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Business Intelligence System: Definition, Application & Practice

FineReport

It is a process of using knowledge discovery tools to mine previously unknown and potentially useful knowledge. It is an active method of automatic discovery. If the company has reached a high degree of informatization, the success rate of importing the BI system will definitely be greatly improved. Free Download.

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Crafting a Knowledge Graph: The Semantic Data Modeling Way

Ontotext

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. Yet, the concept of knowledge graphs still lives without an agreed-upon description or shared understanding.

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Ontotext Marketing Gets a Boost from Knowledge Graph Powered LLMs

Ontotext

We expose this classified content by flexible semantic faceted search with the help of metaphacts’ knowledge graph platform metaphactory. These steps help pave the way to integrate the knowledge graph with large language models (LLMs) and provide state-of-the-art knowledge discovery and exploration.

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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. Again, the overall aim is to extract knowledge from data and, through algorithms based on artificial intelligence, to assist medical professionals in routine diagnostics processes.

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Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

Let’s start with a quick definition of the basics. Semantic technology is a broad technological term that covers specific technological approaches, principles and methodologies for managing data and knowledge. Some of that journey has been recorded in a previous blog post. What This Training Is.

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The Importance of the Semantic Knowledge Graph

Ontotext

Knowledge graphs are large networks of entities representing real-world objects, like people and organizations, and abstract concepts, like professions and topics, and their semantic relations and attributes. An ontology enriches data within a knowledge graph with context and meaning that humans and computers can interpret.

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

Ontotext

We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery. Providing a formal unified conceptual model, ontologies enable unified access to and correct interpretation of diverse information and greatly facilitate analytics, decision making and knowledge re-use.