{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T12:05:26Z","timestamp":1779278726155,"version":"3.51.4"},"reference-count":37,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2014,9,9]],"date-time":"2014-09-09T00:00:00Z","timestamp":1410220800000},"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":[[2014,9,9]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 The growing volumes of semantic data available in the web result in the need for handling the information overload phenomenon. The potential of this amount of data is enormous but in most cases it is very difficult for users to visualize, explore and use this data, especially for lay-users without experience with Semantic Web technologies. The paper aims to discuss these issues. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 The Visual Information-Seeking Mantra \u201cOverview first, zoom and filter, then details-on-demand\u201d proposed by Shneiderman describes how data should be presented in different stages to achieve an effective exploration. The overview is the first user task when dealing with a data set. The objective is that the user is capable of getting an idea about the overall structure of the data set. Different information architecture (IA) components supporting the overview tasks have been developed, so they are automatically generated from semantic data, and evaluated with end-users. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 The chosen IA components are well known to web users, as they are present in most web pages: navigation bars, site maps and site indexes. The authors complement them with Treemaps, a visualization technique for displaying hierarchical data. These components have been developed following an iterative User-Centered Design methodology. Evaluations with end-users have shown that they get easily used to them despite the fact that they are generated automatically from structured data, without requiring knowledge about the underlying semantic technologies, and that the different overview components complement each other as they focus on different information search needs. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 Obtaining semantic data sets overviews cannot be easily done with the current semantic web browsers. Overviews become difficult to achieve with large heterogeneous data sets, which is typical in the Semantic Web, because traditional IA techniques do not easily scale to large data sets. There is little or no support to obtain overview information quickly and easily at the beginning of the exploration of a new data set. This can be a serious limitation when exploring a data set for the first time, especially for lay-users. The proposal is to reuse and adapt existing IA components to provide this overview to users and show that they can be generated automatically from the thesaurus and ontologies that structure semantic data while providing a comparable user experience to traditional web sites.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/ajim-12-2013-0153","type":"journal-article","created":{"date-parts":[[2014,11,15]],"date-time":"2014-11-15T19:27:31Z","timestamp":1416079651000},"page":"519-536","source":"Crossref","is-referenced-by-count":6,"title":["User-centered design and evaluation of overview components for semantic data exploration"],"prefix":"10.1108","volume":"66","author":[{"given":"Josep","family":"Maria Brunetti","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roberto","family":"Garc\u00eda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020122902140329700_b1","unstructured":"Alexander, K.\n                and \n                  Hausenblas, M.\n                (2009), \u201cDescribing linked datasets \u2013 on the design and usage of void, the vocabulary of interlinked datasets\u201d, \u2018Linked Data on the Web Workshop (LDOW\u201909)\u2019, Conjunction with 18th International World Wide Web Conference (WWW\u201909), Madrid, April 20."},{"key":"key2020122902140329700_b2","unstructured":"Ara\u00fajo, S.F.C.\n               , \n                  Schwabe, D.\n                and \n                  Barbosa, S.D.J.\n                (2009), \u201cExperimenting with explorator: a direct manipulation generic RDF browser and querying tool\u201d, Workshop on Visual Interfaces to the Social and the Semantic Web (VISSW2009), Sanibel Island, February 8."},{"key":"key2020122902140329700_b3","unstructured":"Barlow, S.T.\n                and \n                  Neville, P.\n                (2001), \u201cA comparison of 2D visualizations of hierarchies\u201d, INFOVIS, pp. 131-138."},{"key":"key2020122902140329700_b4","doi-asserted-by":"crossref","unstructured":"Becker, C.\n                and \n                  Bizer, C.\n                (2009), \u201cExploring the geospatial semantic Web with DBpedia mobile\u201d, Journal of Web Semantics: Science, Services and Agents on the World Wide Web, Vol. 7 No. 4, pp. 278-286.","DOI":"10.1016\/j.websem.2009.09.004"},{"key":"key2020122902140329700_b5","unstructured":"Berners-Lee, T.\n               , \n                  Chen, Y.\n               , \n                  Chilton, L.\n               , \n                  Connolly, D.\n               , \n                  Dhanaraj, R.\n               , \n                  Hollenbach, J.\n               , \n                  Lerer, A.\n                and \n                  Sheets, D.\n                (2006), \u201cTabulator: exploring and analyzing linked data on the semantic web\u201d, Proceedings of the 3rd International Semantic Web User Inter-Action Workshop, Athens, November 6."},{"key":"key2020122902140329700_b6","unstructured":"Bojars, U.\n               , \n                  Passant, A.\n               , \n                  Giasson, F.\n                and \n                  Breslin, J.\n                (2007), \u201cAn architecture to discover and query decentralized RDF data\u201d, CEUR Workshop Proceedings ISSN 1613-0073, Vol. 248, Innsbruck, May 30."},{"key":"key2020122902140329700_b7","doi-asserted-by":"crossref","unstructured":"Brunetti, J.\n               , \n                  Garcia, R.\n                and \n                  Auer, S.\n                (2013), \u201cFrom overview to facets and pivoting for interactive exploration of semantic web data\u201d, International Journal of Semantic Web and Information Systems, Vol. 9 No. 1, pp. 1-20.","DOI":"10.4018\/jswis.2013010101"},{"key":"key2020122902140329700_b8","unstructured":"Card, S.K.\n               , \n                  Mackinlay, J.D.\n                and \n                  Shneiderman, B.\n                (1999), Readings in Information Visualization: Using Vision to Think, Academic Press, London."},{"key":"key2020122902140329700_b9","doi-asserted-by":"crossref","unstructured":"Dadzie, A.-S.\n                and \n                  Rowe, M.\n                (2011), \u201cApproaches to visualising linked data: a survey\u201d, Semantic Web, Vol. 2 No. 2, pp. 89-124.","DOI":"10.3233\/SW-2011-0037"},{"key":"key2020122902140329700_b10","doi-asserted-by":"crossref","unstructured":"Elmqvist, N.\n                and \n                  Fekete, J.-D.\n                (2010), \u201cHierarchical aggregation for information visualization: overview, techniques, and design guidelines\u201d, IEEE Trans. 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