What Are Knowledge Graph Embeddings?
Learn about knowledge graph embeddings and how they are used to predict missing links and facilitate machine learning tasks.
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!
Semantic repository is a database management system that allows storing, querying, and managing of structured data.
A knowledge base is a collection of entitiy descriptions interlinked in a way that enables storage, analysis, and reuse of this knowledge in a machine-interpretable way.
Inference is essential for deducing new knowledge, identifying inconsistencies in your database, creating flexibility in your data model and much more.
An ontology is a formal description of knowledge as a set of concepts within a domain and the relationships that hold between them.
DIKW Pyramid represents the relationships between data, information, knowledge and wisdom. Each step up the pyramid answers questions about and adds value to the initial data. The more questions we answer, the higher we move up the pyramid.
Linked Data is one of the core pillars of the Semantic Web, also known as the Web of Data. The Semantic Web is all about making links between datasets understandable not only to humans, but also to machines, and Linked Data provides the best practices for making these links possible.