Knowledge automation techniques may include techniques may include monitoring search queries for content in one or more data stores performed by a plurality of users, and identifying, based on the search queries, a set of one or more search terms. A frequency count for each search term based on a number of occurrence of the search term in the search queries can be determined, and search results corresponding to the search queries can be analyzed. The techniques may include determining, based on the frequency count of each search term and the user responses to the search results, a knowledge gap indicating a lack of content associated with a particular search term in the one or more data stores. The techniques may also include identifying a content source to fill the knowledge gap.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising: monitoring, by a data processing system, search queries for content in one or more data stores performed by a plurality of users; identifying, based on the search queries, a set of one or more search terms; determining, by the data processing system, a frequency count for each search term based on a number of occurrence of the search term in the search queries; analyzing, by the data processing system, search results corresponding to the search queries; monitoring, by the data processing system, user responses to the search results corresponding to the search queries; determining, based on the frequency count of each search term and the user responses to the search results, a knowledge gap indicating a lack of content associated with a particular search term in the one or more data stores; and identifying, by the data processing system, a content source to fill the knowledge gap. 2. The method of claim 1, wherein analyzing the search results include determining a number of knowledge elements in each search result. 3. The method of claim 1, wherein the user responses being monitored include, for each search result that has a list of knowledge elements, one or more of: number of knowledge elements in the list of knowledge elements retrieved by a user; and depth into the list of knowledge elements traversed by the user. 4. The method of claim 1, wherein the user responses being monitored include, for each search result that has a list of knowledge elements, one or more of: amount of time spent by a user viewing the list of knowledge elements; and for each knowledge element retrieved by the user, an amount of time spent by the user viewing the retrieved knowledge element. 5. The method of claim 1, wherein the frequency count of the particular search term in the search results is above a predetermined threshold count. 6. The method of claim 1, wherein identifying the content source includes identifying a knowledge publisher that has published content previously consumed by users who performed the search queries having the particular search term. 7. The method of claim 1, further comprising: sending a request to a knowledge publisher to add content to the one or more data stores to fill the knowledge gap. 8. A non-transitory computer-readable storage memory storing a plurality of instructions executable by one or more processors, the plurality of instructions comprising: instructions that cause the one or more processors to monitor search queries for content in one or more data stores performed by a plurality of users; instructions that cause the one or more processors to identify, based on the search queries, a set of one or more search terms; instructions that cause the one or more processors to determine a frequency count for each search term based on a number of occurrence of the search term in the search queries; instructions that cause the one or more processors to analyze search results corresponding to the search queries; instructions that cause the one or more processors to monitoring user responses to the search results corresponding to the search queries; instructions that cause the one or more processors to determine, based on the frequency count of each search term and the user responses to the search results, a knowledge gap indicating a lack of content associated with a particular search term in the one or more data stores; and instructions that cause the one or more processors to identify a content source to fill the knowledge gap. 9. The non-transitory computer-readable storage memory of claim 8, wherein the instructions that cause the one or more processors to analyze search results include: instructions that cause the one or more processors to determine a number of knowledge elements in each search result. 10. The non-transitory computer-readable storage memory of claim 8, wherein the user responses being monitored include, for each search result that has a list of knowledge elements, one or more of: number of knowledge elements in the list of knowledge elements retrieved by a user; and depth into the list of knowledge elements traversed by the user. 11. The non-transitory computer-readable storage memory of claim 8, wherein the user responses being monitored include, for each search result that has a list of knowledge elements, one or more of: amount of time spent by a user viewing the list of knowledge elements; and for each knowledge element retrieved by the user, an amount of time spent by the user viewing the retrieved knowledge element. 12. The non-transitory computer-readable storage memory of claim 8, wherein the frequency count of the particular search term in the search results is above a predetermined threshold count. 13. The non-transitory computer-readable storage memory of claim 8, wherein the instructions that cause the one or more processors to identify the content source include: instructions that cause the one or more processors to identify a knowledge publisher that has published content previously consumed by users who performed the search queries having the particular search term. 14. The non-transitory computer-readable storage memory of claim 8, further comprising: instructions that cause the one or more processors to send a request to a knowledge publisher to add content to the one or more data stores to fill the knowledge gap. 15. A system comprising: one or more processors; and a memory coupled with and readable by the one or more processors, the memory configured to store a set of instructions which, when executed by the one or more processors, causes the one or more processors to: monitor search queries for content in one or more data stores performed by a plurality of users; identify, based on the search queries, a set of one or more search terms; determine a frequency count for each search term based on a number of occurrence of the search term in the search queries; analyzing search results corresponding to the search queries; monitoring user responses to the search results corresponding to the search queries; determine, based on the frequency count of each search term and the user responses to the search results, a knowledge gap indicating a lack of content associated with a particular search term in the one or more data stores; and identify a content source to fill the knowledge gap. 16. The system of claim 15, wherein the set of instructions further comprises instructions, which when executed by the one or more processors, causes the one or more processors to determine a number of knowledge elements in each search result. 17. The system of claim 15, wherein the user responses being monitored include, for each search result that has a list of knowledge elements, one or more of: number of knowledge elements in the list of knowledge elements retrieved by a user; and depth into the list of knowledge elements traversed by the user. 18. The system of claim 15, wherein the user responses being monitored include, for each search result that has a list of knowledge elements, one or more of: amount of time spent by a user viewing the list of knowledge elements; and for each knowledge element retrieved by the user, an amount of time spent by the user viewing the retrieved knowledge element. 19. The system of claim 15, wherein the frequency count of the particular search term in the search results is above a predetermined threshold count. 20. The system of claim 15, wherein the set of instructions further comprises instructions, which when executed by the one or more processors, causes the one or more processors to send a request to a knowledge publisher to add content to the one or more data stores to fill the knowledge gap.