#knowledge graph
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cbirt · 1 year ago
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In the vast and intricate realm of metagenomics, where microbial communities unveil a wealth of biomedical knowledge, a groundbreaking development has emerged. Scientists from Pennsylvania State University introduced MetagenomicKG, a new knowledge graph built to take the exploration of metagenomic data to unprecedented heights. This revolutionary resource has the potential to change how researchers address the complexity of microbial ecosystems and provides a comprehensive and interconnected framework tailored to the unique needs of this emerging field.
The large amount and diversity of genomic content in microbial communities make metagenomics an affluent area of ​​biomedical knowledge. However, traversing these complex societies and their vast unknowns often depends on a variety of reference libraries, each with a specific analytical purpose. From the Genome Taxonomy Database (GTDB) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) to the Bacteria and Viruses Bioinformatics Resource Center (BV-BRC), these repositories are essential for the genetic and functional annotation of microbial communities.
Despite their valuable contributions, inconsistent nomenclature or identifiers between these repositories present challenges for effective integration, representation, and use. Enter the Knowledge Graph, a powerful solution that organizes biological entities and their relationships into a coherent network, revealing hidden patterns and enriching our biological understanding with deeper insights.
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cyberlabe · 7 months ago
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Graph languages
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transhumanitynet · 2 years ago
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Engineering Ghosts in the Machine: Digital Personalities
(draft) This chapter explores the development of “ghosts in the machine,” or digital copies of personalities, by leveraging cognitive architectures, graph databases, generative AI, and all the records we have on any given individual we want to emulate or replicate in the machine.  This, of course, would not be the same person.  Even if we go so far as to say this ‘copy’ is conscious, it still…
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manmishra · 19 days ago
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🚀 Exciting news! Google has launched Gemini 2.0 and AI Mode, transforming how we search. Get ready for faster, smarter responses to complex queries! Explore the future of AI in search today! #GoogleAI #Gemini2 #AIMode #SearchInnovation
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marklyndersay · 2 months ago
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Samsung launches Galaxy S25 smartphones
Above: Samsung’s Galaxy 25 smartphones, camera arrays up. Photo and images courtesy of Samsung. BitDepth#1496 for February 03, 2025 If there was any theme underlying Samsung’s launch last week of its new S25 line of premium smartphones, it was artificial intelligence. Specifically the Gemini AI model developed by Google which takes pride of place on these new Samsung devices. There was little…
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lsblog-2 · 10 months ago
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leadsemantics-1 · 11 months ago
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agenciadeseoenlima · 2 years ago
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Datos estructurados y SEO local
¿Qué son los datos estructurados y cómo se pueden utilizar para el SEO local? En el siempre cambiante mundo del marketing digital, datos estructurados emergiendo como una poderosa herramienta bien integrada en Fabric SEO local estrategia. Como propietario de una empresa local inteligente, comprender la relación simbiótica entre la dinámica de los datos estructurados y el SEO local garantizará…
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xtetto · 2 years ago
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Pizza Data
Im doing a Knowledge Graphs Project for my University with some friends and we just discussed 1.5h about how to properly arrange some pizza places, their menus and addressen. xD Its quite fun but also confusing if your goal is to do it efficient, easily understandable but also cross compatible to what others would possibly do.
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(Unrelated image but i liked it in the context. Heres the source: https://bigdatapizza.com/)
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incorrect-primarchs-quotes · 11 months ago
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Can I be honest here,
I find highly ironic that people will harass new fans just because "ew you don't know all the 400 books and 200+ short stories, you're new and ignorant, ew", then will proceed to correct them and
*drum roll*
They are wrong or hold incomplete knowledge themselves.
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courfee · 1 year ago
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misreading demons as desmos is a new low in my course to becoming an engineer
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cyberlabe · 9 months ago
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GraphReader approach, consisting of graph construction, graph exploration, andanswer reasoning
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sableeira · 2 years ago
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rewriting the system my bachelor project is based on for the third time
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transgaysex · 2 years ago
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im so grateful for little old me for learning how to use tangents om gimp when i was like. 11
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thatwareindia · 2 months ago
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Hyper Intelligence SEO: Reinforcement Learning and Knowledge Graph Optimization for Smarter Search Strategies
At Thatware LLP, we’re pushing the boundaries of digital marketing with Hyper Intelligence SEO—a cutting-edge approach that integrates advanced AI technologies like Reinforcement Learning and Knowledge Graph Optimization to enhance search engine optimization strategies. Let’s explore how these innovations are reshaping the SEO landscape.
Reinforcement Learning: Automating SEO for Dynamic Growth
Reinforcement Learning (RL) is a powerful AI technique where algorithms learn through interactions with an environment, continuously improving their actions based on feedback. Applied to SEO, RL can revolutionize keyword selection and link-building strategies.
How Reinforcement Learning Enhances SEO:
Automated Keyword Selection: RL identifies and adjusts to the most effective keywords by analyzing real-time traffic data.
Smart Backlink Strategies: RL suggests optimal backlinks that boost your site’s ranking potential.
Continuous Optimization: As user behavior evolves, RL adapts strategies to maintain effective SEO performance.
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This data-driven approach allows Thatware LLP to create adaptive SEO strategies that evolve alongside search engine algorithms, delivering better results with reduced manual intervention.
Knowledge Graph Optimization: Structuring Information for Enhanced Search Visibility
Google’s Knowledge Graph organizes and presents key information about entities, providing rich snippets, answer boxes, and other structured formats that improve user experience. Our Knowledge Graph Optimization services leverage schema markup to make your website’s information more accessible and impactful.
Key Benefits of Knowledge Graph Optimization:
Schema Markup Automation: Automatically generates structured data to enhance search engine understanding of your website.
Rich Snippets and Answer Boxes: Increases the likelihood of appearing in high-visibility search features.
Enhanced User Trust and Engagement: Provides quick access to essential details, leading to higher click-through rates.
Our Hyper Intelligence SEO approach incorporates both Reinforcement Learning and Knowledge Graph Optimization to deliver a comprehensive and intelligent SEO strategy.
Why Choose Thatware LLP?
By merging these advanced technologies, we offer:
Data-Driven Insights: Smart decisions based on real-time data and user behavior.
Dynamic SEO Strategies: Continuously evolving tactics to stay ahead of search engine changes.
Improved User Experience: Intuitive site navigation and highly relevant content.
Elevate your digital marketing strategy with Thatware LLP’s Hyper Intelligence SEO services. Our expert team harnesses the power of AI to deliver smarter, faster, and more effective SEO solutions that drive measurable results.
Ready to transform your SEO game? Contact us today to discover how Hyper Intelligence SEO can revolutionize your online presence.
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lsblog-2 · 10 months ago
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KNOWLEDGE IS THE RESULT OF UNDERSTANDING
Dow Jones Factiva news is a powerful business intelligence platform for actionable insights that support strategic decision-making and to proactively identify and respond to opportunities and risk. This intelligence (facts) from news, however, is gleaned by human analysts actually reading to make sense by understanding the content, which remains a time consuming and arduous task. 
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