Semantic Knowledge Graphs
Semantic knowledge graphs represent a solid approach to understanding and using linked data as information. They are the backbone of linked data products that can be built with the Twinfox platform, enabling a dynamic and interconnected representation of linked data as objects.
The semantic knowledge graphs category includes a lot of great information. Things you will find in this category is summarized below.
Model-based structured information
Such structured information make traditional databases fall short due to the sheer complexity of accurately representing such highly structured information, the amounts of joins required usually makes the traditional approach unfeasible. Semantic knowledge graphs allow for a more nuanced and comprehensive understanding of data relationships, making them an invaluable tool for businesses seeking to harness the full potential of their information assets without having to denormalise and simplify it.
We stand at the forefront of this innovation with Twinfox and offer a platform that simplifies the creation and management of semantic knowledge graphs by helping practitioners package them as portable linked data products.
Structured information for data-informed navigation
We believe it should be easy for modern tech-savvy business professionals to easily describe, construct and evolve their information models, ensuring that their information remains relevant and actionable over the long haul. Our platform's intuitive design empowers tech-savvy business professionals to turn data into wisdom, facilitating decision-making processes and driving digital transformation.
Read more about semantic knowledge graphs in our blogposts linked from this page.
