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#knowledge-base-construction #machine-learning
it is challenging to build knowledge bases by hand. This is owing to a number of factors: Knowledge bases must be accurate, up-to- date, comprehensive, and as flexible and as efficient as possible. These requirements mean a large undertaking, in the form of extensive work by subject matter experts (such as scientists, programmers, archivists, and other information professionals). Even when successfully engineered, manually built knowledge bases are typically one-off, use-case-specific, non-standardized, hard-to-maintain solutions.
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