Patent ID: 8762371
Filing Date: 2014-06-24
Classification: G06F

Abstract:
1. A system for searching documents and ranking search results based on conceptual association, comprising: a computer; configured to store one or more datasets each being related to an object or concept, and to store a plurality of documents each comprising one or more words or phrases, wherein each dataset comprises one or more words or phrases as names of properties associated with the object or concept, to receive a query, wherein the query comprises a word or a phrase that represents an object or concept name, to retrieve a dataset related to the object or concept name in the query, the dataset including a first property name and one or more second property names, to count a first frequency of the first property name in one or more of the plurality of documents, and a second frequency of the one or more second property names in the one or more documents, and to calculate a relevance score for the one or more documents as a function of at least the first frequency and the second frequency, and to output the one or more documents or their representations as a search result based on the relevance score, wherein each of the one or more documents contains at least one word or phrase that matches a property name in the dataset, but does not match the word or phrase in the query.