Towards Algebraic Mapping Operators for Knowledge Graph Construction

In Proceedings of the 22nd International Semantic Web Conference: Posters and Demos (2023)

Declarative knowledge graph construction has matured to the point where state of the art techniques are focusing on optimizing the mapping processes. However, these optimization techniques use the syntax of the mapping language without considering the impact of the semantics. As a result, it is difficult to compare different engines fairly due to the obscurity in their semantic differences. In this poster paper, we propose an initial set of algebraic mapping operators to define the operational semantics of mapping processes, and provide a first step towards a theoretical foundation for mapping languages. We translated a series of RML documents to algebraic mapping operators to show the feasibility of our approach. We believe that further pursuing these initial results will lead to greater interoperability of mapping engines and languages, intensify requirements analysis for the upcoming RML standardization work, and an improved developer experience for all current and future mapping engines.