{"key":"key2023032812280866300_ref004","unstructured":"Dublin Core (2020), \u201cDCMI metadata terms\u201d, available at: www.dublincore.org\/specifications\/dublin-core\/dcmi-terms\/ (accessed at 11 June 2022)."},{"year":"2015","key":"key2023032812280866300_ref005","article-title":"Datavore: a vocabulary recommender tool assisting linked data modelling"},{"year":"2011","key":"key2023032812280866300_ref006","article-title":"Towards green linked data"},{"first-page":"378","article-title":"Metadata management of open access resources in language and literature","year":"2009","key":"key2023032812280866300_ref007"},{"issue":"3","key":"key2023032812280866300_ref008","first-page":"166","article-title":"Analysis of LOV vocabulary features and network structure","volume":"39","year":"2020","journal-title":"Information 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tools"},{"year":"2014","key":"key2023032812280866300_ref013","article-title":"Survey on common strategies of vocabulary reuse in linked open data modeling"},{"issue":"12","key":"key2023032812280866300_ref014","first-page":"40","article-title":"Annual progress of DC metadata","volume":"79","year":"2010","journal-title":"Library Journal"},{"volume-title":"Linked Data: Structured Data on the Web","year":"2018","key":"key2023032812280866300_ref015"},{"issue":"4","key":"key2023032812280866300_ref016","first-page":"103","article-title":"The analysis of the British library\u2019s linked bibliographic data","volume":"24","year":"2015","journal-title":"Journal of the National Library of China"},{"issue":"11","key":"key2023032812280866300_ref017","first-page":"24","article-title":"Annual progress of DC metadata","volume":"30","year":"2006","journal-title":"Digital Library Forum"}],"container-title":["The Electronic 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