3. A method as recited in claim 1 , wherein said harvesting further comprises the steps of: crawling a set of websites to scrape information relevant to said choice set; receiving information relevant to said choice set from a set of other data sources including a data feed or a database; and updating said set of websites and said set of other data sources that are harvested based on a result of said crawling and said receiving.
1. A computer-automated method of generating a searchable knowledge base for a plurality of items in a choice set, each of said items having an associated set of attributes including at least one subjective attribute, comprising the steps of: harvesting information relevant to each of said items as well as a source and an age of said harvested information from the Internet; extracting a set of normalized representations from a corresponding set of statements in one or more texts of said harvested information; analyzing the normalized representations to derive a set of scores for each attribute in said associated set of attributes for each of said items; aggregating said derived scores, for said each attribute in said associated set of attributes, by assigning a weight to each of the scores based on at least the source and the age of said harvested information; and incorporating attributes in said associated set of attributes and their corresponding aggregated scores, for each of said items, into said searchable knowledge base for said choice set, wherein a computer processor is utilized to automatically perform each of steps, the incorporating including: annotating a first statement harvested for a first item of the plurality of items with a first set of attributes and a corresponding first set of scores to generate a first annotation, the first set of attributes associated with the first item and determined based on an analysis of text in the first statement, the first statement being one of multiple statements harvested for the first item, the first annotation being one of multiple annotations in the searchable knowledge base, the first annotation including a link to the first statement, and indexing the annotations in the searchable knowledge base to facilitate retrieval of a statement of the statements that corresponds to an input attribute.