Classifications as Linked Open Data. Challenges and Opportunities (Chapter 2)

Autor: Szostak, Rick, Smiraglia, Richard P., Scharnhorst, Andrea, Slavic, Aida, Martínez-Ávila, Daniel, Renwick, Tobias

Publikováno v: Linking Knowledge: Linked Open Data for Knowledge Organization and Visualization, 24-33
STARTPAGE=24;ENDPAGE=33;TITLE=Linking Knowledge

Linked Data (LD) as a web-based technology enables in principle the seamless, machine-supported integration, interplay and augmentation of all kinds of knowledge, into what has been labeled a huge knowledge graph. Despite decades of web technology an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::5cc589df3cbf98c5148815ebaa1fd0e9
https://pure.knaw.nl/portal/en/publications/cceaca88-755c-4e2f-894d-9762d332171e

Classifications as Linked Open Data: Challenges and Opportunities

Autor: Szostak, Rick, Smiraglia, Richard P., Scharnhorst, Andrea, Siebes, Ronald, Slavic, Aida, Ávila, Daniel Martínez, Renwick, Tobias, Lykke, Marianne, Svarre, Tanja, Martínez-Ávila, Daniel

Publikováno v: Knowledge Organization at the Interface: Proceedings of the Sixteenth International ISKO Conference, 2020 Aalborg, Denmark, 436-455
ISSUE=2020;STARTPAGE=436;ENDPAGE=455;TITLE=Knowledge Organization at the Interface

Linked Data (LD) as a web-based technology enables in principle the seamless, machine-supported integration, interplay and augmention of all kinds of knowledge, into what has been labeled a huge knowledge graph. Despite decades of web technology and,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27ed9d1305660f607ed95eec1b858878
https://pure.knaw.nl/portal/en/publications/81729a93-09ee-41d3-a22c-4fdb352c7166