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Knowledge Representation & Reasoning · Ongoing

SchemaScope: Mapping and Evaluating Ontologies, Schemas, and Data Standards

SchemaScope is a cross-domain catalog of ontologies, schemas, vocabularies, and data standards. It helps researchers discover resources, compare their maintenance and reuse, and explore how they connect across domains.

SchemaScope: Mapping and Evaluating Ontologies, Schemas, and Data Standards
Ongoing
Mar 26, 2026 - Ongoing

Abstract

SchemaScope is a cross-domain catalog of ontologies, schemas, vocabularies, and data standards. It helps researchers discover resources, compare their maintenance and reuse, and explore how they connect across domains.

Description

Ontologies, schemas, and data standards are developed across many disciplines and maintained by different communities. This makes it difficult to identify the version in use, assess whether a resource is maintained, and understand how it is adopted or reused.

SchemaScope addresses this challenge through a curated catalog and automated evaluations. It currently covers 2,683 resources across 15 domains, with tools to explore domain connections and compare resources. Evaluations consider FAIR-related properties, ontology quality where applicable, maintenance activity, and adoption. Each evaluation records the version assessed and links to supporting evidence, with archived runs that make changes traceable.

The scores are intended to help people assess how easy a resource is to find, trust, and reuse today; they do not measure its scientific value. The catalog is open to contributions, and its data are available in JSON and DCAT JSON-LD.

Research Outputs

Software & Tools (1)

SchemaScope platform

A web application for discovering and comparing ontologies, schemas, vocabularies, and data standards across domains. It automatically evaluates resources for FAIR-related properties, ontology quality where applicable, maintenance, and adoption, and links each evaluation to its evidence. The catalog is available as JSON and DCAT JSON-LD.

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