Diffbot Knowledge Graph (DKG)
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A Diffbot Knowledge Graph (DKG) is a knowledge graph platform produced by Diffbot
- Context:
- It provide comprehensive and interconnected data across various entities including: people, companies, products, articles, and more.
- It can autonomously extract, understand, and make searchable information from the web in multiple languages, including French, Chinese, and Cyrillic, as easily as in English.
- It can be constantly rebuilt from scratch to ensure the data remains fresh, accurate, and comprehensive.
- It can be utilized to transform how enterprises conduct business by significantly reducing the time spent by knowledge workers on data gathering.
- It can enable the next generation of AI to understand relationships between entities and concepts, thus facilitating informed decision-making based on a deep understanding of how entities are interlinked.
- It can serve as a horizontal database for a variety of information, setting it apart from other knowledge graphs that are often limited to restructuring Wikipedia facts with basic connections.
- It can provide access to its data through the Diffbot Query Language (DQL), allowing for granular searches and broad analyses across trillions of pieces of information.
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- Example(s):
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- Counter-Example(s):
- Traditional databases that require manual curation and are not web-wide.
- Knowledge graphs that support ad-based search engine business models and do not provide knowledge as the end product to their customers.
- See: Artificial Intelligence, Knowledge Graph, Diffbot Query Language (DQL).