The Center for Artificial Intelligence Research Nepal (CAIR-Nepal) is pleased to announce the launch of SchemaScope, a new initiative aimed at improving the discovery, evaluation, and reuse of ontologies, schemas, controlled vocabularies, and data standards across scientific and technical domains.
As research data and AI systems become increasingly interconnected, identifying suitable semantic resources remains a significant challenge. Existing ontologies and schemas are often scattered across repositories, making them difficult to discover, compare, and reuse.
SchemaScope addresses these challenges through a unified, cross-domain catalog of semantic resources, supporting systematic discovery, exploration, and evaluation. The platform brings together resources from disciplines including life sciences, healthcare, neuroscience, engineering, environmental sciences, and cultural heritage.
The initiative aligns with CAIR-Nepal's commitment to advancing open science, semantic interoperability, and accessible AI research infrastructure. By facilitating the reuse of machine-readable knowledge models, SchemaScope aims to support knowledge graph development, interdisciplinary research, and AI-driven scientific discovery.
Through this initiative, CAIR-Nepal seeks to contribute to the development of more connected, reusable, and interoperable research ecosystems.
Explore SchemaScope: https://www.schemascope.org/