Knowledge organization deals, among other things, with the development of documentary languages (knowledge organization systems such as subject headings, thesauri, SKOSs, classification languages, index lists, etc.) that make the processing and retrieval of data, information and knowledge easier. However, techniques of artificial intelligence allow big data resources to be searched for hidden patterns. The role of documentary languages is easily obscured in a world of big data. Is knowledge organization still relevant in the age of big data? (Hjørland, 2012; Soergel, 2015; Ibekwe-SanJuan & Bowker, 2017). Yet the idea of Linked Open Data (LOD) depends on databases being coded in terms of RDF triples: Computers can only draw inferences across databases if the terminology employed in RDF triples is the same or at least interoperable. The promise of Linked Open Data may well depend on the ability of documentary languages to provide a common vocabulary for RDF triples (Szostak et al. 2018).
This special issue aspires to take stock of the present state and future prospects for the application of documentary languages in the world of Big Open Linked Data (BOLD). What role do documentary languages play inBOLD? How has this role changed in recent years? What opportunities might be pursued in future? What are the particular needs that documentary languages could serve at this historical moment?
Possible topics include (but are not limited to) the following:
This list is far from prescriptive. We wish to open up the issue to reflections, theories, empirical studies, programmatic articles, and literature reviews on the topic.
The special issue is co-edited by Rick Szostak (University of Alberta, Canada) and Daniel Martínez-Ávila (São Paulo State University – UNESP, Marilia, Brazil).
Style guidelines for Education for Information are available here:
Submissions are due 15th of August, 2019 and should be done via the journal’s online submission system: https://mstracker.com/submit_0.php.
Please state in the cover letter that your submission is for the Special Issue on Documentary Languages in the Big Open Linked Data (BOLD) Era.
Submissions will be double-blind peer-reviewed.
Hjørland, B. (2012). Is Classification Necessary after Google? Journal of Documentation, 68, 299-317
Ibekwe-SanJuan, F., Bowker, G.C. (2017). Implications of Big Data for Knowledge Organization. Knowledge Organization, 44, 187-198.
Soergel, D. (2015). Unleashing the Power of Data through Organization: Structure and Connections for Meaning, Learning and Discovery. Knowledge Organization, 42, 401-427.
Szostak, R., Scharnhorst, A., Beek, W., Smiraglia, R. (2018). Connecting KOSs and the LOD Cloud. In Ribeiro, Fernanda and Cerveira, Maria Elisa (eds.), Challenges and Opportunities for Knowledge Organization in the Digital Age. Proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018 Porto, Portugal. Würzburg: Ergon.
About the journal
Founded in 1983, Education for information (EFI) is a quarterly refereed academic journal publishing research articles on issues related to the teaching and learning of informationscientists and professionals for an information society. EFI welcomes a broad perspective on issues related to pedagogy and learning in the information and communication disciplines (ICD) such as Library and Information Science, Communication and Media studies, Journalism, Archival studies, Museum studies, Psychology, Cognitive science and Digital Humanities.
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-- ---------------------------------------- Fidelia Ibekwe (Ph.D.) Full Professor - School of Journalism & Communication (EJCAM) Aix-Marseille University - France. https://ejcam.univ-amu.fr/en Homepage: http://fidelia1.free.fr/ IMSIC research team: www.imsic.fr Editor in chief Education for Information, IOS Press http://www.iospress.nl/journal/education-for-information/ Google Scholar: https://scholar.google.fr/citations?user=-A8QJv8AAAAJ&hl=en -----------------------------------------
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