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Understanding Social And Collaborative Business Intelligence

datapine

Using related data, content, and the business context behind findings, users can add their own knowledge to the results of business intelligence. Through feedback mechanisms including comments, ratings, tags, blogs, and microblogs, the results of published BI can be enhanced. Rachael Chapman: A Complete gamer and a Tech Geek.

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Why Establishing Data Context is the Key to Creating Competitive Advantage

Ontotext

Beyond that, and without a way to visualize, connect, and utilize the data, it’s still just a bunch of random information. Semantically integrated data makes metadata meaningful, allowing for better interpretation, improved search, and enhanced knowledge-discovery processes.

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GraphDB and metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action

Ontotext

This post looks at a specific clinical trial scoping example, powered by a knowledge graph that we have built for the EU funded project FROCKG , where both Ontotext and metaphacts are partners. Visual Ontology Modeling With metaphactory. Let’s first have a look at the knowledge graph management capabilities provided by metaphactory.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Yet, the biggest challenge for risk analysis continues to suffer from lack of a scalable way of understanding how data is interrelated.

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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

Start delivering the answers to your original questions through different knowledge discovery tools such as powerful SPARQL queries, easy to use GraphQL interface, semantic search, faceted search, data visualization, etc. Maximize the usability of your data. Make it easy to maintain and evolve your data fabric.

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Understanding Social And Collaborative Business Intelligence

datapine

Using related data, content, and the business context behind findings, users can add their own knowledge to the results of business intelligence. Through feedback mechanisms including comments, ratings, tags, blogs, and microblogs, the results of published BI can be enhanced. Rachael Chapman: A Complete gamer and a Tech Geek.

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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.