The Missing Link in Knowledge Graphs
May 11 | KGC 2023
•
24m
Graph-based technologies are appealing because they promise more flexibility than other database technologies. However, it turns out that graph-based databases still require data to be structured and are not that different from traditional databases, therefore creating disappointment for end users whose expectations are towards more flexibility. We will discuss why this disconnect exists and present technical solutions to fill the gap.
Up Next in May 11 | KGC 2023
-
Structured Regulatory Compliance Thro...
Regulatory complexity is causing a heavy burden on financial institutions, especially when markets expect more rapid innovation to serve its needs. Meanwhile, regulators keep placing more and more expectations to protect the financial, economic and social systems. Despite AI’s great strides in te...
-
Using a Hybrid AI Approach to Automat...
The emerging landscape of deep learning and knowledge graph technologies provides vast opportunities to use public repositories as a source of knowledge for recommendations. Often, the knowledge is represented as a knowledge graph, and a recommendation regarding an entity instance is extracted by...
-
Towards Employing KG & Graph Neural N...
Graphs are ubiquitous, they form a language for describing entities and their interactions. They are emerging as a powerful data analytic tool for addressing difficult real-world problems and more recently graph representation learning has revolutionized AI and modern data science tasks. In Optum...