1. A system for assessing information in natural language contents, comprising: a user interface configured to receive an object name as a query term and a value for a customized ranking parameter from a user; a computer storage configured to store an object-specific data set related to the object name, 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, wherein the computer storage configured to store a plurality of documents containing text in a natural language; and a computer processing system in communication with the computer storage and the user interface, the computer processing system being configured to count a first frequency of the first property name in one of the plurality of documents, to count a second frequency of the second property name in the document, to calculate a relevance score as a function of the first frequency and the second frequency, to rank the plurality of documents using their respective relevance scores, and to return one or more documents to the user based on the ranking of the plurality of documents, wherein the function is in part defined by the customized ranking parameter.
1. A system for assessing information in natural language contents, comprising: a user interface configured to receive an object name as a query term and a value for a customized ranking parameter from a user; a computer storage configured to store an object-specific data set related to the object name, 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, wherein the computer storage configured to store a plurality of documents containing text in a natural language; and a computer processing system in communication with the computer storage and the user interface, the computer processing system being configured to count a first frequency of the first property name in one of the plurality of documents, to count a second frequency of the second property name in the document, to calculate a relevance score as a function of the first frequency and the second frequency, to rank the plurality of documents using their respective relevance scores, and to return one or more documents to the user based on the ranking of the plurality of documents, wherein the function is in part defined by the customized ranking parameter. 5. The system of claim 1 , wherein the computer processing system is further configured to: separate 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; count in the document the frequencies of the property names in the first group; and count in the document 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.