🧩YAGO

NEW

A large semantic knowledge base combining Wikipedia, WordNet, and other sources, focusing on accuracy through consistent taxonomies and constraints.

DESCRIPTION

YAGO builds a high-quality knowledge base by integrating Wikipedia with lexical resources like WordNet and geographic data like GeoNames. It emphasizes correctness and consistency through taxonomic hierarchies and ontology constraints. Researchers use YAGO for information extraction, entity linking, and reasoning tasks. Its curated approach aims to reduce noise compared to purely extracted datasets. YAGO provides downloadable datasets and documentation for academic and industrial projects.

ALTERNATIVE DEFINITIONS

YAGO Project

YAGO is a large knowledge base combining data from Wikipedia, WordNet, and other sources, with high quality and consistency.

Highlights integration and quality emphasis.

Source

Max Planck Institute

YAGO is a huge semantic knowledge base derived from Wikipedia, WordNet, and GeoNames, designed to be accurate and consistent.

Emphasizes semantic coherence and source derivation.

Source

RELATED TERMS

WordNet GeoNames Linked Open Data RDF SPARQL Knowledge Graph Knowledge Representation Entity Linking

COMPETING TERMS

DBpedia Wikidata

KNOWLEDGE AREAS

Semantic & Knowledge Modeling Data Science AI Data Integration & Interoperability

TARGET AUDIENCE

Data Scientist AI Engineer Data Engineer Data Architect Information Analyst

EXTERNAL SOURCES

• Wikipedia - YAGO (database)
• YAGO Project - Official dataset downloads
• YAGO - Repository and resources

TOP QUESTIONS

What makes YAGO different from DBpedia and Wikidata?

YAGO emphasizes taxonomic coherence and correctness by combining Wikipedia with WordNet and GeoNames, aiming for fewer noisy facts.

Category: Comparison

How is YAGO typically used?

For entity linking, semantic enrichment, and reasoning. It’s popular in research for reliable ground truth and taxonomy-based analysis.

Category: Usage

What is the origin of YAGO?

Developed by researchers at MPI and collaborators, starting with a 2007 paper that integrated Wikipedia and WordNet into a consistent ontology.

Category: Origin

Does YAGO provide provenance?

YAGO includes references to source datasets and maintains structured taxonomies that support traceability of facts and types.

Category: Provenance

How do I query YAGO?

Load YAGO RDF dumps into a triplestore and use SPARQL. Some mirrors offer public endpoints; local hosting ensures reliability.

Category: HowTo

What are common mistakes using YAGO?

Assuming uniform coverage across domains and ignoring version differences. Validate with your domain and pin dataset releases.

Category: Mistakes

Is YAGO actively maintained?

YAGO has periodic releases and ongoing research updates. Check the project site and GitHub for current versions.

Category: Relevancy

What risks exist with YAGO data?

Source misalignments and schema changes can produce inconsistencies. Address through data validation and ontology-aware mapping.

Category: Risk

Where should I start with YAGO?

Review the YAGO homepage, download datasets, and read documentation. Load into a triplestore and experiment with taxonomy queries.

Category: Learning