Matches in DBpedia 2016-04 for { ?s ?p "Business rule mining is the process of extracting essential intellectual business logic in the form of Business Rules from packaged or Legacy software applications, recasting them in natural or formal language, and storing them in a source rule repository for further analysis or forward engineering. The goal is to capture these legacy business rules in a way that the business can validate, control and change them over time."@en }
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- Business_rule_mining abstract "Business rule mining is the process of extracting essential intellectual business logic in the form of Business Rules from packaged or Legacy software applications, recasting them in natural or formal language, and storing them in a source rule repository for further analysis or forward engineering. The goal is to capture these legacy business rules in a way that the business can validate, control and change them over time.".
- Q5001938 abstract "Business rule mining is the process of extracting essential intellectual business logic in the form of Business Rules from packaged or Legacy software applications, recasting them in natural or formal language, and storing them in a source rule repository for further analysis or forward engineering. The goal is to capture these legacy business rules in a way that the business can validate, control and change them over time.".
- Business_rule_mining comment "Business rule mining is the process of extracting essential intellectual business logic in the form of Business Rules from packaged or Legacy software applications, recasting them in natural or formal language, and storing them in a source rule repository for further analysis or forward engineering. The goal is to capture these legacy business rules in a way that the business can validate, control and change them over time.".
- Q5001938 comment "Business rule mining is the process of extracting essential intellectual business logic in the form of Business Rules from packaged or Legacy software applications, recasting them in natural or formal language, and storing them in a source rule repository for further analysis or forward engineering. The goal is to capture these legacy business rules in a way that the business can validate, control and change them over time.".