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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
Graphs represent one of the most adaptable formal data structures, allowing for straightforward mapping of various data formats while effectively illustrating the explicit relationships between items, thus facilitating the integration of new data entries and the exploration of their interconnections. The inherent semantics of the data are clearly defined, incorporating formal methods for inference and validation. Serving as a self-descriptive data model, knowledge graphs not only enable data validation but also provide insights on necessary adjustments to align with data model specifications. The significance of the data is embedded within the graph itself, represented through ontologies or semantic frameworks, which contributes to their self-descriptive nature. Knowledge graphs are uniquely positioned to handle a wide range of data and metadata, evolving and adapting over time much like living organisms. Consequently, they offer a robust solution for managing and interpreting complex datasets in dynamic environments.
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
TopQuadrant
Country
United States
Website
www.topquadrant.com
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
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management