Various embodiments of the present invention relating to a knowledge expertise platform for tracking, analyzing, and sharing knowledge expertise among group member clients are disclosed. In particular, the knowledge expertise platform enables categorizing and ranking a broad universe of human learning to generate expertise categories, processing the expertise categories to accurately identify and link user consumption content to expertise information, and automatically monitoring and interpreting user content consumption to share the expertise information among member clients within a group.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An expertise server comprising: a processor; a memory coupled to the processor; a gateway component coupled to the processor and configured to facilitate network communications, wherein the gateway component is further configured to collect client device use data of a plurality of users and send the client device use data to an observation component, and wherein the gateway component being configured to collect the client device use data includes being configured to collect website content or knowledge database content routed via the gateway component to client devices associated, respectively, with the users; a storage device coupled to the processor, wherein the storage device includes a knowledge database that includes human learning information, whereby the knowledge database content is content of the knowledge database; a categorization component coupled to the processor, wherein the categorization component is configured to generate a plurality of knowledge categories based on an analysis of the human learning information; a knowledge processing component coupled to the processor, wherein the knowledge processing component is configured to generate linkages between related knowledge categories based on an analysis of the knowledge categories; an observation component coupled to the processor, wherein the observation component is configured to monitor use by the users of the client devices, and wherein being configured to monitor the use by the users of the client devices includes being configured to monitor the client device use data; and a content interpretation component coupled to the processor, wherein the content interpretation component is configured to analyze the client device use data to determine expertise knowledge of each of the users, and wherein being configured to analyze the client device use data includes being configured to analyze the website content or the knowledge database content. 2. The expertise server of claim 1, wherein any of the gateway component, the categorization component, the knowledge processing component, the observation component, or the content interpretation component comprise a hardware component. 3. The expertise server of claim 2, wherein the gateway component, the categorization component, the knowledge processing component, the observation component, and the content interpretation component each comprise a portion of the hardware component. 4. The expertise server of claim 1, wherein any of the gateway component, the categorization component, the knowledge processing component, the observation component, or the content interpretation component comprise a software component. 5. The expertise server of claim 4, wherein the software component is coupled to the processor when a logical connection that enables the processor to execute instructions of the software component exists between the software component and the processor. 6. The expertise server of claim 1, wherein at least one of the gateway component, the categorization component, the knowledge processing component, the observation component, or the content interpretation component comprise a software component, and wherein at least one of the gateway component, the categorization component, the knowledge processing component, the observation component, or the content interpretation component comprise a hardware component. 7. The expertise server of claim 1, wherein the memory stores instructions which, when executed by the processor, cause the expertise server to perform operations including: executing a content interpretation algorithm to analyze the client use data to determine the expertise knowledge of each of the users and to select one of the users as an expert model for a particular expertise. 8. The expertise server of claim 7, wherein the content interpretation algorithm is a human-genetic based algorithm (HGBA) that evaluates the expertise knowledge of each of the users to determine which of the users to select as the expert model for the particular expertise. 9. The expertise server of claim 8, wherein the processor when executing the HGBA analyzes knowledge flow between the users to determine to change, based on the knowledge flow, the selection of the expert model from a first user to a second user. 10. The expertise server of claim 8, wherein the processor when executing the HGBA analyzes content consumption behaviors of the users to derive expertise information from the users, the operations further including: in response to a new content consumption behavior exhibited by a particular user, sending the expertise information to the particular user. 11. An expertise server comprising: a processor; a memory coupled to the processor; a storage device coupled to the processor, wherein the storage device includes a knowledge database that includes human learning information; a categorization component coupled to the processor, wherein the categorization component is configured to generate a plurality of knowledge categories based on an analysis of the human learning information; a knowledge processing component coupled to the processor, wherein the knowledge processing component is configured to generate linkages between related knowledge categories based on an analysis of the knowledge categories; an interpretation component coupled to the processor, wherein the interpretation component is configured to collect expertise data associated with a plurality of users and analyze the expertise data to determine expertise knowledge of the plurality of users; a gateway component coupled to the processor, wherein the interpretation component includes the gateway component, wherein the gateway component is configured to collect client device use data of the users, and wherein the gateway component being configured to collect the client device use data includes being configured to collect content of a website or the knowledge database routed via the gateway component to any of the client devices; an observation component coupled to the processor, wherein the interpretation component includes the observation component, wherein the observation component is configured to monitor use by the users of the client devices, and wherein being configured to monitor the use by the users of the client devices includes being configured to monitor the client device use data; and a content interpretation component coupled to the processor, wherein the interpretation component includes the content interpretation component, wherein the content interpretation component is configured to analyze the client device use data to determine expertise knowledge of each of the users, and wherein being configured to analyze the client device use data includes being configured to analyze the content of the website or the knowledge database. 12. The expertise server of claim 11, wherein the memory stores instructions which, when executed by the processor, cause the expertise server to perform operations including: monitoring content consumption behaviors of a user, wherein the monitoring of the content consumption behaviors include monitoring mouse clicks by the user and mouse movements of the user. 13. The expertise server of claim 12, wherein the monitoring of the mouse movements of the user includes monitoring when the mouse movements cause a cursor to hover over a hyperlink, or include monitoring an amount of time that the cursor hovers over a webpage. 14. The expertise server of claim 11, wherein the memory stores instructions which, when executed by the processor, cause the expertise server to perform operations including: obtaining profile data of a particular user at a plurality of social networks; analyzing the profile data to create a consolidated profile; and generating new profile data for the user at a new social network based on the consolidated profile. 15. The expertise server of claim 14, wherein the social networks include an organizational network with members comprising members or employees of an organization that manages the organizational network.