Sep 30, 2024 · Learn how to build a knowledge graph from unstructured data with this step-by-step guide, enhancing AI, data discovery, and strategic insights.

Mar 21, 2024 · Knowledge graphs in NLP aim to model real-world entities and the relationships between them, providing a contextual understanding of information extracted from text data. This enables more sophisticated and nuanced language understanding, making it a valuable tool for various NLP applications.

From the business perspective, a knowledge graph (KG) represents how you organize and represent your data. Hence, it encodes the knowledge about your use case, which can be explored and fetched. Knowledge is encoded in the graph’s structure in the form of nodes, relationships and properties.

Jul 22, 2024 · Code Graph is a visual representation of a codebase, leveraging Knowledge Graphs and Large Language Models (LLMs) to map the relationships between code entities, such as functions, variables, and classes. In this article, we explore the core concepts of Code Graph, deep-dive into how they are created, and explain how it enhances code analysis.

Mar 27, 2021 · Using the tables given below, we will identify the classes, relationships, properties and then form the ontology. Using this ontology, we will construct a knowledge graph! The classes that have...

Querying a knowledge graph requires a good understanding of the ontology, the data model, and the graph topology. You need to know how to navigate the graph using path expressions, how to use the reasoning capabilities of the ontology, and how to optimize the queries for performance.

Jan 8, 2025 · Explore ontologies as foundational schemas for knowledge graphs. Learn how they define entities, relationships, and hierarchies to enable semantic reasoning and data integration.

Aug 9, 2023 · This article will explain the purpose of a knowledge graph and show you the basics of how to translate a relational data model into a graph model, load the data into a graph database, and write some sample graph queries.

Apr 10, 2025 · Knowledge graphs provide the context behind patterns in your data, which allows your AI model to make logical connections. For example, you could use an AI model to capture and qualify leads. The model would lead customers through a series of questions, create a knowledge graph to understand their answers, and direct them to the appropriate ...

Nov 4, 2019 · Building a graph representation condensing the operatively most important concepts and using that as an integration vehicle, linking the graph to other data stores, like operational data, analytical data and even external data is such an attractive opportunity for creating new opportunities for pushing information to a place, where business ...