Freebase vs YAGO

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

Freebase is a Online Services solution with tags like knowledge-graph, semantic-web, linked-data, knowledge-base.

It boasts features such as 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 pros including 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.

On the other hand, YAGO is a Ai Tools & Services product tagged with semantic-network, knowledge-extraction, wikipedia, wordnet, geonames.

Its standout features include 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 it shines with pros like Integrates heterogeneous data sources, Automated extraction and disambiguation, Very large knowledge base, Can support various semantic applications.

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

Product Overview

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.

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.

Key Features Comparison

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

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

Pros & Cons Analysis

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

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

Pricing Comparison

Freebase

• Open Source

YAGO

• Open Source