Remove Analytics Remove Interactive Remove Knowledge Discovery Remove Metadata
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Why Establishing Data Context is the Key to Creating Competitive Advantage

Ontotext

Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. Without metadata management and other data-related operations with semantic technologies, organizations often struggle to connect data sets and achieve a unified view of their enterprise data.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the adoption of knowledge graphs. Graph solutions have gained momentum due to their wide-ranging applications across multiple industries. million users.

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Enhancing Knowledge Discovery: Implementing Retrieval Augmented Generation with Ontotext Technologies

Ontotext

This dramatically simplifies the interaction with complex databases and analytics systems. Let’s see how we’ve approached this with our Ontotext Knowledge Graph project. How Ontotext uses RAG We build on top of our products GraphDB and Ontotext Metadata Studio to develop a content enrichment system.