What Are Knowledge Graph Embeddings?
Learn about knowledge graph embeddings and how they are used to predict missing links and facilitate machine learning tasks.
Fundamentals
Our Fundamentals provide clear, accessible explanations of essential concepts in data, content, and knowledge management. Whether you’re new to the field or looking to deepen your understanding, these resources are designed to make complex ideas easier to grasp and apply.
Explore our diverse collection of fundamentals to stay ahead in the rapidly evolving field of AI-driven solutions!
What Is a Semantic Layer?
The benefits of the semantic layer in organizing and abstracting enterprise data to facilitate decision-making and how businesses can leverage its capabilities.
What Is GraphQL?
The fundamentals of GraphQL, its operational mechanics, and how it compares to other query language approaches.
What Is Entity Linking?
Entity linking is a crucial part of NLP to help organize content, make it easily discoverable, and transform the information encoded in the text into structured knowledge.
What Is Natural Language Querying?
NLQ enables users to interact with complex databases using ordinary human language, eliminating the need for specialized query language skills.
What Is Data Fabric?
Data Fabric is the new addition to the growing alphabet soup of new IT vocabulary terms. DIve into the what, why, when and how of data fabric
What Is a Large Language Model?
LLMs are deep learning models, which learn patterns and relationships from large volumes of textual data and can be used for generating new text, based on inputs, by predicting the most probable sequence of words to follow.
What Is SHACL?
Diving into SHACL – what it is, what a SHACL shape looks like and what kinds of data quality constraints you can specify with it
What Is Data Mesh?
Diving into the Why and What of data mesh as well as the role that knowledge graphs should play in the process.