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Description
There is a notable absence of a decentralized graph representing canonical knowledge that is accessible, unrestricted, and encourages contributors to input data into the graph. We aim to establish a protocol that accurately represents the 10 billion entities that exist and the collective public knowledge related to them. Triples—commonly referred to as fact triples or SPO triples—serve as the fundamental components of facts, connecting entities to create a cohesive graph. These triples function as the foundational elements that construct the expanse of knowledge we recognize today. The protocol is designed to accommodate a diverse range of triple types, qualifiers, and supporting evidence. This triple graph can be utilized to enhance decentralized applications (Dapps) and services that depend on essential knowledge. Contributors have the opportunity to submit triples for validation, and if their submissions are approved, they will earn tokens as a reward. The acceptance of triples is determined by validators and predictions made by the knowledge graph itself, ensuring a robust quality control mechanism. Ultimately, the protocol not only incentivizes the creation of the knowledge graph but also incorporates safeguards against exploitative behaviors, promoting a sustainable and reliable knowledge ecosystem. This initiative represents a significant step toward democratizing access to knowledge on a grand scale.
Description
HyperGraphDB serves as a versatile, open-source data storage solution founded on the sophisticated knowledge management framework of directed hypergraphs. Primarily created for persistent memory applications in knowledge management, artificial intelligence, and semantic web initiatives, it can also function as an embedded object-oriented database suitable for Java applications of varying scales, in addition to serving as a graph database or a non-SQL relational database. Built upon a foundation of generalized hypergraphs, HyperGraphDB utilizes tuples as its fundamental storage units, which can consist of zero or more other tuples; these individual tuples are referred to as atoms. The data model can be perceived as relational, permitting higher-order, n-ary relationships, or as graph-based, where edges can connect to an arbitrary assortment of nodes and other edges. Each atom is associated with a strongly-typed value that can be customized extensively, as the type system that governs these values is inherently embedded within the hypergraph structure. This flexibility allows developers to tailor the database according to specific project requirements, making it a robust choice for a wide range of applications.
API Access
Has API
API Access
Has API
Integrations
Brave Browser
Coinbase
WalletConnect
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Golden
Website
golden.xyz/
Vendor Details
Company Name
Kobrix Software
Founded
2015
Country
United States
Website
hypergraphdb.org
Product Features
Knowledge Management
Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal