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What is RDFox?

Oxford Semantic Technologies, founded by a trio of professors from the University of Oxford, has created RDFox, a premier knowledge graph and semantic reasoning engine, as a result of extensive studies in Knowledge Representation and Reasoning (KRR). This sophisticated AI reasoning engine mimics human reasoning, delivering remarkable capabilities that emphasize accuracy, veracity, and clarity. RDFox produces new insights exclusively from authenticated data, assuring that its results are firmly rooted in reality. Its distinctive incremental reasoning capability allows AI-driven consequences to be applied to the database in real-time as data is updated or introduced, thus removing the requirement for system restarts. This method also ensures that only relevant information is modified, which enhances efficiency by negating the need to reassess the entire dataset. Thanks to these groundbreaking features, RDFox is poised to significantly impact the evolution of AI applications, paving the way for more intelligent and responsive systems. The potential applications of RDFox across various industries could redefine how organizations leverage data for decision-making.

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.

Media

Media

Integrations Supported

AWS Marketplace
Google Sheets
JSON
Java
Microsoft Excel

Integrations Supported

AWS Marketplace
Google Sheets
JSON
Java
Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

Oxford Semantic Technologies

Company Location

United Kingdom

Company Website

www.oxfordsemantic.tech/rdfox

Company Facts

Organization Name

QuickSet Cloud

Company Location

United States

Company Website

quicksetcloud.com/device-knowledge-graph/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

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