Towards a Linked Open Data Representation of a Grammar Terms Index

In this paper, we report ongoing work on HyperGramm, a Linked Open Data set of German grammar terms. HyperGramm is based on a print-oriented, manually created resource containing different types of internal and external linking relations that are either explicitly marked by formatting or only implicitly encoded in the language. The initial aim of the HyperGramm resource was the on-line visualization of the terms. However, because this resource could be used in a variety of other scenarios, both for research and learning purposes, it is desirable for the representation to capture as much information as possible about the internal structure of the original resource. We first motivate the data's conversion into an intermediate, well-defined XML presentation, which serves as the basis for the RDF modeling. Subsequently, we detail the RDF model and demonstrate how it allows us to encode the internal structure and the linking mechanisms in an explicit and interoperable fashion. In addition, we discuss the possible integration of HyperGramm into the LOD Cloud.