22. The method of claim 20 , wherein the local score assigning includes identifying a weighting factor based on an extraction probability of instances of the at least one entity in the entity tuple.
20. A method comprising: searching for qualifying occurrences of a query q consisting of at least one entity and at least one keyword from a database of linked documents, identifying entity tuples from the qualifying occurrences of the entity and keyword; for each instance of entity tuple q(t) in one document d of the documents, assigning a local score p(q(t)|d) based on a context of the entity in that document and an uncertainty value associated with extraction of the entity from that document; for each distinct entity tuple q(t), aggregating all the local scores thereof into a global score across the documents, based on respective weight p(d) assigned to each respective document d, as follow, p o ⁡ ( q ⁡ ( t ) ) = p ⁡ ( q ⁡ ( t ) | D ) = ∑ d ∈ D ⁢ ⁢ p ⁡ ( d ) · p ⁡ ( q ⁡ ( t ) | d ) ; normalizing the aggregated score by statistically validating the significance of said score over the database; and outputting a relatively ranked listing of the normalized scores of at least a subset of the distinct entity tuples, to a storage or display device.