Paper accepted for KGSWC 2022

Our paper “Easy and complex: new perspectives for metadata modeling using RDF-star and Named Graphs” just got accepted for the Knowledge Graph and Semantic Web Conference. The research emerged collaboratively from the CAIUS and the Judaicalink project.

The paper presents three patterns for meta-layer modeling using RDF-star and Named Graphs.

Here is the full abstract:

The Resource Description Framework is well-established as a lingua franca for data modeling and is designed to integrate heterogeneous data at instance and schema level using statements. While RDF is conceptually simple, data models nevertheless get complex, when complex data needs to be represented. Additional levels of indirection with intermediate resources instead of simple properties lead to higher barriers for prospective users of the data. Based on three patterns, we argue that shifting information to a meta-level can not only be used to (1) provide provenance information, but can also help to (2) maintain backwards compatibility for existing models, and to (3) reduce the complexity of a data model. There are, however, multiple ways in RDF to use a meta-level, i.e., to provide additional statements about statements. With Named Graphs, there exists a well-established mechanism to describe groups of statements. Since its inception, however, it has been hard to make statements about single statements. With the introduction of RDF-star, a new way to provide data about single statements is now available. We show that the combination of RDF-star and Named Graphs is a viable solution to express data on a meta-level and propose that this meta-level should be used as first class citizen in data modeling.

Author: Florian Rupp
Date: Wed, 28 Sep 2022