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Domain knowledge is knowledge of a specific discipline or field in contrast to general (or domain-independent) knowledge. [1] The term is often used in reference to a more general discipline—for example, in describing a software engineer who has general knowledge of computer programming as well as domain knowledge about developing programs for a particular industry.
Domain in the realm of software engineering commonly refers to the subject area on which the application is intended to apply. In other words, during application development, the domain is the "sphere of knowledge and activity around which the application logic revolves." —Andrew Powell-Morse [2] Domain: A sphere of knowledge, influence, or ...
Domain engineering, is the entire process of reusing domain knowledge in the production of new software systems. It is a key concept in systematic software reuse and product line engineering. A key idea in systematic software reuse is the domain. Most organizations work in only a few domains.
Sample domain model for a health insurance plan. In software engineering, a domain model is a conceptual model of the domain that incorporates both behavior and data. [1] [2] In ontology engineering, a domain model is a formal representation of a knowledge domain with concepts, roles, datatypes, individuals, and rules, typically grounded in a description logic.
Ontology engineering aims to make explicit the knowledge contained in software applications, and organizational procedures for a particular domain. Ontology engineering offers a direction for overcoming semantic obstacles, such as those related to the definitions of business terms and software classes.
Domain-specific languages can help to shift the development of business information systems from traditional software developers to the typically larger group of domain-experts who (despite having less technical expertise) have a deeper knowledge of the domain. [9] Domain-specific languages are easier to learn, given their limited scope.
Software engineering is a field within computer science focused on designing, developing, testing, and maintaining of software applications.It involves applying engineering principles and computer programming expertise to develop software systems that meet user needs.
In computer science, a rule-based system is a computer system in which domain-specific knowledge is represented in the form of rules and general-purpose reasoning is used to solve problems in the domain. Two different kinds of rule-based systems emerged within the field of artificial intelligence in the 1970s: