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.

Feature	YAGO	Freebase
Overall Score	N/A	N/A
Primary Category	Ai Tools & Services	Online Services

Product Overview

YAGO

Description: YAGO is a large semantic knowledge base that combines information from several sources like Wikipedia, WordNet, and GeoNames. It uses automated methods to extract facts from these sources and link them together into a semantic network with over 10 million entities and 120 million facts.

Freebase

Description: Freebase is an open, graph-shaped database of facts about the real world. Freebase aims to organize human knowledge similar to databases like Wikipedia. It allows users to contribute facts and data that can be interlinked through its graph-shaped model.

Key Features Comparison

YAGO Features

• 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

Freebase Features

• 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

Pros & Cons Analysis

YAGO

Pros

• Integrates heterogeneous data sources
• Automated extraction and disambiguation
• Very large knowledge base
• Can support various semantic applications

Cons

• May have inaccuracies due to automated extraction
• Not as frequently updated as Wikipedia
• SPARQL queries can be complex for non-experts

Freebase

Pros

• 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

Cons

• Requires technical expertise to use APIs
• Data quality dependent on contributors
• Limited compared to large knowledge graphs like Wikidata
• Shutdown in 2016 so no longer actively developed

Pricing Comparison

YAGO

• Open Source

Freebase

• Open Source