Knowledge Graph
Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?
Read about how knowledge management can be made smarter using a knowledge graph built with semantic technology.
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Riding the Databricks Wave with Hybrid Knowledge Graphs
How Ontopic team used GraphDB and LLMs to improve CV selection.
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Knowledge Graphs for Retail – Connecting People, Products, and Platforms
Learn how knowledge graphs serve the retail industry's growing needs.
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Potentials & Advantages of Knowledge Graph Based Conversational AI in Manufacturing & Industry
This is an abbreviated and updated version of a presentation from Ontotext’s Knowledge Graph Forum 2022.
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Migrating From LPG to RDF Graph Model
Approaches and techniques to migrate an LPG model to an RDF model.
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The Gold Standard – The Key to Information Extraction and Data Quality Control
Read about how a human curated body of data is used in AI to train algorithms for search, extraction and classification, and to measure their accuracy
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Your Knowledge Graph Journey In Three Simple Steps
A bird’s eye view on where to start in building a knowledge graph solution to help your business excel in a data-driven market
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Semantization of Regulatory Documents in AECO
Learn about combining knowledge graphs with the latest natural language processing technologies in the regulatory domain.
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Advancing Automatic Knowledge Extraction with PubMiner AI
PubMiner AI helps overcome the challenges in automatic knowledge extraction from large volumes of scientific publications.
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Knowledge Graphs: Redefining Data Management for the Modern Enterprise
Read about some of the primary problems of today’s enterprise data management and how knowledge graphs can solve them
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Introducing a Graph-based Semantic Layer in Enterprises
A graph-based semantic layer focuses on entities and their relationships rather than words, enabling more meaningful, personalized, and connected understanding of enterprise data.
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Knowledge Graphs: Breaking the Ice
Read about the key characteristics of knowledge graphs and how modeling graphs in RDF can help identify, disambiguate and interconnect information
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