  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 and, more recently, the LD approach, the task to
fully exploit these new technologies in the public domain is only commencing.
One specific challenge is to transfer techniques developed preweb to order our
knowledge into the realm of Linked Open Data (LOD) This paper illustrates two
different models in which a general analytico--synthetic classification can be
published and made available as LD. In both cases, an LD solution deals with
the intricacies of a pre--coordinated indexing language.
