What is a Knowledge Graph?
Knowledge graphs are flexible and can be integrated with other data integration tools, systems, and platforms. They can connect to traditional databases, data lakes, and machine learning models, allowing organizations to leverage their existing data infrastructure while gaining the benefits of a new knowledge graph data model. By integrating knowledge graphs with other tools, businesses can enrich their data, enhance analytics, and improve decision-making processes across multiple departments or applications.
One of the strengths of knowledge graphs is their ability to incorporate unstructured data, such as text documents, social network media posts, web pages, and research papers. This flexibility allows knowledge graphs to organize and connect various types of information, making them more versatile than traditional databases that primarily handle structured data.
The main benefit of a knowledge graph is its ability to reveal connections and relationships between data often hidden in traditional relational databases. It improves search functionality, enhances new data discovery, and allows for more complex queries. Additionally, knowledge graphs help reduce data silos by connecting information across different sources, making data more accessible.