16. A method for assessing information in natural language contents, comprising: receiving an object name as a query term from a user interface by a computer processing system; retrieving an object-specific data set related to the object name from a computer storage system, wherein the object-specific data set includes a plurality of property names and association-strength values, each property name being associated with an association-strength value, wherein the association strength values of the plurality of property names are above a predetermined threshold value, wherein the plurality of property names includes a first property name and a second property name; retrieving, by the computer processing system, a plurality of documents containing text in a natural language; counting a first frequency of the first property name in one of the plurality of documents by the computer processing system; counting a second frequency of the second property name in the in one of the plurality of documents by the computer processing system; calculating a relevance score as a function of the first frequency and the second frequency; ranking the plurality of documents using their respective relevance scores; and returning one or more documents to the user interface based on the ranking of the plurality of documents.
19. The method of claim 16 , wherein the function depends on the sum of a first multiplication of the first frequency and its corresponding association-strength value and a second multiplication of the second frequency and its corresponding association-strength value.