{"data":{"id":"10.17026/dans-z2n-8et3","type":"dois","attributes":{"doi":"10.17026/dans-z2n-8et3","prefix":"10.17026","suffix":"dans-z2n-8et3","identifiers":[{"identifier":"CNR-People archive 368487","identifierType":":unav"},{"identifier":"easy-dataset:68736","identifierType":":unav"}],"alternateIdentifiers":[{"alternateIdentifierType":":unav","alternateIdentifier":"CNR-People archive 368487"},{"alternateIdentifierType":":unav","alternateIdentifier":"easy-dataset:68736"}],"creators":[{"name":"SG Giannini","nameType":"Personal","affiliation":["CNR-ISTI, Pisa, Italy"],"nameIdentifiers":[]}],"titles":[{"title":"A terminological \"journey\" in the Grey Literature domain"}],"publisher":"DANS Data Station Social Sciences and Humanities","container":{},"publicationYear":2017,"subjects":[{"subject":"Arts and Humanities"},{"subject":"grey literature"},{"subject":"terminological mapping"}],"contributors":[{"name":"S.G. Giannini","nameType":"Personal","affiliation":["National Research Council, Pisa, Italy"],"contributorType":"ContactPerson","nameIdentifiers":[]},{"name":"RB Bartolini (CNR-ILC, Pisa, Italy)","nameType":"Personal","contributorType":"Other","affiliation":[],"nameIdentifiers":[]},{"name":"GP Pardelli (CNR-ILC, Pisa, Italy)","nameType":"Personal","contributorType":"Other","affiliation":[],"nameIdentifiers":[]},{"name":"SG Goggi (CNR-ILC, Pisa, Italy)","nameType":"Personal","contributorType":"Other","affiliation":[],"nameIdentifiers":[]},{"name":"SB Biagioni (CNR-ISTI, Pisa, Italy)","nameType":"Personal","contributorType":"Other","affiliation":[],"nameIdentifiers":[]}],"dates":[{"date":"2017-04-11","dateType":"Issued"},{"date":"2017-03-29","dateType":"Created"},{"date":"2017-03-29","dateType":"Submitted"},{"date":"2017-04-13","dateType":"Available"},{"date":"2026-07-20","dateType":"Updated"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["20278","446553","18476961","24508","611374","1147965","5664","54092","14917","4191","24646","16602356"],"formats":["application/zip","application/pdf","text/tab-separated-values","application/zip","text/tab-separated-values","text/tab-separated-values","text/tab-separated-values","text/tab-separated-values","text/tab-separated-values","text/csv","application/pdf","text/csv"],"version":"2.2","rightsList":[{"rightsUri":"info:eu-repo/semantics/openAccess"},{"lang":"en","rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"\u0026lt;p\u0026gt;Please cite as:\u0026lt;br\u0026gt;Bartolini R., Pardelli G., Goggi S., Giannini S., Biagioni S. A terminological \"journey\" in the Grey Literature domain. In: GL18 - Eighteenth International Conference on Grey Literature: Leveraging Diversity in Grey Literature. (New York, USA, 28-29 November 2016). Proceedings, pp. 117-130. Dominic Farace, Jerry Frantzen (eds.). (GL-Conference series. ISSN: 1385-2308, vol. 18). TextRelease, Amsterdam, The Netherlands, 2017.\u0026lt;/p\u0026gt;\u0026lt;p\u0026gt;The work analyzes a corpus constituted of the entire amount of full research papers published in the GL conference series over a time-span of more than one decade (2003-2014) with the aim of creating a terminological map of relevant words in the various GL research topics. The corpus - made up of 231 research papers was processed using a Natural Language Processing (NLP) tool for term extraction . This tool is what is called a “pipeline” - that is, a sequence of different tools - which extracts lexical knowledge from texts: in short, this is a rule-based system tool for knowledge extraction and document indexing that combines Natural Language Processing (NLP) technologies for term extraction. Within our corpus made of GL articles, this NLP tool extracts a list of single (monograms) and multi-word terms (bigrams and trigrams) ordered by frequency with respect to the context.\u0026lt;/p\u0026gt;","descriptionType":"Abstract"},{"description":"The Python package langdetect was used to semi-automatically identify the languages used in the metadata. Human curators verified and corrected the results. If you notice any inaccuracies, please contact 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