20. The method of claim 16 , further comprising: separating the plurality of property names in the object-specific data set into a first group comprising the first property name and a second group comprising the second property name, wherein the property names in the first group have their respective association strength values at or above a predetermined value, wherein the property names in the second group have their respective association strength values below the predetermined value; counting, in the one of the plurality of documents, the frequencies of the property names in the first group; and counting, in the one of the plurality of documents, the frequencies of the property names in the second group, wherein the relevance score is calculated using the frequencies of the property names in the first group and the frequencies of property names in the second group.
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.