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This invention describes a system for bringing together information from many different sources, like databases or websites. It uses a structured way of understanding data, called an ontology, to make sense of individual pieces of information and group them into meaningful concepts. These concepts are then combined through automated steps to create custom data services, providing tailored search results to users through various applications.
Why it matters: Filed before the widespread adoption of cloud computing and advanced AI, this system's core idea of integrating disparate data sources using semantic descriptions is now far more feasible and powerful. Modern APIs, knowledge graph technologies, and machine learning can automate much of the ontology creation and data assimilation that would have been complex and manual in 2001.
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