A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks.

ABSTRACT: Research in artificial intelligence (AI) is addressing a growing number of tasks through a rapidly growing number of models and methodologies. This makes it difficult to keep track of where novel AI methods are successfully - or still unsuccessfully - applied, how progress is measured, how different advances might synergize with each other, and how future research should be prioritized. To help address these issues, we created the Intelligence Task Ontology and Knowledge Graph (ITO), a comprehensive, richly structured and manually curated resource on artificial intelligence tasks, benchmark results and performance metrics. The current version of ITO contains 685,560 edges, 1,100 classes representing AI processes and 1,995 properties representing performance metrics. The primary goal of ITO

SUBMITTER: Blagec K 

PROVIDER: S-EPMC9205953 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature