Abstract: Embodiments for predicting employee performance metrics in a computing environment by a processor. An employee performance is predicted over a selected period of time using a dynamic probabilistic model based on historical data, a time window, current and historical observations of the one or more performance metrics, or a combination thereof.

Abstract: Various embodiments are provided for intelligent application of operational rules to operational data in a computing environment by a processor. One or more operational rules may be extracted and formalized from a knowledge graph, a domain knowledge, or a combination thereof describing one or more operational policies and conditions. The one or more operational rules may be applied to operational data to identify and filter non-compliant operational data.

Abstract: A system and method for reusing application solutions for an application provider are presented. One or more proposed application solutions for a selected application may be monitored. A pool of previous application solutions may be accessed. A set of analytics may be determined for reusing components of one or more previous application solutions for the one or more proposed application solutions.

Abstract: Embodiments for determining routes by one or more processors are described. A first set of route parameters is received. A second set of route parameters is received. At least one of the first set of route parameters and the second set of route parameters includes a route sharing parameter. A first route and a second route are determined based on the first set of route parameters and the second set of route parameters. The first route includes a first shared portion, and the second route comprises a second shared portion. The first shared portion of the first route is within a predetermined distance of the second shared portion of the second route based on the route sharing parameter.

Abstract: Various embodiments are provided for learning policy explanations in a computing environment by a processor. One or more explanations may be provided that justify validity or invalidity of a claim based on one or more rules extracted from one or more segments of text data of a policy data source using a machine learning operation.

Abstract: Various embodiments are provided for correcting policy data in a computing environment by a processor. Incorrect data of one or more rules extracted from one or more segments of text data may be revised to maintain accuracy and correctness of the policy data source according to an active learning operation.

Abstract: Various embodiments are provided for intelligent resolution of conflicting information in a dialog system in a computing environment by a processor. Conflicting information relating to one or more queries may be detected between one or more users using the dialog system. One or more responses may be provided to resolve the conflicting information according to a knowledge domain.

Abstract: Embodiments for intelligent career planning actions in a computing environment by a processor. A career planning model may be created for a user according to a career goal, a user profile, and one or more alternative user profiles and historical data of alternative users having achieved the career goal. A career plan may be generated for the user according to the career planning model.

Abstract: Techniques for automated auditing claims are presented. A policy processor component can determine conditions and constraints relating to claim validity, based on a result of an analysis of policy data of a set of policies associated with a service identity and relating to services and procedures, to facilitate generation of probabilistic logic data relating to the conditions and constraints relating to the claim validity. The policy processor component can encode the conditions and the constraints to generate the probabilistic logic data, and store the probabilistic logic data and information relating to the conditions and constraints in a knowledge database component. A claim management component can determine a validity status of a claim and a probability that the validity status is correct based on evaluation of the probabilistic logic data and claim data relating to the claim. The validity status can be valid or invalid.

Abstract: Embodiments for relationship graph expansion and extraction from a collection of unstructured text data by a processor. A query relating to one or more concepts may be received. The query may be expanded according to a logical reasoning operation and a domain ontology having a set of logical rules. A relationship graph between one or more concepts from a plurality of unstructured text data may be extracted based on an expanded query according to a domain ontology and the set of logical rules.

Abstract: A system and method for reusing application solutions for an application provider are presented. One or more proposed application solutions for a selected application may be monitored. A pool of previous application solutions may be accessed. A set of analytics may be determined for reusing components of one or more previous application solutions for the one or more proposed application solutions.

Abstract: An application automatically composed using natural language processing. A natural language input comprising one or more application requirements is received via an interface. The natural language input is parsed to extract one or more chunks, each chunk representing one of the application requirements, and at least one of the chunks representing at least one of one or more main functionalities described by the application requirements. A coarse architecture logically arranging the main functionalities to satisfy the application requirements is inferred according to the chunks. Existing assets corresponding to the chunks are identified, each asset associated with at least one of the main functionalities. The identified assets are assembled according to the coarse architecture. The assembled assets are deployed as an application.

Abstract: An application automatically composed using natural language processing. A natural language input comprising one or more application requirements is received via an interface. The natural language input is parsed to extract one or more chunks, each chunk representing one of the application requirements, and at least one of the chunks representing at least one of one or more main functionalities described by the application requirements. A coarse architecture logically arranging the main functionalities to satisfy the application requirements is inferred according to the chunks. Existing assets corresponding to the chunks are identified, each asset associated with at least one of the main functionalities. The identified assets are assembled according to the coarse architecture. The assembled assets are deployed as an application.

Abstract: Various embodiments are provided for integrating multiple domain learning and personalization in a dialog system for a user in a computing environment by a processor. One or more problem instances may be defined for multiple domains according to a problem instance template, identified user intent, links to one or more problem solvers associated with the multiple domains, or a combination thereof. A dialog plan may be determined to further define the one or more problem instances in response to user input. A solution may be provided to the user for the one or more problem instances.

Abstract: Various embodiments are provided for using a dialog system for integrating multiple domain learning and problem solving for a user in a computing environment by a processor. One or more problem instances may be defined for one or more selected domains in a multi-domain database according to a problem instance template, identified user intent, links to one or more problem solvers associated with the one or more selected domains, or a combination thereof. A dialog plan may be determined for the one or more problem instances using a dialog system associated with the multi-domain database, wherein each record in the multi-domain database corresponds to a selected database for the one or more selected domains. A solution may be provided to the user for the one or more problem instances. One or more preferences of a user may be learned according to the solution.

Abstract: Technical solutions are described for predicting water quality of a water source over a forecast horizon and for multiple locations. An example computer-implemented method includes receiving a forecast horizon for across which to predict the water quality. The forecast horizon includes a plurality of time periods. The computer-implemented method also includes receiving one or more geographical locations at which to predict the water quality. The computer-implemented method also includes receiving a set of water quality measures for the water source. The computer-implemented method also includes determining predicted water quality measures for the geographical location at each of the plurality of time periods in the forecast horizon based on the water quality measures. The computer-implemented method also includes outputting one or more of the predicted water quality measures.

Abstract: A system and method for interactive training for application providers in a computing environment are presented. A proposed application solution from a user for a selected application may be compared to one or more optimized solutions to identify one or more differences in the proposed application solution. One or more missing assets may be identified from the proposed application solution according to the one or more differences. The user may be surveyed with a survey relating to the missing assets such that survey results are used to train and develop a level of expertise for the user.

Abstract: Embodiments for predicting employee performance metrics in a computing environment by a processor. An employee performance is predicted over a selected period of time using a dynamic probabilistic model based on historical data, a time window, current and historical observations of the one or more performance metrics, or a combination thereof.

Abstract: There is provided a method, a system and a computer program product for supporting a decision making process. The system receives a decision model from a decision maker, the decision model used for determining a solution to a decision problem based on attributes and uncertainties of the decision problem. The decision problem includes information about a plurality of outcome vectors that represent all possible outcomes and the uncertainties associated with the decision problem. The system determines whether the received decision model can be solved without receiving any preference information from the decision maker. The system receives partially specified preference information from the decision maker if the received decision model cannot be solved without any preference information. The system solves the decision model with the partially specified preference information. The system recommends, based on the solution, one or more decisions to the decision maker.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate answering questions that involve mathematical computations are provided. In one embodiment, a computer-implemented method comprises: transforming, by a system operatively coupled to a processor, a natural language query into a first logical representation and extrinsic knowledge into a second logical representation relevant to the natural language query; merging, by the system, the first logical representation and the second logical representation into a third logical representation; and generating, by the system, answers for the natural language query based on processing of the third logical representation.