#knowledge graph
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cyberlabe · 10 months ago
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Graph languages
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tudoutiao · 16 days ago
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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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reallyhappyyouth · 2 months ago
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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.
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manmishra · 4 months 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 · 5 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 · 1 year ago
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leadsemantics-1 · 1 year 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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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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yappacadaver · 8 days ago
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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
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cyberlabe · 1 year ago
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GraphReader approach, consisting of graph construction, graph exploration, andanswer reasoning
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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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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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lsblog-2 · 1 year 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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leadsemantics-1 · 1 year ago
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