Descriptions have formal semantics that allow both people and computers to process them efficiently and unambiguously
Descriptions contribute to one another, forming a network, where each entity represents part of the description of the entities related to it
Diverse data is connected and described by semantic metadata according to the knowledge model
By creating a common semantic description, a knowledge kuwait whatsapp number data graph enables a higher level of abstraction that does not rely on the physical infrastructure or format of the data. Sometimes referred to as a data fabric, it delivers a unified, human-friendly, and meaningful way of accessing and integrating internal and external data. provide a consistent view of diverse enterprise data, interlinking knowledge that has been scattered across different systems and stakeholders.
With the help of natural language processing (NLP), text documents can also be integrated with knowledge graphs. Given that many researchers say that between 75-85% of an organization’s knowledge is locked in static documents, tremendous value and wisdom are being missed. NLP pipelines benefit enormously, as sophisticated text analysis methods can be used when combining machine learning with knowledge graphs. Knowledge graphs are also essential for any semantic AI and explainable AI strategy.