{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:28:07Z","timestamp":1777854487816,"version":"3.51.4"},"reference-count":26,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2019,5,21]],"date-time":"2019-05-21T00:00:00Z","timestamp":1558396800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:p>During various learning activities, teachers and students need to clarify, explore and share their understanding of reading materials. For doing this, they must make explicit the mental representation constructed during the reading process. In this article, we propose an approach combining semantic annotations and semantic networks as formal means for elicitation, structuring, formalisation, analysis and sharing of teachers\u2019 and students\u2019 understanding of textual materials that they are asked to read in learning tasks. In the proposed approach, teachers can create learning tasks, in which students are asked to semantically annotate a text by associating portions of it to resources described in a Knowledge Base (KB) in accordance with a provided ontology. New instances can be created by students or teachers in the KB during the annotation process. We show how semantic networks can be used to visualise extracts of the resulting KB, and to help people organise their comprehension of texts. In addition, teachers can assess student evolution by analysing the semantic networks that each one produces during the reading and annotation process. This approach is implemented by using our annotation tool, integrated with a digital repository and a virtual learning environment. An empirical evaluation of the benefits of the proposed approach in a literature case study confirms that it facilitates information extraction, sharing and analysis, contributing to leverage teaching and learning.<\/jats:p>","DOI":"10.1177\/0165551519849514","type":"journal-article","created":{"date-parts":[[2019,5,21]],"date-time":"2019-05-21T09:14:43Z","timestamp":1558430083000},"page":"528-543","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Capture and visualisation of text understanding through semantic annotations and semantic networks for teaching and learning"],"prefix":"10.1177","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5067-0406","authenticated-orcid":false,"given":"Roberto","family":"Willrich","sequence":"first","affiliation":[{"name":"Department of Computer Science and Statistics (INE-PPGCC), Federal University of Santa Catarina, Brazil"}]},{"given":"Adiel","family":"Mittmann","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Statistics (INE-PPGCC), Federal University of Santa Catarina, Brazil"}]},{"given":"Renato","family":"Fileto","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Statistics (INE-PPGCC), Federal University of Santa Catarina, Brazil"}]},{"given":"Alckmar Luiz","family":"dos Santos","sequence":"additional","affiliation":[{"name":"Center for Research in Informatics, Literature and Linguistics (NUPILL) Federal University of Santa Catarina, Brazil"}]}],"member":"179","published-online":{"date-parts":[[2019,5,21]]},"reference":[{"key":"bibr1-0165551519849514","doi-asserted-by":"publisher","DOI":"10.3102\/00346543056004411"},{"key":"bibr2-0165551519849514","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-4115(08)61551-4"},{"key":"bibr3-0165551519849514","doi-asserted-by":"publisher","DOI":"10.1177\/2372732215624707"},{"key":"bibr4-0165551519849514","doi-asserted-by":"publisher","DOI":"10.5212\/PraxEduc.v.5i1.009029"},{"key":"bibr5-0165551519849514","doi-asserted-by":"publisher","DOI":"10.1016\/0898-1221(92)90135-5"},{"key":"bibr6-0165551519849514","first-page":"31","volume-title":"Cognitive support for learning: imagining the unknown","author":"Gulmans J","year":"2004"},{"key":"bibr7-0165551519849514","doi-asserted-by":"publisher","DOI":"10.1002\/047003033X"},{"key":"bibr8-0165551519849514","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2013.08.004"},{"key":"bibr9-0165551519849514","volume-title":"What are semantic annotations","author":"Oren E","year":"2006"},{"key":"bibr10-0165551519849514","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-92913-0_3"},{"key":"bibr11-0165551519849514","doi-asserted-by":"publisher","DOI":"10.1177\/0165551506072164"},{"key":"bibr12-0165551519849514","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-4666-0185-7.ch005"},{"key":"bibr13-0165551519849514","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.02.178"},{"key":"bibr14-0165551519849514","volume-title":"An annotation framework for the semantic web","author":"Staab S","year":"2001"},{"key":"bibr15-0165551519849514","unstructured":"Chakravarthy A, Ciravegna F, Lanfranchi V. Cross-media document annotation and enrichment. In: Proceedings of the 1st semantic authoring and annotation workshop, 5th international semantic web conference (ISWC 2006), Athens, 2006, https:\/\/www.researchgate.net\/publication\/228820625_V_Cross-media_document_annotation_and_enrichment"},{"key":"bibr16-0165551519849514","unstructured":"Benjamins V, Contreras J, Bl\u00e1zquez M, et al. ONTO-H: a collaborative semiautomatic annotation tool. In: Proceedings of the 8th international prot\u00e9g\u00e9 conference collaborative development of ontologies and applications, Madrid, 2005, pp. 69\u201372, https:\/\/protege.stanford.edu\/conference\/2005\/submissions\/abstracts\/accepted-abstract-benjamins.pdf"},{"key":"bibr17-0165551519849514","first-page":"273","volume-title":"Proceedings of the conference of the North American chapter of the association for computational linguistics on human language technology: companion volume: demonstrations, NAACL-demonstrations \u201806","author":"Ogren PV"},{"key":"bibr18-0165551519849514","doi-asserted-by":"publisher","DOI":"10.1177\/0165551516642688"},{"key":"bibr19-0165551519849514","unstructured":"Grassi M, Morbidoni C, Nucci M, et al. Pundit: semantically structured annotations for web contents and digital libraries. 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