Knowledge Graph

Knowledge Graphs have already become an important aspect of our daily lives. From a simple google search to personalized shopping experiences, that include recommendations from online stores or virtual voice assistants (such as Alexa, Siri, or Google Assistant), we have been interacting with Knowledge Graphs one way or another.

Knowledge Graphs are directed and labeled graphs, incorporated with labels that have well-defined meanings. These represent a compelling abstraction for organizing the world’s structured knowledge over the internet and a way to interlink descriptions of entities extracted from multiple data sources. They provide a structure and a common interface for all data and enable the creation of smart multilateral relations throughout the databases. Meaningfully connecting datasets is a powerful strategy for every business, even more so in healthcare as it helps decision-makers and users, and allows computers to gain context within the existing knowledge.
Knowledge Graphs have also started to play a central role in machine learning as a method to incorporate world knowledge, as a target knowledge representation for extracted knowledge, and for explaining and illustrating what is learned.

How do Knowledge Graphs help?

  1. Making Better Decisions by Swift Searches
    Knowledge Graph gives enriched and in-depth search results, helping to provide relevant facts and contextualized answers to specific questions, rather than a broad search result that usually encompasses many relevant as well as irrelevant documents and messages – but no valuable input.
  2. Combining Disparate Data
    Knowledge Graphs help to combine disparate silos of data, giving the user an overview of all knowledge – not only within a single department but also across various departments and global organizations.
  3.  Bringing Together Structured and Unstructured Data
    Employing a Knowledge Graph technology enables connecting different types of data in meaningful ways and supporting richer data services than most knowledge management systems. Organizations can effortlessly utilize this technology to extract and discover deeper and more subtle patterns with the help of AI and Machine Learning.
  4. Future-Proofing Database with Standards
    With an Enterprise Knowledge Graph(EKG), organizations can benefit from higher reusability of their data while managing data models, as their Knowledge Graphs are compliant with W3C standards.
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