A knowledge management system configured to integrate information and to distill non-obvious knowledge from data by applying various engines operative in accordance with available information knowledge.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of distilling non-knowledge from unstructured data, the method comprising: receiving unstructured data from a data source; processing the data with a processing engine to render the unstructured data into structured data; analyzing the structured data with at least one analysis engine so as to identify information; processing the information with a reasoning engine or an inference engine so as to enhance the information with expert knowledge to form knowledge, the reasoning engine or the inference engine operative in accordance with an expert-knowledge database. 2. The method claim 1, wherein the data source is selected from the group consisting of sensor, database, crowd sourcing, and computer network. 3. The method of claim 1, wherein the analysis engine is selected from the group consisting of engines configured to perform data fusion, data mining, modeling, simulation, video analytics, machine learning, facial recognition, and Optical Character Recognition (OCR). 4. The method of claim 1, further comprising delivering the knowledge to a client selected from the group consisting of computer network, computer, and computer application. 5. The method claim 4, wherein the delivering the knowledge is implemented by a delivery method selected from the group consisting of on-demand data retrieval, scheduled data delivery, data publishing, data query response. 6. The method of claim 1, further comprising analyzing the knowledge with an analytics engine so as to render the knowledge into wisdom, the analytics engine operative in accordance with a repository of knowledge and information. 7. A knowledge management system comprising: a first computer configured to process unstructured data with a process engine so as to render the unstructured data into structured data, the unstructured data received from at least one data source; a second computer configured to: analyze the structured data with an analysis engine so as identify information, process the information with a reasoning engine or an inference engine so as to enhance the information into non-obvious knowledge, the reasoning engine operative in accordance with an expert-knowledge database. 8. The knowledge management system of claim 7, wherein the data source is selected from the group consisting of sensor, database, crowd sourcing, and computer network. 9. The knowledge management system of claim 7, wherein the analysis engine is selected from the group consisting of engines configured to perform data fusion, data mining, modeling, simulation, video analytics, machine learning, facial recognition, and Optical Character Recognition (OCR). 10. The knowledge management system of claim 7, wherein the second computer is further configured to deliver the knowledge to a client using a delivery method, the client selected from the group consisting of computer network, computer, and computer application. 11. The knowledge management system of claim 10, wherein the delivery method is selected from the group consisting of on-demand data retrieval, scheduled data delivery, data publishing, data query response. 12. The knowledge management system of claim 7, wherein the second computer is further configured to analyze the knowledge with an analytics engine so as render the knowledge into wisdom, the analytics engine operative in accordance with a repository of knowledge and information. 13. The knowledge management system of claim 7, wherein the first computer is implemented in a first computer network. 14. The knowledge management system of claim 8, wherein the second computer is implemented in a second computer network. 15. The knowledge management system of claim 7, wherein the unstructured data is selected from the group consisting of traffic data, pollution data, and crime data. 16. The knowledge management system of claim 7, wherein the second computer is further configured to apply Case Based Reasoning (CBR) to the information. 17. The knowledge management system of claim 7, wherein the first computer is further configured to analyze the structured data with an analysis engine so as identify information. 18. The knowledge management system of claim 17, wherein the analysis engine is selected from the group consisting of engines configured to perform data fusion, data mining, modeling, simulation, video analytics, machine learning, facial recognition, and Optical Character Recognition (OCR). 19. The knowledge management system of claim 7, wherein the first computer is further configured to process the information with a reasoning engine or an inference engine so as to enhance the information into non-obvious knowledge, the reasoning engine operative in accordance with an expert-knowledge database. 20. The knowledge management system of claim 7, wherein the first computer is further configured to apply Case Based Reasoning (CBR) to the information.