A method for ingesting a plurality of content according to a statistical similarity of at least one portion of the ingested plurality of content into an information handling system capable of answering questions, whereby the ingested plurality of content is based on a received topic and ingesting the plurality of content comprises ingesting a plurality of documents associated with the received topic is provided. The method may include determining at least one similarity between each document based on a similarity criteria. The method may also include applying a statistical model to characterize the determined at least one similarity between each document. The method may further include creating at least one pair-wise link for each document. The method may additionally include mapping the created at least one pair-wise link. The method may include generating a plurality of rules for ingesting a plurality of additional content.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for ingesting a plurality of content according to a statistical similarity of at least one portion of the ingested plurality of content into an online information handling system running on a first computer and capable of answering questions, wherein the ingested plurality of content is based on a received topic entered on a second computer and ingesting the plurality of content comprises ingesting a plurality of documents associated with the received topic, wherein the ingested plurality of documents are acquired from searching a plurality of online sources including a plurality of repositories and internet, the method comprising: determining at least one similarity between each document within the ingested plurality of documents based on a similarity criteria; applying a statistical model to characterize the determined at least one similarity between each document within the ingested plurality of documents; creating at least one pair-wise link between a word, an image, or a plurality of other media for each document within the ingested plurality of documents based on the applied statistical model; mapping the created at least one pair-wise link for a first document within the ingested plurality of documents to at least one other document within the ingested plurality of documents based on a context of the word, the image, or the plurality of other media; generating a plurality of rules for ingesting a plurality of additional content based on the mapping of the created at least one pair-wise link; storing the generated plurality of rules in an online repository; retrieving and utilizing the stored plurality of rules when a plurality of future documents are loaded into the online information handling system; creating a plurality of hard and soft links between a word, an image, or a plurality of other media for each document within the ingested plurality of documents based on the applied statistical model, wherein each hard link within the plurality of hard and soft links meets or exceeds a predetermined threshold and each soft link within the plurality of hard and soft links falls below a predetermined threshold; and creating a single annotation between each document within the ingested plurality of documents based on each hard link and each soft link within the plurality of hard and soft links. 2. The method of claim 1, further comprising: utilizing the generated plurality of rules for ingesting the plurality of additional content. 3. The method of claim 1, wherein the ingested plurality of documents comprises unstructured or structured documents. 4. The method of claim 1, wherein the received topic is determined from a question. 5. The method of claim 1, wherein the created at least one pair-wise link is a hyperlink between at least two documents within the ingested plurality of documents and is created using text mining techniques. 6. The method of claim 1, wherein the similarity criteria is a threshold based on at least one of a plurality of context, a number of times repeated, a confidence, a location, and an author. 7. The method of claim 1, wherein the statistical model is selected from a group comprising of at least one of a variance, a bias, a mean, and a standard deviation. 8. The method of claim 1, wherein the at least one pair-wise linkage is directed or undirected. 9. The method of claim 1, wherein the ingesting of a plurality of additional content is optimized according to the similarity criteria and the statistical model selected from a group consisting of at least one of a word, a group, a plurality of NGrams, a sentence, a paragraph, a page, a plurality of Hadoop nodes, and a plurality of clusters. 10. A computer system for ingesting a plurality of content according to a statistical similarity of at least one portion of the ingested plurality of content into an online information handling system running on a first computer and capable of answering questions, wherein the ingested plurality of content is based on a received topic entered on a second computer and ingesting the plurality of content comprises ingesting a plurality of documents associated with the received topic, wherein the ingested plurality of documents are acquired from searching a plurality of online sources including a plurality of repositories and internet, the computer system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: determining at least one similarity between each document within the ingested plurality of documents based on a similarity criteria; applying a statistical model to characterize the determined at least one similarity between each document within the ingested plurality of documents; creating at least one pair-wise link between a word, an image, or a plurality of other media for each document within the ingested plurality of documents based on the applied statistical model; mapping the created at least one pair-wise link for a first document within the ingested plurality of documents to at least one other document within the ingested plurality of documents based on a context of the word, the image, or the plurality of other media; generating a plurality of rules for ingesting a plurality of additional content based on the mapping of the created at least one pair-wise link; storing the generated plurality of rules in an online repository; retrieving and utilizing the stored plurality of rules when a plurality of future documents are loaded into the online information handling system; creating a plurality of hard and soft links between a word, an image, or a plurality of other media for each document within the ingested plurality of documents based on the applied statistical model, wherein each hard link within the plurality of hard and soft links meets or exceeds a predetermined threshold and each soft link within the plurality of hard and soft links falls below a predetermined threshold; and creating a single annotation between each document within the ingested plurality of documents based on each hard link and each soft link within the plurality of hard and soft links. 11. The computer system of claim 10, further comprising: utilizing the generated plurality of rules for ingesting the plurality of additional content. 12. The computer system of claim 10, wherein the ingested plurality of documents comprises unstructured or structured documents. 13. The computer system of claim 10, wherein the received topic is determined from a question. 14. The computer system of claim 10, wherein the created at least one pair-wise link is a hyperlink between at least two documents within the ingested plurality of documents and is created using text mining techniques. 15. The computer system of claim 10, wherein the similarity criteria is a threshold based on at least one of a plurality of context, a number of times repeated, a confidence, a location, and an author. 16. The computer system of claim 10, wherein the statistical model is selected from a group comprising of at least one of a variance, a bias, a mean, and a standard deviation. 17. The computer system of claim 10, wherein the at least one pair-wise linkage is directed or undirected. 18. The computer system of claim 10, wherein the ingesting of a plurality of additional content is optimized according to the similarity criteria and the statistical model selected from a group consisting of at least one of a word, a group, a plurality of NGrams, a sentence, a paragraph, a page, a plurality of Hadoop nodes, and a plurality of clusters. 19. A computer program product for ingesting a plurality of content according to a statistical similarity of at least one portion of the ingested plurality of content into an online information handling system running on a first computer and capable of answering questions, wherein the ingested plurality of content is based on a received topic entered on a second computer and ingesting the plurality of content comprises ingesting a plurality of documents associated with the received topic, wherein the ingested plurality of documents are acquired from searching a plurality of online sources including a plurality of repositories and internet, the computer program product comprising: one or more computer-readable non-transitory storage devices and program instructions stored on at least one of the one or more computer readable non-transitory storage devices, the program instructions executable by a processor, the program instructions comprising: program instructions to determine at least one similarity between each document within the ingested plurality of documents based on a similarity criteria; program instructions to apply a statistical model to characterize the determined at least one similarity between each document within the ingested plurality of documents; program instructions to create at least one pair-wise link between a word, an image, or a plurality of other media for each document within the ingested plurality of documents based on the applied statistical model; program instructions to map the created at least one pair-wise link for a first document within the ingested plurality of documents to at least one other document within the ingested plurality of documents based on a context of the word, the image, or the plurality of other media; program instructions to generate a plurality of rules for ingesting a plurality of additional content based on the mapping of the created at least one pair-wise link; program instructions to store the generated plurality of rules in an online repository; program instructions to retrieve and utilize the stored plurality of rules when a plurality of future documents are loaded into the online information handling system; program instructions to create a plurality of hard and soft links between a word, an image, or a plurality of other media for each document within the ingested plurality of documents based on the applied statistical model, wherein each hard link within the plurality of hard and soft links meets or exceeds a predetermined threshold and each soft link within the plurality of hard and soft links falls below a predetermined threshold; and program instructions to create a single annotation between each document within the ingested plurality of documents based on each hard link and each soft link within the plurality of hard and soft links. 20. The computer program product of claim 19, further comprising: program instructions to utilize the generated plurality of rules for ingesting the plurality of additional content.