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.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer implemented method for generating a solution to an optimization problem, the method comprising: receiving a structured set of data; accessing, by a processor, a plurality of prescriptive domains containing one or more templates, each template defining an intention, goal or constraint; analyzing, by the processor, the received structured set of data 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; presenting a plurality of 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; receiving a user input selecting one of the presented plurality of possible prescriptive intentions; generating, by the processor, a prescriptive model from the prescriptive domain containing the selected prescriptive intention, the prescriptive model comprising the structured set of data and one or more instances of templates defining goals and/or constraints from the prescriptive domain containing the selected prescriptive intention; translating, by the processor, the prescriptive model into a technical prescriptive model using a set of mapping rules to translate instances of the templates of the prescriptive domain into instances of templates of a technical prescriptive domain; translating, by the processor, the technical prescriptive model into an optimization model; solving, by the processor, the optimization model; and presenting an output defining a solution from the solved optimization model. 2. The method as recited in claim 1 further comprising: accessing goal and/or constraint templates from the prescriptive domain containing the selected prescriptive intention; presenting instances of the goal and/or constraint templates from the prescriptive domain containing the selected prescriptive intention; receiving a further user input selecting one or more instances of the goal and/or constraint template(s) from the presented instances of the goal and/or constraint templates; and adapting the generated prescriptive model according to the selected one or more instances of the goal and/or constraint template(s). 3. The method as recited in claim 2 further comprising: extracting natural language components from the received structured set of data and matching at least some of the extracted natural language components to templates within the prescriptive domain containing the selected prescriptive intention, and wherein the presenting of the instances of the goal and/or constraint templates from the prescriptive domain containing the selected prescriptive intention comprises presenting those instances of the goal and/or constraint templates using the extracted natural language components. 4. The method as recited in claim 1, wherein each instance of a template of the prescriptive domain comprises a mapping rule, the mapping rule defining the translation of a respective instance of the template of the prescriptive model into an instance of a template of the technical prescriptive model and wherein the translating of the prescriptive model into the technical prescriptive model using the set of mapping rules to translate the instances of the templates of the prescriptive domain into the instances of the templates of the technical prescriptive domain comprises: accessing each translation rule in a respective instance of the template of the prescriptive domain and executing each accessed translation rule on the respective instance of the template of the prescriptive domain. 5. The method as recited in claim 1 further comprising: extracting natural language components from the structured set of data; mapping the extracted natural language components to components within the instance(s) of a template of the prescriptive model; and maintaining the mapped natural language components through the translation of the prescriptive model into the technical prescriptive model and through the translation of the technical prescriptive model into the optimization model and wherein the presented output defining a solution from the solved optimization model includes the extracted natural language components. 6. A computer program product for generating a solution to an optimization problem, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for: receiving a structured set of data; accessing a plurality of prescriptive domains containing one or more templates, each template defining an intention, goal or constraint; analyzing the received structured set of data 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; presenting a plurality of 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; receiving a user input selecting one of the presented plurality of possible prescriptive intentions; generating a prescriptive model from the prescriptive domain containing the selected prescriptive intention, the prescriptive model comprising the structured set of data and one or more instances of templates defining goals and/or constraints from the prescriptive domain containing the selected prescriptive intention; translating the prescriptive model into a technical prescriptive model using a set of mapping rules to translate instances of the templates of the prescriptive domain into instances of templates of a technical prescriptive domain; translating the technical prescriptive model into an optimization model; solving the optimization model; and presenting an output defining a solution from the solved optimization model. 7. The computer program product as recited in claim 6, wherein the program code further comprises the programming instructions for: accessing goal and/or constraint templates from the prescriptive domain containing the selected prescriptive intention; presenting instances of the goal and/or constraint templates from the prescriptive domain containing the selected prescriptive intention; receiving a further user input selecting one or more instances of the goal and/or constraint template(s) from the presented instances of the goal and/or constraint templates; and adapting the generated prescriptive model according to the selected one or more instances of the goal and/or constraint template(s). 8. The computer program product as recited in claim 7, wherein the program code further comprises the programming instructions for: extracting natural language components from the received structured set of data and matching at least some of the extracted natural language components to templates within the prescriptive domain containing the selected prescriptive intention, and wherein the presenting of the instances of the goal and/or constraint templates from the prescriptive domain containing the selected prescriptive intention comprises presenting those instances of the goal and/or constraint templates using the extracted natural language components. 9. The computer program product as recited in claim 6, wherein each instance of a template of the prescriptive domain comprises a mapping rule, the mapping rule defining the translation of a respective instance of the template of the prescriptive model into an instance of a template of the technical prescriptive model and wherein the translating of the prescriptive model into the technical prescriptive model using the set of mapping rules to translate the instances of the templates of the prescriptive domain into the instances of the templates of the technical prescriptive domain comprises the programming instructions for: accessing each translation rule in a respective instance of the template of the prescriptive domain and executing each accessed translation rule on the respective instance of the template of the prescriptive domain. 10. The computer program product as recited in claim 6, wherein the program code further comprises the programming instructions for: extracting natural language components from the structured set of data; mapping the extracted natural language components to components within the instance(s) of a template of the prescriptive model; and maintaining the mapped natural language components through the translation of the prescriptive model into the technical prescriptive model and through the translation of the technical prescriptive model into the optimization model and wherein the presented output defining a solution from the solved optimization model includes the extracted natural language components. 11. A system, comprising: a memory unit for storing a computer program for generating a solution to an optimization problem; and a processor coupled to the memory unit, wherein the processor is configured to execute the program instructions of the computer program comprising: receiving a structured set of data; accessing a plurality of prescriptive domains containing one or more templates, each template defining an intention, goal or constraint; analyzing the received structured set of data 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; presenting a plurality of 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; receiving a user input selecting one of the presented plurality of possible prescriptive intentions; generating a prescriptive model from the prescriptive domain containing the selected prescriptive intention, the prescriptive model comprising the structured set of data and one or more instances of templates defining goals and/or constraints from the prescriptive domain containing the selected prescriptive intention; translating the prescriptive model into a technical prescriptive model using a set of mapping rules to translate instances of the templates of the prescriptive domain into instances of templates of a technical prescriptive domain; translating the technical prescriptive model into an optimization model; solving the optimization model; and presenting an output defining a solution from the solved optimization model. 12. The system as recited in claim 11, wherein the program instructions of the computer program further comprise: accessing goal and/or constraint templates from the prescriptive domain containing the selected prescriptive intention; presenting instances of the goal and/or constraint templates from the prescriptive domain containing the selected prescriptive intention; receiving a further user input selecting one or more instances of the goal and/or constraint template(s) from the presented instances of the goal and/or constraint templates; and adapting the generated prescriptive model according to the selected one or more instances of the goal and/or constraint template(s). 13. The system as recited in claim 12, wherein the program instructions of the computer program further comprise: extracting natural language components from the received structured set of data and matching at least some of the extracted natural language components to templates within the prescriptive domain containing the selected prescriptive intention, and wherein the presenting of the instances of the goal and/or constraint templates from the prescriptive domain containing the selected prescriptive intention comprises presenting those instances of the goal and/or constraint templates using the extracted natural language components. 14. The system as recited in claim 11, wherein each instance of a template of the prescriptive domain comprises a mapping rule, the mapping rule defining the translation of a respective instance of the template of the prescriptive model into an instance of a template of the technical prescriptive model and wherein the translating of the prescriptive model into the technical prescriptive model using the set of mapping rules to translate the instances of the templates of the prescriptive domain into the instances of the templates of the technical prescriptive domain comprises: accessing each translation rule in a respective instance of the template of the prescriptive domain and executing each accessed translation rule on the respective instance of the template of the prescriptive domain. 15. The system as recited in claim 11, wherein the program instructions of the computer program further comprise: extracting natural language components from the structured set of data; mapping the extracted natural language components to components within the instance(s) of a template of the prescriptive model; and maintaining the mapped natural language components through the translation of the prescriptive model into the technical prescriptive model and through the translation of the technical prescriptive model into the optimization model and wherein the presented output defining a solution from the solved optimization model includes the extracted natural language components.