{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T03:53:25Z","timestamp":1760586805441,"version":"3.41.2"},"reference-count":33,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2016,7,4]],"date-time":"2016-07-04T00:00:00Z","timestamp":1467590400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,7,4]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 The purpose of this paper is to present a new approach toward automatically visualizing Linked Open Data (LOD) through metadata analysis. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 By focussing on the data within a LOD dataset, the authors can infer its structure in a much better way than current approaches, generating more intuitive models to progress toward visual representations. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 With no technical knowledge required, focussing on metadata properties from a semantically annotated dataset could lead to automatically generated charts that allow to understand the dataset in an exploratory manner. Through interactive visualizations, users can navigate LOD sources using a natural approach, in order to save time and resources when dealing with an unknown resource for the first time. <\/jats:p>\n <\/jats:sec>\n \n Research limitations\/implications<\/jats:title>\n \u2013 This approach is suitable for available SPARQL endpoints and could be extended for resource description framework dumps loaded locally. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 Most works dealing with LOD visualization are customized for a specific domain or dataset. This paper proposes a generic approach based on traditional data visualization and exploratory data analysis literature.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/prog-12-2015-0079","type":"journal-article","created":{"date-parts":[[2016,6,8]],"date-time":"2016-06-08T10:31:04Z","timestamp":1465381864000},"page":"270-287","source":"Crossref","is-referenced-by-count":8,"title":["Exploring LOD through metadata extraction and data-driven visualizations"],"prefix":"10.1108","volume":"50","author":[{"given":"Oscar","family":"Pe\u00f1a","sequence":"first","affiliation":[]},{"given":"Unai","family":"Aguilera","sequence":"additional","affiliation":[]},{"given":"Diego","family":"L\u00f3pez-de-Ipi\u00f1a","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2020121421444078700_b18","unstructured":"Alexander, K.\n , \n Cyganiak, R.\n , \n Hausenblas, M.\n and \n Zhao, J.\n (2009), \u201cDescribing linked datasets \u2013 on the design and usage of voiD, the 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