28. A system comprising: at least one processor, said at least one processor being coupled to access a document database D that indexes keywords and instances of entities having entity types in a plurality of documents; said at least one processor being configured to receive an input query q including one or more keywords and one or more entity types, and search the database for documents having the keywords and entities with the entity types of the input query; said at least one processor configured for aggregating a respective score for each q(t) of a plurality of entity tuples across the plurality of documents d in database D, as follows, based on respective weight p(d) assigned to each respective document d and local score p(q(t)|d), p o ⁡ ( q ⁡ ( t ) ) = p ⁡ ( q ⁡ ( t ) | D ) = ∑ d ∈ D ⁢ ⁢ p ⁡ ( d ) · p ⁡ ( q ⁡ ( t ) | d ) said at least one processor configured to normalize the aggregated scores by statistically validating the significance of said score over the database, each respective normalized score providing a ranking of a respective entity tuple, relative to other entity tuples, as an answer to the input query; said at least one processor having an interface to a storage or display device or network for outputting a list including a subset of the entity tuples having the highest normalized scores among the plurality of entity tuples.
28. A system comprising: at least one processor, said at least one processor being coupled to access a document database D that indexes keywords and instances of entities having entity types in a plurality of documents; said at least one processor being configured to receive an input query q including one or more keywords and one or more entity types, and search the database for documents having the keywords and entities with the entity types of the input query; said at least one processor configured for aggregating a respective score for each q(t) of a plurality of entity tuples across the plurality of documents d in database D, as follows, based on respective weight p(d) assigned to each respective document d and local score p(q(t)|d), p o ⁡ ( q ⁡ ( t ) ) = p ⁡ ( q ⁡ ( t ) | D ) = ∑ d ∈ D ⁢ ⁢ p ⁡ ( d ) · p ⁡ ( q ⁡ ( t ) | d ) said at least one processor configured to normalize the aggregated scores by statistically validating the significance of said score over the database, each respective normalized score providing a ranking of a respective entity tuple, relative to other entity tuples, as an answer to the input query; said at least one processor having an interface to a storage or display device or network for outputting a list including a subset of the entity tuples having the highest normalized scores among the plurality of entity tuples. 37. The system of claim 28 , wherein the aggregated scores are normalized using global statistics of the document database and relatively ranked with respect to each other.