YAGO vs Freebase

Struggling to choose between YAGO and Freebase? Both products offer unique advantages, making it a tough decision.

YAGO is a Ai Tools & Services solution with tags like semantic-network, knowledge-extraction, wikipedia, wordnet, geonames.

It boasts features such as Extracts facts from multiple sources like Wikipedia, WordNet, GeoNames, Represents facts as subject-predicate-object triples, Performs disambiguation of entities, Provides a SPARQL endpoint for querying, Has a large knowledge graph with over 10 million entities and 120 million facts and pros including Integrates heterogeneous data sources, Automated extraction and disambiguation, Very large knowledge base, Can support various semantic applications.

On the other hand, Freebase is a Online Services product tagged with knowledge-graph, semantic-web, linked-data, knowledge-base.

Its standout features include Open knowledge graph database, Structured data about real-world entities and events, Collaborative data collection and curation, APIs for querying and accessing data, Linked open data model to connect related facts, Entity extraction from unstructured text, Knowledge graph visualization, and it shines with pros like Massive database of structured real-world knowledge, Integrates data from many sources, Allows anyone to contribute data, Powerful APIs for building applications, Linked data model enables knowledge discovery, Free and open source.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.