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

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. Ground Control to Major Knowledge Graph!

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Are You Content with Your Organizationā€™s Content Strategy?

Rocket-Powered Data Science

Do you present your employees with a present for their innovative ideas? If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. Do you converse with your employees about decisions that might be the converse of what they would expect? Can you find them all?

Strategy 267
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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Seen through the three days of Ontotextā€™s Knowledge Graph Forum (KGF) this year, complexity was not only empowering but key to the growth of knowledge and innovation. This, of course, has its challenges and turning points, but Atanas provided solid advice for those wondering where to start at the end of his presentation.

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

Ontotext

In more detail, they explained that just as the hypertext Web changed how we think about the availability of documents, the Semantic Web is a radical way of thinking about data. We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery.

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Business Intelligence System: Definition, Application & Practice

FineReport

In addition, it can extract useful data from different business systems of an enterprise for storing, analyzing, and managing internal data. When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. Data Analysis.

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Ontotextā€™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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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.