Abstract: A method, system and computer program product for generating an optimization model. A prescriptive model including a structured set of data and instance(s) of templates of a technical and/or business prescriptive domain is received, where the instances of the templates define goals and/or constraints for the structured set of data. The business prescriptive domain extends the technical prescriptive domain defining a generic optimization problem and the business prescriptive domain defines a more specific business problem. The prescriptive model is translated into a technical prescriptive model using a set of mapping rules to translate the instance(s) of the templates of the business prescriptive domain into instance(s) of the templates of the technical prescriptive domain from which the business prescriptive domain extends. Furthermore, the technical prescriptive model is translated into an optimization model, where the optimization model is solved.

Abstract: A method, system and computer program product for operating an expert system. Technical prescriptive domains and business prescriptive domains containing one or more templates are accessed, where each template defines an intention, goal or constraint. Furthermore, each technical prescriptive domain defines a generic optimization problem and each business prescriptive domain extends a technical prescriptive domain and defines a more specific business problem. A structure of data is received and analyzed with the technical prescriptive domains and business prescriptive domains to identify technical and/or business prescriptive domains that match the received structure set of data in data structure and/or semantic terms.

Abstract: A method, system and computer program product for generating a solution to an optimization problem. A received structured set of data is analyzed with the prescriptive domains to identify one or more prescriptive domains that match the received structure set of data in data structure and/or semantic terms. A user selection of one of the presented possible prescriptive intentions from the intention templates in the identified one or more prescriptive domains that match the received structure set of data in data structure and/or semantic terms is received. A prescriptive model is then generated from the prescriptive domain containing the selected prescriptive intention. The prescriptive model is translated into a technical prescriptive model using a set of mapping rules. Furthermore, the technical prescriptive model is translated into an optimization model. The optimization model is solved and an output defining a solution from the solved optimization model is presented.

Abstract: A method, system and computer program product for generating a solution to an optimization problem. A received structured set of data is analyzed with the prescriptive domains to identify one or more prescriptive domains that match the received structure set of data in data structure and/or semantic terms. A user selection of one of the presented possible prescriptive intentions from the intention templates in the identified one or more prescriptive domains that match the received structure set of data in data structure and/or semantic terms is received. A prescriptive model is then generated from the prescriptive domain containing the selected prescriptive intention. The prescriptive model is translated into a technical prescriptive model using a set of mapping rules. Furthermore, the technical prescriptive model is translated into an optimization model. The optimization model is solved and an output defining a solution from the solved optimization model is presented.

Abstract: A method, system and computer program product for generating a solution to an optimization problem. A received structured set of data is analyzed with the prescriptive domains to identify one or more prescriptive domains that match the received structure set of data in data structure and/or semantic terms. A user selection of one of the presented possible prescriptive intentions from the intention templates in the identified one or more prescriptive domains that match the received structure set of data in data structure and/or semantic terms is received. A prescriptive model is then generated from the prescriptive domain containing the selected prescriptive intention. The prescriptive model is translated into a technical prescriptive model using a set of mapping rules. Furthermore, the technical prescriptive model is translated into an optimization model. The optimization model is solved and an output defining a solution from the solved optimization model is presented.

Abstract: A method, system and computer program product for generating a solution to an optimization problem. A received structured set of data is analyzed with the prescriptive domains to identify one or more prescriptive domains that match the received structure set of data in data structure and/or semantic terms. A user selection of one of the presented possible prescriptive intentions from the intention templates in the identified one or more prescriptive domains that match the received structure set of data in data structure and/or semantic terms is received. A prescriptive model is then generated from the prescriptive domain containing the selected prescriptive intention. The prescriptive model is translated into a technical prescriptive model using a set of mapping rules. Furthermore, the technical prescriptive model is translated into an optimization model. The optimization model is solved and an output defining a solution from the solved optimization model is presented.

Abstract: A method, system and computer program product for generating a solution to an optimization problem. A received structured set of data is analyzed with the prescriptive domains to identify one or more prescriptive domains that match the received structure set of data in data structure and/or semantic terms. A user selection of one of the presented possible prescriptive intentions from the intention templates in the identified one or more prescriptive domains that match the received structure set of data in data structure and/or semantic terms is received. A prescriptive model is then generated from the prescriptive domain containing the selected prescriptive intention. The prescriptive model is translated into a technical prescriptive model using a set of mapping rules. Furthermore, the technical prescriptive model is translated into an optimization model. The optimization model is solved and an output defining a solution from the solved optimization model is presented.

Abstract: A method, system and computer program product for generating an optimization model. A prescriptive model including a structured set of data and instance(s) of templates of a technical and/or business prescriptive domain is received, where the instances of the templates define goals and/or constraints for the structured set of data. The business prescriptive domain extends the technical prescriptive domain defining a generic optimization problem and the business prescriptive domain defines a more specific business problem. The prescriptive model is translated into a technical prescriptive model using a set of mapping rules to translate the instance(s) of the templates of the business prescriptive domain into instance(s) of the templates of the technical prescriptive domain from which the business prescriptive domain extends. Furthermore, the technical prescriptive model is translated into an optimization model, where the optimization model is solved.

Abstract: A method, system and computer program product for operating an expert system. Technical prescriptive domains and business prescriptive domains containing one or more templates are accessed, where each template defines an intention, goal or constraint. Furthermore, each technical prescriptive domain defines a generic optimization problem and each business prescriptive domain extends a technical prescriptive domain and defines a more specific business problem. A structure of data is received and analyzed with the technical prescriptive domains and business prescriptive domains to identify technical and/or business prescriptive domains that match the received structure set of data in data structure and/or semantic terms.

Abstract: A method for generating a domain-specific software solution may include receiving a request for a solution model to accomplish one or more tasks. A domain model may be selected in response to the request for the solution model. The solution model may be configured based on the selected domain model. The solution model may be configured by selecting a set of candidate technical assets for each task of the solution model. The solution model may also be configured by determining for each candidate technical asset if the one or more requirements of the task of the solution model are satisfiable by the candidate technical asset. The solution model may be further configured by selecting a technical asset for each task to be included in a solution implementation.

Abstract: A method for generating a domain-specific software solution may include receiving a request for a solution model to accomplish one or more tasks. A domain model may be selected in response to the request for the solution model. The solution model may be configured based on the selected domain model. The solution model may be configured by selecting a set of candidate technical assets for each task of the solution model. The solution model may also be configured by determining for each candidate technical asset if the one or more requirements of the task of the solution model are satisfiable by the candidate technical asset. The solution model may be further configured by selecting a technical asset for each task to be included in a solution implementation.