Emerging Technology – The Knowledge Graph

The semantic technology provided by a knowledge graph offers comprehensive representation of a subject or area of knowledge/speciality and its logic, with which complex questions can be answered and the answer can then be explained in a plausible and comprehensible manner.

Knowledge graphs, similar to those from i-views, make human knowledge “machine-readable” and digitally representable. This brings computers much closer to human intelligence in understanding content and capturing meaning.

In daily business, it creates the basis for better, more efficient decisions and makes previously scattered, tacit knowledge within the company systematically accessible. There is a good reason for Gartner to consider Knowledge Graphs a “red hot” AI technology in its current Gartner Hype Cycle that promises enormous potential.
With i-views, intelligent views gmbh is named as a Knowledge Graph provider in the following five Gartner hype cycles, along with other “known” American companies:

Gartner attaches particular importance to the use of knowledge graphs, such as i-views, in the area of artificial intelligence and the digital workplace. Other possible use cases for companies are risk analyses and impact analyses, as they occur in corporate management or in compliance, but also in the use of intelligent product information or even technical documentation.

To learn more about the functionalitites and possible areas of application for Knowledge Graphs for companies, we recommend the Business Whitepaper.

The Knowledge Graph from i-views, now in version 5.3, is especially characterized by its business user friendliness. Just give it a try! 

1] An ontology is a formal knowledge model used to establish knowledge structures, for knowledge organization or as a basis for automated knowledge processing / AI, both by humans and by computers.

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