RDFandmebaaside

RDFandmebaaside is a conceptual framework that combines the Resource Description Framework (RDF) with a modular architecture called mebaaside. It is intended to enable scalable, semantically rich data integration across distributed systems by pairing RDF’s graph-based data modeling with a sidecar-style set of components that process, annotate, and enrich data alongside a primary data store.

In this model, the RDF layer handles schema, ontology management, and queryable graphs, while the mebaaside layer comprises independent services that operate in parallel to perform transformations, provenance capture, access control, enrichment, and event-driven processing. The mebaaside components are designed to be loosely coupled, pluggable, and stateful, allowing organizations to add or replace functionality without disrupting the core RDF store.

Architecturally, data typically flows from ingestion through an RDF store or triplestore, with mebaaside modules subscribing to events to perform tasks such as entity resolution, metadata enrichment, or license and provenance tagging. Interactions can occur via SPARQL endpoints, RDF serializations (e.g., Turtle, JSON-LD), and REST or gRPC interfaces exposed by the mebaaside services. The framework emphasizes interoperability, standard RDF tooling, and a clear separation of concerns between data storage and data processing.

Potential applications include knowledge graphs, linked data portals, multilingual data integration, and federated data ecosystems where modular processing and provenance are important. RDFandmebaaside is discussed in speculative or early-stage literature as a way to extend RDF with flexible, sidecar processing capabilities, though it has no formal standardization or widespread formal adoption at present.