Abstract: The present invention includes an expert system in which a search index furnishes answers to incoming queries provided in natural language. A search index for a specific field contains components that facilitate selecting a best fitting stored answer to the incoming query. Furthermore, context of the incoming query (e.g. location of the user, a current web page or service being used/viewed by the user, the time, etc.) may be considered when selecting a best fitting answer.

Abstract: The present invention includes an expert system in which a search index furnishes answers to incoming queries provided in natural language. A search index for a specific field contains components that facilitate selecting a best fitting stored answer to the incoming query. Furthermore, context of the incoming query (e.g. location of the user, a current web page or service being used/viewed by the user, the time, etc.) may be considered when selecting a best fitting answer.

Abstract: The present invention includes an expert system in which a search index furnishes answers to incoming queries provided in natural language. A search index for a specific field contains components that facilitate selecting a best fitting stored answer to the incoming query. Furthermore, context of the incoming query (e.g. location of the user, a current web page or service being used/viewed by the user, the time, etc.) may be considered when selecting a best fitting answer.

Abstract: The present invention includes an expert system in which a search index furnishes answers to incoming queries provided in natural language. A search index for a specific field contains components that facilitate selecting a best fitting stored answer to the incoming query. Furthermore, context of the incoming query (e.g. location of the user, a current web page or service being used/viewed by the user, the time, etc.) may be considered when selecting a best fitting answer. A language specific storehouse of weighted words and a private storehouse of weighted words associated with a field-specific search index provide the basis for evaluating the significance level of a natural language word of a query. Again, context of the incoming query may be considered when evaluating the significance level of a natural language word of a query. Irrelevant portions of an incoming query may first be deleted from the inquiry prior to processing.

Abstract: The present invention includes an expert system in which a search index furnishes answers to incoming queries provided in natural language. A search index for a specific field contains components that facilitate selecting a best fitting stored answer to the incoming query. Furthermore, context of the incoming query (e.g. location of the user, a current web page or service being used/viewed by the user, the time, etc.) may be considered when selecting a best fitting answer. A language specific storehouse of weighted words and a private storehouse of weighted words associated with a field-specific search index provide the basis for evaluating the significance level of a natural language word of a query. Again, context of the incoming query may be considered when evaluating the significance level of a natural language word of a query. Irrelevant portions of an incoming query may first be deleted from the inquiry prior to processing.