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, more recently, the Linked Data approach, the task to fully exploit these new technologies in the public domain is only commencing. One specific challenge is to transfer techniques developed pre-web to order our knowledge into the realm of Linked (Open) Data. This paper illustrates two different models in which a general analytico-synthetic classification can be published and made available as linked data. In both cases, a linked data solution deals with the intricacies of a pre-coordinated indexing language: the Universal Decimal Classification (UDC) and the Basic Concepts Classification (BCC).
|Title of host publication||Knowledge Organization at the Interface|
|Subtitle of host publication||Proceedings of the Sixteenth International ISKO Conference, 2020 Aalborg, Denmark|
|Editors||Marianne Lykke, Tanja Svarre, Daniel Martínez-Ávila|
|Publication status||Published - 2020|
|Name||Advances in Knowledge Organization|
- Linked Open Data