8. A method performed by a computer system executing machine-readable instructions, the method comprising acts of: receiving one or more structured knowledge bases of entities and attributes; computing a plurality of intermediate features of the entities and attributes for each entity; aggregating the intermediate features to output a final feature set of features having an entity-attribute tuple corresponding to the respective plurality of computed intermediate features; generating a relevance score for a given entity and each of its associated attributes based on the feature set; ranking the attributes of the given entity based on the relevance scores; and configuring a microprocessor to execute instructions in a memory associated with at least one of the acts of computing, aggregating, generating, or ranking.
8. A method performed by a computer system executing machine-readable instructions, the method comprising acts of: receiving one or more structured knowledge bases of entities and attributes; computing a plurality of intermediate features of the entities and attributes for each entity; aggregating the intermediate features to output a final feature set of features having an entity-attribute tuple corresponding to the respective plurality of computed intermediate features; generating a relevance score for a given entity and each of its associated attributes based on the feature set; ranking the attributes of the given entity based on the relevance scores; and configuring a microprocessor to execute instructions in a memory associated with at least one of the acts of computing, aggregating, generating, or ranking. 10. The method of claim 8 , further comprising computing importance of each entity type for each entity as an intermediate feature.