Semantic reasoning has become one of the most valuable companions to a knowledge graph and as the technology has advanced, companies all across the world have embraced its power. As adoption grows, so too does the need for faster, more reliable, more intelligent solutions. With RDFox, they are available today. Join us for a showcase of the features driving graph’s most exciting applications from large scale configuration management and fraud detection to on-device personalized recommendations and vehicle automation.
RDFox was built upon decades of robust engineering and pioneering research, culminating in unmatched reasoning capabilities, industry leading performance, and unparalleled stability. Trusted by startups and fortune 500 companies alike, it supports the most advanced graph solutions in production, deployed on everything from the cloud to edge-device. In this quickfire session we will demonstrate how RDFox makes these, and many other applications possible. Come with an idea, leave with a solution.
RDFox is the world’s most performant knowledge graph and reasoner—a true pioneer in this space, outperforming other graph databases by orders of magnitude. Knowledge graphs can lack the speed, stability, and deployment options required in industry but RDFox has conquered these challenges, creating new opportunities for innovative solutions. Through explaining the function and benefit of performant reasoning in a variety of applications, attendees will come away with a better idea of how they can use these tools for their own benefit. Throughout this presentation we will discuss and demonstrate the strengths and applications of a powerful reasoning engine when combined with a high-performance knowledge graph. While highlighting the value in this combination, we will illustrate the flexibility and range of solutions available with a showcase of two deployments, one on the cloud and one on edge-device. With the entirety of wikidata loaded onto a cloud instance of RDFox, we will show the speed at which complex queries are returned despite its colossal size. On the opposite end of the spectrum, we will show RDFox running on a raspberry pi, bringing semantic reasoning to the edge. The primary goal of these demonstrations is to prove that graph and semantic technologies are widely applicable, viable in any environment or situation.
Around these demos we will discuss other applications of the technology. These will include use cases where our clients are using RDFox to tackle real world problems today. These include but are not limited to, fraud detection, personalized recommendations, semantic search, configuration management, compatibility and constraint checking at scale, data integration, clinical decision support, and vehicle automation. Similarly, this illustrates the diversity of graph—this time by way of industry and individual task rather than practical limitations (or lack thereof). Having attended this presentation, attendees will leave with a better understanding of what is possible with knowledge graphs and reasoning today. Our aim is to educate and inspire, encouraging attendees to create bigger and better solutions with the help of graph.