Automatic content composition generation

Abstract

The invention discloses methods, algorithms, and the related systems and services of generating contents from a body of knowledge.

What is claim is: 
     
         1 . A non-transitory computer readable medium having computer executable instructions stored thereon that when executed by one or more processors, cause to construct one or more data arrays, from a composition of ontological subjects, respective of at least one route on a graph, said graph representing connections and associations of ontological subjects and/or value significances of ontological subjects of the composition. 
     
     
         2 . The storage medium of  claim 1 , wherein said instructions comprises instructions for calculating at least one quantitative measure indicative of the associations of the ontological subjects of the composition and/or one or more quantities indicative of one or more value significances of at least one ontological subject and/or one or more quantities indicative of one or more value significances of at least one partition of the composition. 
     
     
         3 . The storage medium of  claim 1 , wherein said instructions further comprises instructions for using the data of said one or more data arrays respective of the at least one route to select one or more partitions of the composition. 
     
     
         4 . The storage medium of  claim 1 , said instructions further comprises instructions for selecting one or more partitions of the composition based on a value of at least one function of at least one of said indicative quantities of value significance of the ontological subjects and/or those of the partitions. 
     
     
         5 . The storage medium of  claim 1 , wherein said composition is an assembled body of knowledge related to at least one of the ontological subjects contained in the body of knowledge. 
     
     
         6 . The computer implemented method of  claim 6 , wherein one or more constituent ontological subjects of the selected partitions are replaced with other ontological subjects that may not be a part of the partitions of the body of knowledge. 
     
     
         7 . A method of calculating an association strength value for a pair of ontological subjects of a predefined order of a body of knowledge comprising:
 partitioning, using one or more processors and one or more data storing mediums, the body of knowledge into plurality of partitions;   determining number of co-occurrences of the pair in the partitions of the body of knowledge   estimating frequency of occurrences of one or both of the ontological subjects of said pair;   calculating the association strength value for said pair of ontological subjects of the predefined order of the body knowledge as a function of said number of co-occurrences of the pair and frequency of occurrences of at least one of the ontological subjects of said pair of ontological subject of the predefined order.   
     
     
         8 . The method of  claim 7  wherein further a composing route is identified using said association strengths of pairs of ontological subjects of the predefined order of the body of knowledge. 
     
     
         9 . The method of  claim 7 ; further comprising calculating a significance value for at least one of said ontological subject of the predefined order as a function of frequency of occurrences of one or more ontological subjects of the predefined order and/or co-occurrences of said at least one ontological subject of the predefined order with one or more of said ontological subjects of the predefined order. 
     
     
         10 . The method of  claim 9 , wherein further a composing route is identified as a function of said association strengths of one or more pairs of ontological subjects of predefined order of the body of knowledge and one or more said significance values of the ontological subjects of predefined order. 
     
     
         11 . A method of generating content from a body of knowledge comprising:
 finding, using one or more processors and one or more data storing mediums, connections and associations between constituents ontological subjects of the body of knowledge;   selecting one or more of the ontological subjects according to one or more predefined types of connections between the ontological subjects; and   selecting one or more partitions of the body of knowledge having predefined relations with one or more of said selected ontological subjects thereby to assemble a content composition employing one or more of said selected partitions.   
     
     
         12 . The method of  claim 11 , wherein the body of knowledge is assembled in response to a given content. 
     
     
         13 . The method of  claim 11 , wherein one or more constituent ontological subjects of the selected partitions are replaced with other ontological subjects that may not be a part of the partitions of the body of knowledge. 
     
     
         14 . A computer implemented method of generating content composition comprising:
 accessing, using one or more processors and one or more data storing mediums, a body of knowledge;   identifying, using one or more processors or one or more data storing mediums, at least one composing route or map; and   selecting, using one or more processors or one or more data storing mediums, one or more partitions of the body of knowledge according to the composing route or map and assembling a content composition.   
     
     
         15 . The computer implemented method of  claim 14 , wherein the body of knowledge is partitioned to a plurality of partitions and one or more partitions of the body of knowledge is decomposed to their constituent ontological subjects assigned with an order lower than the order of the partitions. 
     
     
         16 . The computer implemented method of  claim 14 , wherein the composing route or map is identified based on a function of one or more quantities respective of one or more of the followings:
 co-occurrence numbers of said lower order ontological subjects;   association strengths of said lower order ontological subjects;   probability of occurrences of the lower order ontological subjects of the body of knowledge;   value significances of the lower order ontological subjects, and   value significances of the partitions of said body of knowledge.   
     
     
         17 . The computer implemented method of  claim 14 , wherein the composed content includes at least one partition of the body of knowledge having certain predetermined quantity level of at least one type of value significance measures and contain one or more ontological subjects from:
 the ontological subjects on the composing route; and   associates of the ontological subjects of the composing rout.   
     
     
         18 . The computer implemented method of  claim 14 , wherein the composed content is about one or more of predetermined ontological subjects. 
     
     
         19 . The computer implemented method of  claim 14  further comprising using instructions executable by one or more processing devices to perform a method for identifying one or more ontological subjects of a composition or the body of knowledge, comprising:
 instructions for calculating quantities indicative of association strengths of the ontological subjects of the composition to each other; 
 instructions for calculating quantities indicative of at least one type of value significance of the ontological subjects of the composition; 
 instructions for identifying a set of ontological subjects based on their association strengths and/or the value significance quantities, wherein said set has at least one member. 
 
     
     
         20 . The computer-readable medium of  claim 14 , wherein said body of knowledge is assembled for an input content.