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Ontotext Marketing Gets a Boost from Knowledge Graph Powered LLMs

Ontotext

Motivated by our marketing team’s aim to simplify content discovery on our website, we initiated the Ontotext Knowledge Graph (OTKG) project. We started with our marketing content and quickly expanded that to also integrate a set of workflows for data and content management. What is OTKG?

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Three’s Company Too: Metadata, Data and Text Analysis

Ontotext

Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Inevitably, the information that could and needed to be expressed by metadata increased in complexity.

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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

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions. million users.

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Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

This becomes possible thanks to metadata enrichment, integrating and linking data from various data sources and, ultimately, dumping, structuring and querying that data with the help of a semantic graph database. One of the best success stories as a result of our training is Culture Creates.

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Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

This becomes possible thanks to metadata enrichment, integrating and linking data from various data sources and, ultimately, dumping, structuring and querying that data with the help of a semantic graph database. One of the best success stories as a result of our training is Culture Creates.

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Enhancing Knowledge Discovery: Implementing Retrieval Augmented Generation with Ontotext Technologies

Ontotext

Like many organizations, we want to get the most of the content we produce – technical documentation about our products, capabilities, past and current projects, research publications, marketing content, presentations, and webinars. So we have built a dataset using schema.org to model and structure this content into a knowledge graph.