Extracting information from unstructured data and mapping the information to a structured schema using the naïve bayesian probability model

摘要: An “unstructured event parser” analyzes an that is in unstructured form and generates structured form. A mapping phase determines, for a given token, possible fields of the schema to which token could be mapped probabilities should those fields. Particular tokens are then particular schema. By using Naive Bayesian probability model, “probabilistic mapper” field, maps field. The probabilistic mapper can also used “regular expression creator” regex matches “parameter file helps user create parameter use with parameterized normalized generator generate based on event.