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

Ontotext

This has enabled them to meet the requirements coming from heterogeneous data in building automation systems, the interoperability issues critical for design engineering and, last but not least, the challenges in air-traffic control. The framework addresses current data integration needs and prepares for future capability.

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Why Establishing Data Context is the Key to Creating Competitive Advantage

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As a result, organizations have spent untold money and time gathering and integrating data. While Big Data was all the rage, now ā€œsmall and wideā€ data is the focus, giving more specificity to the information being developed. However, for this to happen, there needs to be context for the data to become knowledge.

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

Rocket-Powered Data Science

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. In ā€œinformation retrievalā€ language, we would say that we have high RECALL, but low PRECISION.

Strategy 266
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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

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So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

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

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KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management. Schema.org and Linked Open Data are just two incarnations of the Semantic Web vision.

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Crafting a Knowledge Graph: The Semantic Data Modeling Way

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The term ā€œknowledge graphā€ (KG) has been gaining popularity for quite a while now. Today, as the number of decision-makers recognizing the importance of more dynamic, contextually aware and intelligent information architectures is growing, so is the number of companies with solutions based on knowledge graphs.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs ā€“ Part I

Ontotext

It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. To learn more, check out our post: An Integrated System for Global Tracking!