Abstract: System, method and computer product for baseline modeling a product or process. A service database contains process data. A preprocessor processes the data into a predetermined format. A baseline modeling component builds a baseline model from the preprocessed data, wherein the baseline model relates process performance variables as a function of process operating conditions.

Abstract: The present invention provides a computer implemented method for maintaining a knowledge base. The method taking as input, text examples that are tagged with a structural markup language; and maps knowledge nodes in the knowledge base with the tagged examples to determine: (1) the knowledge nodes that best match the tagged examples, and (2) the knowledge nodes that are best connected to the tagged examples. The results are displayed to the user, who verifies that the tagged examples match the selected knowledge nodes. Based on the user response, indices of the knowledge nodes are updated. The method may further include determining discrepancies between the existing knowledge base and the tagged examples, and further displaying the discrepancies to the user. The user can update the missing information in the knowledge base to remove the discrepancies in the existing knowledge base.

Abstract: The present invention provides a system and method for automatically tagging documents with a given set of user-defined tags. The present invention takes as input the document to be tagged, and also a list of tags along with keywords belonging to these tags. The present invention then selects a tag, and scans the document for sentences that have keywords corresponding to the selected tag. Sentences that match the keywords are tagged with the selected tag. Once the whole document has been scanned, the present invention selects the next tag and repeats the whole process. This process is repeated until all tags have been seen.

Abstract: The present invention provides a method for maintaining a knowledge base. The method taking as input, text examples that are tagged with a structural markup language; and maps knowledge nodes in the knowledge base with the tagged examples to determine: (1) the knowledge nodes that best match the tagged examples, and (2) the knowledge nodes that are best connected to the tagged examples. The results are displayed to the user, who verifies that the tagged examples match the selected knowledge nodes. Based on the user response, indices of the knowledge nodes are updated. The method may further include determining discrepancies between the existing knowledge base and the tagged examples, and further displaying the discrepancies to the user. The user can update the missing information in the knowledge base to remove the discrepancies in the existing knowledge base.

Abstract: A system, method and computer program product is provided for tagging various portions of documents and measuring their usefulness for a particular purpose. The method takes a document that is to be tagged as input, and facilitates a user to tag various portions of the document, which the user considers as important. These tags are user-defined. Subsequently, the usefulness of the document for a particular purpose is determined by calculating quality of the document. The quality of a document is a combination of completeness and various other factors such as priority and severity as reported by a customer. Quality is used to sort results of a search query, which is made by the user, on the documents.

Abstract: An exemplary embodiment of the invention relates to a method, system, and storage medium for building and maintaining a remote monitoring and diagnostics knowledge base via an alert fusion system. The method comprises receiving at least one alert relating to a condition detected on field equipment being remotely monitored. The method further comprises processing the alert which includes evaluating a severity level, and if a severity threshold is reached, generating a summary alert. The summary alert is transmitted to an end user at a remote client. The invention also includes a system and a storage medium for implementing the invention.

Abstract: This disclosure describes a system and method for providing stability analysis of profitability calculations of target markets for goods or services. The system and method of this disclosure uses an internal experience database and external demographic databases. The system and method evaluates demographic data and calculates the risk associated with a variety of different goods or services. The system and method comprises a number of steps. First, a data acquisition module associates descriptor variables with different goods or services in a portfolio of goods or services. Second, a risk model module processes the various goods or services into distinct groups based upon specified characteristics. The risk model module also calculates risk values for the various goods or services and sorts the portfolio of goods or services into specified categories. Third, a profitability module calculates the net present value of each of the goods or services in the entire portfolio.

Abstract: System, method and computer product for baseline modeling a product or process. A service database contains process data. A preprocessor processes the data into a predetermined format. A baseline modeling component builds a baseline model from the preprocessed data, wherein the baseline model relates process performance variables as a function of process operating conditions.