8. A system for assessing information in natural language contents, comprising: a computer processing system configured to receive, from a user interface, an object name as a query term from a user; and a computer storage configured to store an object-specific data set related to the object name and to store a plurality of documents containing text in a natural language, 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 computer processing system is configured to separate the plurality of property names in the object-specific data set into a first group and a second group, wherein the first group of one or more property names have their respective association strength values at or above a predetermined value, wherein the second group of one or more property names have their respective association strength values below the predetermined value, wherein the computer processing system is configured to count the frequencies of the property names in the first group and count the frequencies of the property names in the second group in each of the plurality of documents, wherein the computer processing system is configured to calculate a relevance score as a function of the frequencies of the property names in the first group and the frequencies of property names in the second group, wherein the computer processing system is configured to rank the plurality of documents using their respective relevance scores and to return one or more documents to the user interface based on the ranking of the plurality of documents.
8. A system for assessing information in natural language contents, comprising: a computer processing system configured to receive, from a user interface, an object name as a query term from a user; and a computer storage configured to store an object-specific data set related to the object name and to store a plurality of documents containing text in a natural language, 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 computer processing system is configured to separate the plurality of property names in the object-specific data set into a first group and a second group, wherein the first group of one or more property names have their respective association strength values at or above a predetermined value, wherein the second group of one or more property names have their respective association strength values below the predetermined value, wherein the computer processing system is configured to count the frequencies of the property names in the first group and count the frequencies of the property names in the second group in each of the plurality of documents, wherein the computer processing system is configured to calculate a relevance score as a function of the frequencies of the property names in the first group and the frequencies of property names in the second group, wherein the computer processing system is configured to rank the plurality of documents using their respective relevance scores and to return one or more documents to the user interface based on the ranking of the plurality of documents. 13. The system of claim 8 , wherein the function depends on the sum of a first multiplication of the frequencies of the property names and their corresponding association-strength values in the first group, and wherein the function depends on the sum of a second multiplication of the frequencies of the property names and their corresponding association-strength values in the second group.