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Ontotext Marketing Gets a Boost from Knowledge Graph Powered LLMs

Ontotext

We envisioned harnessing the power of our products to elevate our entire content publishing process, thereby facilitating in-depth knowledge exploration. These steps help pave the way to integrate the knowledge graph with large language models (LLMs) and provide state-of-the-art knowledge discovery and exploration.

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GraphDB in Action: Navigating Knowledge About Living Spaces, Cyber-physical Environments and Skies 

Ontotext

Buildings That Almost Think For Themselves About Their Occupants The first paper we are very excited to talk about is Knowledge Discovery Approach to Understand Occupant Experience in Cross-Domain Semantic Digital Twins by Alex Donkers, Bauke de Vries and Dujuan Yang.

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Understanding Social And Collaborative Business Intelligence

datapine

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. Using related data, content, and the business context behind findings, users can add their own knowledge to the results of business intelligence. What is Social Business Intelligence?

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Ontotext’s Most Popular Blog Posts for 2019

Ontotext

As 2019 comes to an end, we at Ontotext are taking stock of the most fascinating things we have done to empower knowledge management and knowledge discovery this year. In 2019, Ontotext open-sourced the front-end and engine plugins of GraphDB to make the development and operation of knowledge graphs easier and richer.

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SIM Cards And Knowledge Graphs – Unseen But Valuable Technologies

Ontotext

Similarly, knowledge graphs enable data interoperability across different databases, systems, and applications. They adhere to WWW standards and Linked Data principles, which emphasize the use of common specifications and protocols for publishing and interlinking data.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

The second one is the Linked Open Data (LOD): a cloud of interlinked structured datasets published without centralized control across thousands of servers. Knowledge graphs (KG) came later, but quickly became a powerful driver for adoption of Semantic Web standards and all species of semantic technology implementing them.

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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

For example in ads, experiments using cookies (users) as experimental units are not suited to capture the impact of a treatment on advertisers or publishers nor their reaction to it. Henne, Dan Sommerfield, Overall Evaluation Criterion , Proceedings 13th Conference on Knowledge Discovery and Data Mining, 2007.