D4.4 - LDES-based Web Indexes

This document details the technical execution of the reference architecture proposed in Deliverable 4.1, moving from conceptual design to the deployment of operational pipelines for the Marine Regions, WoRMS, and EurOBIS datasets. By leveraging Linked Data Event Streams (LDES) as a sustainable, low-maintenance primary API , we utilize the RDF-Connect framework and Smart Data Streams (SDS)specifications to continuously ingest and transform these raw streams into optimized, queryable TREE Web Indexes. This implementation validates the project's architectural goals by demonstrating how reusable building blocks—such as LDES connectors and specialized bucketizers—can decouple data publishing from consumption, allowing for the flexible creation of high-performance query interfaces without imposing additional infrastructure costs on data owners.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-13
DOI
https://doi.org/10.5281/zenodo.18229740
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
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article

D4.4 - LDES-based Web Indexes

Julián Andrés Rojas
Zenodo (CERN European Organization for Nuclear Research)
Semantic Web and Ontologies
article

D4.4 - LDES-based Web Indexes

Julián Andrés Rojas
article en

Abstract

This document details the technical execution of the reference architecture proposed in Deliverable 4.1, moving from conceptual design to the deployment of operational pipelines for the Marine Regions, WoRMS, and EurOBIS datasets. By leveraging Linked Data Event Streams (LDES) as a sustainable, low-maintenance primary API , we utilize the RDF-Connect framework and Smart Data Streams (SDS)specifications to continuously ingest and transform these raw streams into optimized, queryable TREE Web Indexes. This implementation validates the project's architectural goals by demonstrating how reusable building blocks—such as LDES connectors and specialized bucketizers—can decouple data publishing from consumption, allowing for the flexible creation of high-performance query interfaces without imposing additional infrastructure costs on data owners.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 89%
Semantic Web and Ontologies
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