9. A method for generating an index for consensus search, the method comprising: (a) dividing text data of an electronic document written about at least one content object into segments of segmented text data, which refer to a predetermined minimal number of words, phrases, clauses, sentences or paragraphs; (b) extracting at least one semantic descriptor from each segment of the segmented text data; (c) generating a semantic data index matching each of the extracted semantic descriptor to the content object and the each segment of the segmented text data; and (d) retrieving a query object related to a query, based on the semantic data index, wherein in the process of (a), 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 (d) comprises: (d1) generating at least one search keyword by dividing the query into words, (d2) generating extended keywords including at least one of a synonym, a hyponym and a hypernym of the search keywords, (d3) searching a semantic descriptor from each keyword and searching segmented text data included in the query object corresponding to the each semantic descriptor based on the semantic data index, (d4) 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, (d5) 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, (d6) 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 (d7) outputting the first and second searched objects as a search result in a descending order of the score.
9. A method for generating an index for consensus search, the method comprising: (a) dividing text data of an electronic document written about at least one content object into segments of segmented text data, which refer to a predetermined minimal number of words, phrases, clauses, sentences or paragraphs; (b) extracting at least one semantic descriptor from each segment of the segmented text data; (c) generating a semantic data index matching each of the extracted semantic descriptor to the content object and the each segment of the segmented text data; and (d) retrieving a query object related to a query, based on the semantic data index, wherein in the process of (a), 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 (d) comprises: (d1) generating at least one search keyword by dividing the query into words, (d2) generating extended keywords including at least one of a synonym, a hyponym and a hypernym of the search keywords, (d3) searching a semantic descriptor from each keyword and searching segmented text data included in the query object corresponding to the each semantic descriptor based on the semantic data index, (d4) 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, (d5) 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, (d6) 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 (d7) outputting the first and second searched objects as a search result in a descending order of the score. 10. The method of claim 9 , further comprising: (e) extracting a factual descriptor related to the content object from metadata included in the electronic document; and (f) generating a metadata index matching identification information of the content object to the extracted factual descriptor.