#knowledge graph
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qKnow Platform – A Fusion Platform of Knowledge Graph and Large Language Models
qKnow Platform is an open-source knowledge management system designed for enterprise-level applications. It deeply integrates core capabilities such as knowledge extraction, knowledge fusion, knowledge reasoning, and knowledge graph construction.
By incorporating advanced large language model (LLM) technology, the platform significantly enhances the understanding and processing of both structured and unstructured data, enabling more intelligent and efficient knowledge extraction and semantic integration.
Leveraging the powerful reasoning and expression capabilities of LLMs, qKnow empowers organizations to rapidly build high-quality, actionable knowledge graph systems—driving intelligent decision-making and business innovation.
Gitee: https://gitee.com/qiantongtech/qKnow
GitHub: https://github.com/qiantongtech/qKnow
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What Is the Master Data Ontology Manager?
The Master Data Ontology Manager is a specialized solution developed by PiLog to provide a semantic framework for managing master data. It enables the creation and maintenance of ontologies — formal representations of categories, relationships, attributes, and rules that describe a specific domain of knowledge. In simple terms, it gives your data context.
Instead of merely storing data as flat records, PiLog’s Ontology Manager organizes it hierarchically and semantically — allowing machines and humans to understand not only what the data is, but also how it relates to other data.
For example: A "pump" in an equipment database isn’t just a label — it belongs to a broader category of "mechanical devices," has attributes like flow rate and pressure, and is used in contexts like oil refineries or water treatment plants. Ontology allows this rich metadata to be embedded within the data model itself.
Why Is Ontology Important in Master Data?
Traditional data models often lack the sophistication to capture contextual meaning, domain-specific logic, and interrelationships between data elements. This leads to:
Inconsistent terminology across departments
Difficulty integrating data from multiple systems
Poor data quality and limited reuse
Ineffective search and analytics capabilities
PiLog’s Master Data Ontology Manager solves these problems by enforcing semantic consistency, making data discoverable, shareable, and reusable across the enterprise. This is especially valuable for large organizations with complex product lines, global operations, and diverse regulatory requirements.
#Ontology Management#Semantic Classification#Master Data Quality#Knowledge Graph#Data Standardization
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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
#accessibility features.#advanced mathematics#advanced reasoning#AI Mode#AI Overviews#AI Premium#AI Technology#AI-driven responses#coding assistance#data sources#digital marketing#fact-checking#Gemini 2.0#Google AI#Google One#image input#information synthesis#Knowledge Graph#multimodal search#Query Fan-Out#response accuracy#search algorithms#search enhancement#search innovation#text interaction#User Engagement#voice interaction
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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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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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#contacto#contenido enriquecido#conversiones#correo electrónico#datos estructurados#dirección#featured snippets#Google#Google Maps#Google My Business#horario de apertura#HTML5#información relevante#JSON-LD#knowledge graph#marcado de datos estructurados#marketing en motores de búsqueda#mejora del motor de búsqueda#mejora del posicionamiento#metadatos#Microdata#NAP#optimización de motores de búsqueda#posicionamiento de sitios web#RDFa#reseñas#resultados de búsqueda#resultados enriquecidos#rich cards rich snippets#schema.org
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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.
(Unrelated image but i liked it in the context. Heres the source: https://bigdatapizza.com/)
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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.
#where is that graph showing 'how much you know ' and 'how secure ypu are about your knowledge '#literally a good chunk of the fans here#someone should inform these people that books are meant to be read and that listening to podcasts is not the perfect way to get all the info#especially if you follow those big guys who literally read the wiki#ironically enough those who are really human libraries of the lore are actually chill and understanding
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I love weighing myself before and after a piss so I can calculate what percentage of my body weight was piss
#tmi probably#it’s fun tho#I’m always hoping that the afterlife will be one giant supercomputer that I can ask anything#like where did my childhood tamagotchi end up and it would give me a complete history of my tamagotchi with precise locations and timestamps#or like what percentage of the earths population has seen snow#I want data I want graphs I want useless bits of knowledge
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GraphReader approach, consisting of graph construction, graph exploration, andanswer reasoning
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misreading demons as desmos is a new low in my course to becoming an engineer
#I mean technically i already am an engineer#Like legally im already allowed to call myself that i have an eng. title#(Not to be read as english)#But i am still studying so point still stands#Also i stayed up till 5am yesterday doing statistic and (not so fancy) desmos graphs about marauders fics#So i think im usimg my knowledge well#I need a tag for general ramblings#The peanut saga
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im so grateful for little old me for learning how to use tangents om gimp when i was like. 11
#wind howls#im not actually 100% sure if thats hoe theyre called#but i know how to use them because i learned when i was a wee little kid who was upgrading from mspaint to gimp for sonic repaints...#and now that knowledge has made using maya super easy !!#well. at least its made manipulating the graph editor super easy teehee
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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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