A Method of Crowd-Sourced Information Extraction From Large Data Files

摘要

A system and a method is proposed for collecting and aggregating crowd-sourced data from data files based on parameters and measures of relevance of underlying content provided by the intelligent crowd. A user's data may be combined with already existing collective data to generate relevant mark-ups for a document or other consumable data file, such as audio or video. The marked-up version of the document or data fie is then displayed to other users to, inter alia, enhance efficiency and comprehension for reading, listening or viewing.