Abstract: In accordance with the present disclosure, a method for operating a virtual application comprises loading an image of the virtual application into a memory of an information handling system from a deployment package is disclosed. A shared library that is required for executing the virtual application is loaded. An address for a memory location corresponding to an entry point for a function in the shared library is saved to an address table for the virtual application. The virtualization data from the deployment package is used to determine whether the address for the memory location corresponding to the entry point for a function in the shared library should be adjusted.

Abstract: The invention provides a classification engine for classifying documents that makes use of functions included in a similarity search engine. The classification engine executes a classify command from a client that makes use of similarity search results, and rules files, classes files, and a classification profile embedded in the classification command. When the classification receives a classify command from a client, it retrieves a classification profile and input documents to be classified, sends extracted values from the input documents based on anchor values to a XML transformation engine to obtain a search schema, requests a similarity search by a search manager to determine the similarity between input documents and anchor values, and classifies the input documents according to the rules files, classes files, and the classification profile. The client is then notified that the classify command has been completed and the classification results are stored in a database.

Abstract: The resource management system and method is a solution for balancing or leveling resource utilization in business processes. The solution relies on an analysis model implemented on a computer system with a user interface. A user enters resource capability data, resource requirements data including prioritized tasks and task categories, and a time period for providing dynamic allocation of resources to prioritized tasks within prioritized task categories. The invention makes use of categorization data for analyzing and altering the data within the defined time range or other specified data selection. Using a predefined distribution policy and processing limitations, such as the number of people expected to work during a shift on a given day, the model modifies categorization results to mathematically smooth the peaks and valleys of workload fluctuations in business processes. The results are displayed on the user interface.

Abstract: The invention relates to transactional analysis for identifying obvious and nonobvious relationships between target database documents and source database documents. It is particularly applicable to processes for searching, analyzing and operating on transactional and historical data found in remote and disparate databases for uncovering non-obvious or fuzzy relationships between people, places and events, and finding links and dependencies that would not otherwise be identifiable within a set of data.

Abstract: Many business processes involve manually controlling and monitoring informational artifacts, such as documents or insurance claims, through a workflow process. The present invention provides a dynamic and flexible method for controlling workflow processes by arranging complex tasks into predefined sequences having decision points that control the process to completion. The method comprises defining procedural components of a process flow model, defining control links for connecting the procedural components, defining data components of a process data model, defining data links for connecting the procedural components and the data components, and invoking the procedural components for producing a workflow process result. The procedural components comprise nodes in the workflow process, which may be automated, interactive or manual procedures. The nodes are connected and executed in a defined sequence determined by control links.

Abstract: The invention provides a classification engine for classifying documents that makes use of functions included in a similarity search engine. The classification engine executes a classify command from a client that makes use of similarity search results, and rules files, classes files, and a classification profile embedded in the classification command. When the classification receives a classify command from a client, it retrieves a classification profile and input documents to be classified, sends extracted values from the input documents based on anchor values to a XML transformation engine to obtain a search schema, requests a similarity search by a search manager to determine the similarity between input documents and anchor values, and classifies the input documents according to the rules files, classes files, and the classification profile. The client is then notified that the classify command has been completed and the classification results are stored in a database.