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Knowledge Extraction

/ˈnɒl.ɪdʒ ɛkˈstræk.ʃən/noun
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Knowledge extraction is the systematic process of automatically deriving structured, meaningful information from unstructured or semi-structured data sources, such as text, images, or databases. In modern applications, it's essential for powering AI systems that make sense of vast digital information, like social media analysis or predictive analytics, turning overwhelming data floods into clear, actionable insights.

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Knowledge extraction technology was a key factor in Google's search engine evolution, enabling it to index and understand over 100 trillion web pages by 2023, which helps deliver relevant results in under a second. This capability has also revolutionized healthcare, where systems like those from IBM Watson extract insights from medical literature to assist in diagnosing rare diseases, potentially saving thousands of lives annually.

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