Abstract: An intuitive dashboard framework for creating, managing and publishing a collection of visualization gadgets for critical environments. It may further reveal intelligent gadgets to visualize critical environmental data in wet chemistry laboratories, and a healthcare and life science environment that are easy to configure, customize and deploy for a web dashboard presentation.

Abstract: An intuitive dashboard framework for creating, managing and publishing a collection of visualization gadgets for critical environments. It may further reveal intelligent gadgets to visualize critical environmental data in wet chemistry laboratories, and a healthcare and life science environment that are easy to configure, customize and deploy for a web dashboard presentation.

Abstract: An approach for dashboard and point configuration. A dashboard may be provided for a particular environment and have user defined gadgets. The dashboard and gadgets may be mapped to a web dashboard. The dashboard may be modified and configured. The gadgets may be moved, reconfigured and resized on the dashboard. A user may have a single view where the control points may be viewed and identify to which an entity that they are mapped. There may be a customized view of where the points can be identified that have been associated to which dashboard.

Abstract: In accordance with one aspect of the present invention, a method for implementing a diagnostic system pertaining to a complex system includes receiving, by a computer implemented system, an observed symptom that characterizes a discrepancy report of a complex system, associating the observed symptom with contents of at least one electronic manual to capture relevant information therefrom, and evaluating the relevant information by the computer implemented system to recommend at least one desired action for mitigation of the discrepancy report without assuming knowledge about a historical discrepancy report similar to the reported discrepancy.

Abstract: An intelligent information-mining system extracts desired intelligent information from unstructured text data in documents to categorize the unstructured text data based on the extracted desired intelligent information. This is accomplished by obtaining unstructured text data from documents in an electronic format. The obtained unstructured text data is then transformed into unstructured neutral format data. The transformed unstructured neutral format data is then converted into structured data based on desired intelligent information. Desired intelligent information is then extracted from the structured data by using a multilayer self-organizing maps (MSOM) algorithm.

Abstract: A system and a method for an automated intelligent information mining includes receiving unstructured text from various text sources; extracting multiple key-phrases from the unstructured text; generating template and dynamic information contextual relation maps by mapping the extracted key-phrases to three-dimensional maps using a self organizing map, and a gaussian distribution technique. Further, the technique includes forming word clusters and constructing corresponding key-phrase frequency histograms for each of the generated contextual relation maps. Template and dynamic information three-dimensional structured document maps from the constructed phrase frequency histograms and the generated self-organizing maps. Desired information is extracted by mapping the generated dynamic information three-dimensional structured map onto the template three-dimensional structured map. A fuzzy prediction algorithm is used in possible error correction in extracting the desired intelligent information.

Abstract: Knowledge stores, interactive diagnostic services, and interactive diagnostic systems are presented. Symptoms associated with an observed problem are used to mine a knowledge store for questions. Interactive answers to the questions are used to dynamically mine the data store for potential causes and for corrective actions to the problem.

Abstract: A system and a method for an automated intelligent information mining includes receiving unstructured text from various text sources; extracting multiple key-phrases from the unstructured text; generating template and dynamic information contextual relation maps by mapping the extracted key-phrases to three-dimensional maps using a self organizing map, and a gaussian distribution technique. Further, the technique includes forming word clusters and constructing corresponding key-phrase frequency histograms for each of the generated contextual relation maps. Template and dynamic information three-dimensional structured document maps from the constructed phrase frequency histograms and the generated self-organizing maps. Desired information is extracted by mapping the generated dynamic information three-dimensional structured map onto the template three-dimensional structured map. A fuzzy prediction algorithm is used in possible error correction in extracting the desired intelligent information.

Abstract: The present invention provides an intelligent information-mining system to extract desired intelligent information from unstructured text data in documents to categorize the unstructured text data based on the extracted desired intelligent information. This is accomplished by obtaining unstructured text data from documents in an electronic format. The obtained unstructured text data is then transformed into unstructured neutral format data. The transformed unstructured neutral format data is then converted into structured data based on desired intelligent information. Desired intelligent information is then extracted from the structured data by using a multilayer self-organizing maps (MSOM) algorithm.