The rapid evolution of AI is transforming how enterprises interact with data. As organizations look to deploy AI applications like chatbots and internal search tools, one of the biggest challenges they face is data readiness. Without a reliable, structured data layer, AI agents often produce inaccurate or incomplete answers. This lack of control can put... The post What is Model Context Protocol (MCP) and How Does Structured Data Play a Role? appeared first on Schema App Solutions.| Schema App Solutions
As organizations increasingly prioritize linked data capabilities to connect information across the enterprise, selecting the right graph framework to leverage has become more important than ever. In this webinar, graph technology experts from Enterprise Knowledge Elliot Risch, James Egan, David Hughes, and Sara Nash shared the best ways to manage and apply a selection of these frameworks to meet enterprise needs.| Enterprise Knowledge
Entity Hub dynamically builds and manages your Content Knowledge Graph through automated Entity Linking for greater context and connectivity.| Schema App Solutions
If you work in the biomedical R&D domain, you know the problem well: there’s plenty of data, but not enough organization.| Wisecube AI – Research Intelligence Platform
There are a variety of syntaxes or flavors that can be used to represent knowledge graphs. One of the most popular and ubiquitous is the Resource Description Framework (RDF), which provides a means to capture meaning, or semantics, in a way that is interpretable by both humans and machines.| Enterprise Knowledge
Learn the benefits of developing a Content Knowledge Graph for a wide variety of applications – including AI, content strategy, and search.| Schema App Solutions
For SEOs and content marketers, understanding Google’s Knowledge Graph is essential to leveraging the full power of search visibility.| Schema App Solutions
RAGFlow v0.9 introduces support for GraphRAG, which has recently been open-sourced by Microsoft, allegedly the next generation of Retrieval-Augmented Generation (RAG). Within the RAGFlow framework, we have a more comprehensive definition of RAG 2.0. This proposed end-to-end system is search-centric and consists of four stages. The last two stages—indexing and retrieval—primarily require a dedicated database, while the first two stages are defined as follows:| RAGFlow Blog
Artificial Intelligence (AI) can do astonishing things, like summarize complex data or generate creative content in seconds. Unfortunately, it also […]| Wisecube AI – Research Intelligence Platform
Read about three GraphDB-powered use cases in the areas of machine learning, software engineering, and e-health, which are poised to move our understanding and practices of interconnectedness forward by using semantic technologies. The post GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains appeared first on Ontotext.| Ontotext
Ontotext's Tag service can recognize entities and assign standard identifiers that let you enrich your graphs. The post Using Entity Linking to Turn Your Graph into a Knowledge Graph appeared first on Ontotext.| Ontotext
Read about how How a Graph Center of Excellence can help businesses achieve their strategic goals using a small-scale pilot initiative that serves as a model for other similar projects The post Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success appeared first on Ontotext.| Ontotext
Guillaume Rachez, VP of Product at Perfect Memory, talks with Doug Kimball about why knowledge graphs offer the most efficient access to information.| Ontotext
An abbreviated and updated version of a presentation from Knowledge Graph Forum 2023 by Eban Tomlinson, Director of Sales and Marketing at Semaphore| Ontotext
Learn about the value of entity linking using Schema Markup and the results we’ve seen from implementing entity linking with our customers.| Schema App Solutions
Entities are distinctly defined concepts that are distinguishable, especially through their relation to other things/entities. Learn more.| Schema App Solutions
On top of producing rich results, SEO teams can use Schema Markup to develop a reusable knowledge graph to improve search performance.| Schema App Solutions
