Implement a Connected Inventory of enterprise data assets, based on a knowledge graph, to get business insights about the current status and trends, risk and opportunities, based on a holistic interrelated view of all enterprise assets.
Improve engagement, discoverability and personalized recommendations for Financial and Business Media, Market Intelligence and Investment Information Agencies,Science, Technology and Medicine Publishers, etc.
LLMs are deep learning models that learn patterns and relationships from large volumes of textual data. They can be used for generating new text, based on inputs, by predicting the most probable sequence of words to follow
How to build knowledge graphs for better enterprise knowledge management, data and content analytics? Here is a short list showing the 10 steps of creating knowledge graphs based on Ontotext’s extensive experience.
Knowledge graphs represent a collection of interlinked descriptions of entities that put data in context via linking and semantic metadata and this way provide a framework for data integration, unification, analytics and sharing.