{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:40:02Z","timestamp":1754156402756,"version":"3.41.2"},"reference-count":36,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2017,4,10]],"date-time":"2017-04-10T00:00:00Z","timestamp":1491782400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["OIR"],"published-print":{"date-parts":[[2017,4,10]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>This paper reports on a quantitative study of data gathered from the Linked Open Vocabularies (LOV) catalogue, including the use of network analysis and metrics. The purpose of this paper is to gain insights into the structure of LOV and the use of vocabularies in the Web of Data. It is important to note that not all the vocabularies in it are registered in LOV. Given the de-centralised and collaborative nature of the use and adoption of these vocabularies, the results of the study can be used to identify emergent important vocabularies that are shaping the Web of Data.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The methodology is based on an analytical approach to a data set that captures a complete snapshot of the LOV catalogue dated April 2014. An initial analysis of the data is presented in order to obtain insights into the characteristics of the vocabularies found in LOV. This is followed by an analysis of the use of Vocabulary of a Friend properties that describe relations among vocabularies. Finally, the study is complemented with an analysis of the usage of the different vocabularies, and concludes by proposing a number of metrics.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The most relevant insight is that unsurprisingly the vocabularies with more presence are those used to model Semantic Web data, such as Resource Description Framework, RDF Schema and OWL, as well as broadly used standards as Simple Knowledge Organization System, DCTERMS and DCE. It was also discovered that the most used language is English and the vocabularies are not considered to be highly specialised in a field. Also, there is not a dominant scope of the vocabularies. Regarding the structural analysis, it is concluded that LOV is a heterogeneous network.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The paper provides an empirical analysis of the structure of LOV and the relations between its vocabularies, together with some metrics that may be of help to determine the important vocabularies from a practical perspective. The results are of interest for a better understanding of the evolution and dynamics of the Web of Data, and for applications that attempt to retrieve data in the Linked Data Cloud. These applications can benefit from the insights into the important vocabularies to be supported and the value added when mapping between and using the vocabularies.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/oir-06-2015-0183","type":"journal-article","created":{"date-parts":[[2017,4,7]],"date-time":"2017-04-07T06:26:00Z","timestamp":1491546360000},"page":"252-271","source":"Crossref","is-referenced-by-count":6,"title":["Measuring vocabulary use in the Linked Data Cloud"],"prefix":"10.1108","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4951-8102","authenticated-orcid":false,"given":"Alberto","family":"Nogales","sequence":"first","affiliation":[]},{"given":"Miguel","family":"Angel Sicilia-Urban","sequence":"additional","affiliation":[]},{"given":"Elena","family":"Garc\u00eda-Barriocanal","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"year":"2009","article-title":"Describing linked data sets \u2013 on the design and usage of voID, the \u2018vocabulary of interlinked data sets\u2019","key":"key2020120808011724100_ref001"},{"volume-title":"Semantic Web for The Working Ontologist: Effective Modeling in RDFS and OWL","year":"2011","key":"key2020120808011724100_ref002"},{"key":"key2020120808011724100_ref201","first-page":"64","article-title":"A metrics-driven approach for quality assessment of linked open data","volume":"9","year":"2014","journal-title":"Journal of Theoretical and Applied Electronic Commerce Research"},{"year":"2008","article-title":"Weaving SIOC into the web of linked data","key":"key2020120808011724100_ref003"},{"volume-title":"The Semantic Web \u2013 ISWC 2008","year":"2008","article-title":"DogOnt \u2013 ontology modelling for intelligent Domotic environments","key":"key2020120808011724100_ref004"},{"key":"key2020120808011724100_ref026","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1137\/070710111","article-title":"Power-law distributions in empirical data","volume":"51","year":"2009","journal-title":"SIAM Review"},{"volume-title":"Proceedings of the EKAW 2012","year":"2012","article-title":"LODStats - an extensible framework for high-performance dataset analytics","key":"key2020120808011724100_ref202"},{"year":"2013","article-title":"Change-a-LOD: does the schema on the linked data cloud change or not?","key":"key2020120808011724100_ref005"},{"key":"key2020120808011724100_ref006","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1186\/2041-1480-5-14","article-title":"The semantic science integrated ontology (SIO) for biomedical research and knowledge discovery","volume":"5","year":"2014","journal-title":"Journal of Biomedical Semantics"},{"year":"2013","article-title":"LODStats \u2013 large scale data set analytics for Linked Open Data","key":"key2020120808011724100_ref027"},{"year":"2016","article-title":"Computing connected components with linear communication cost in pregel-like systems","key":"key2020120808011724100_ref028"},{"doi-asserted-by":"crossref","unstructured":"Halpin, H., Hayes, P.J., McCusker, J.P., McGuinness, D.L. and Thompson, H.S. 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