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What is QuickSet Cloud Device Knowledge Graph?

A global device knowledge graph provides structured and detailed insights into electronic devices, outlining their features, functionalities, and the relationships between them. Each household device carries a variety of attributes, such as its brand, model number, manufacturer details, available features and services, both hardware and software characteristics, compatible devices, geographical information, and much more. This extensive repository of knowledge on nearly every audiovisual gadget worldwide is maintained within QuickSet’s device knowledge graph. Utilizing this graph, QuickSet is able to deliver a broad range of features for each device, going beyond simple control options. Moreover, the knowledge graph adds crucial context to user commands and actions, enabling the real-time detection of nearby devices. The algorithms that QuickSet employs rely on the knowledge graph, which includes devices with various control options, communication methods, and protocols, thereby ensuring smooth interactions between devices. Ultimately, this interconnected framework significantly enhances the user experience by streamlining device management, making it not only easier but also more effective. Additionally, users benefit from the seamless integration of multiple devices, allowing for a more cohesive smart home environment.

What is Golden?

A significant gap exists in the form of a decentralized graph that showcases canonical knowledge, which is both openly available and encourages contributions from users. Our objective is to create a protocol that effectively captures the vast array of 10 billion entities and the public knowledge associated with them. The core components of these facts, known as triples—specifically fact triples or SPO triples—interlink entities to form a comprehensive knowledge graph. These triples are essential for building the vast repository of knowledge we have today. The proposed protocol will be flexible enough to include various types of triples, qualifiers, and supporting data. This expansive triple graph has the potential to enhance decentralized applications (Dapps) and services reliant on critical knowledge. Contributors will be able to submit their triples for validation, and upon approval, they will receive tokens as a form of reward. The acceptance process for triples will involve validators and predictions from the knowledge graph itself, establishing a strong quality control system. This initiative not only incentivizes the contributions to the knowledge graph but also integrates protective measures against misuse, fostering a dependable and sustainable knowledge ecosystem. By implementing this protocol, we take a vital step toward democratizing knowledge access on a large scale, making it more inclusive and participatory. This collective effort aims to empower individuals and enhance the overall landscape of knowledge sharing in the digital age.

Media

Media

Integrations Supported

Brave Browser
Coinbase
WalletConnect

Integrations Supported

Brave Browser
Coinbase
WalletConnect

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

QuickSet Cloud

Company Location

United States

Company Website

quicksetcloud.com/device-knowledge-graph/

Company Facts

Organization Name

Golden

Company Website

golden.xyz/

Categories and Features

Categories and Features

Knowledge Management

Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal

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