15. The consensus search method of claim 14 , wherein in the process of (b4), when the query includes a word expressing sentiment, the semantic searcher assigns different weights to the query object matched to the semantic descriptors expressing sentiment based on at least one of polarity and degree of the sentiment.
14. A consensus search method comprising: (a) providing a semantic data index by dividing and indexing an electronic document describing at least one content object into segments, which refer to a predetermined minimal number of words, phrases, clauses, sentences or paragraphs; and (b) retrieving a query object related to a query based on the semantic data index, wherein the semantic data index is generated by extracting at least one semantic descriptor from the each segmented text data, and matching each of the extracted semantic descriptor to the content object and the each segmented text data, wherein the text data is divided into the segments by units of meaning, the semantic descriptor is at least one word that has a meaning, and the content object represents a topic or an entity that a user intends to describe in the electronic document, wherein the process of (b) comprises: (b1) generating at least one search keyword by dividing the query into words, (b2) generating extended keywords including at least one of a synonym, a hyponym and a hypernym of the search keywords, (b3) searching a semantic descriptor from each keyword and searching segmented text data included in the content object corresponding to the each semantic descriptor based on the semantic data index, (b4) detecting first searched objects of which identification information is identical among all of the searched the content objects for included in the search and the semantic descriptors and extracting some segmented text data of which identification information is identical among all of the segmented text data included in the first searched objects, (b5) if there are, in the query, two semantic descriptors corresponding to the keywords of which sentiments are opposite, detecting second searched objects of which identification is identical among all of the searched the content objects for included in the search and the two semantic descriptors and extracting all of the segmented text data in the second searched objects for the two semantic descriptors, (b6) giving a score to the each of the first and second searched objects depending on a number of the extracted segmented text data, wherein a weight to the first and/or second searched object matched to the semantic descriptor corresponding to the search keywords is set higher than a weight to the first and/or second searched object matched to the semantic descriptor corresponding to the extended keywords, and (b7) outputting the first and second searched objects as a search result in a descending order of the score.