Description: Entity matching is the process of identifying and linking related entities from different data sources. This process is fundamental in the field of artificial intelligence, as it allows for the integration and unification of dispersed information, thereby facilitating the creation of a more coherent and useful knowledge base. Entities can be people, places, organizations, or any other objects of interest that can be represented in a dataset. Entity matching involves the use of algorithms and machine learning techniques to analyze and compare data, determining whether different records refer to the same entity. This process not only improves data quality but also enables organizations to make more informed decisions based on a more comprehensive view of the available information. Entity matching is particularly relevant in contexts where data comes from multiple sources, such as in database integration, data mining, and customer profiling. As the amount of generated data continues to grow, the ability to effectively identify and link entities becomes increasingly crucial for the success of artificial intelligence and data analysis initiatives.
