Knowledge Graphs (KG)

Knowledge Graphs are a form of Graph Databases that represents information in a Graphs format, linking entities and concepts through relationships. They offer a structured representation of knowledge, allowing for the capture of complex relationships and contextual information. Knowledge Graphs have gained prominence due to their ability to enhance data organization, search, and retrieval, making them integral to various applications, including search engines, Recommender Systems, and Question Answering (QA) systems.


Knowledge Graphs can represent and link complex information across different domains and disciplines.


  • Knowledge Graphs often use Ontologies and semantic web technologies to define and structure the relationships and entities within the graph, providing a basis for representing and inferring knowledge.
  • Entities within a Knowledge Graph can include people, places, events, concepts, and more, while the relationships capture the connections between these entities.
  • The development and maintenance of Knowledge Graphs often involve curation and integration of data from various sources, including structured databases, unstructured text, and external knowledge bases.