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Some domain-specific languages expand over time to include full-featured programming tools, which further complicates the question of whether a language is domain-specific or not. A good example is the functional language XSLT, specifically designed for transforming one XML graph into another, which has been extended since its inception to ...
The simplest type of lexical choice involves mapping a domain concept (perhaps represented in an ontology) to a word. For example, the concept Finger might be mapped to the word finger. A more complex situation is when a domain concept is expressed using different words in different situations.
Each domain ontology typically models domain-specific definitions of terms. For example, the word card has many different meanings. An ontology about the domain of poker would model the "playing card" meaning of the word, while an ontology about the domain of computer hardware would model the "punched card" and "video card" meanings.
For instance, in basketball there are many words that are specific to the sport. Free throw, court, half court, three pointer, and point guard are all terms that are specific to the sport of basketball. These words make very little sense when used outside of the semantic domain of basketball. Another example of a semantic domain would be a ...
Terminology is a group of specialized words and respective meanings in a particular field, and also the study of such terms and their use; [1] the latter meaning is also known as terminology science. A term is a word, compound word , or multi-word expression that in specific contexts is given specific meanings—these may deviate from the ...
In information science, an upper ontology (also known as a top-level ontology, upper model, or foundation ontology) is an ontology (in the sense used in information science) that consists of very general terms (such as "object", "property", "relation") that are common across all domains.
Well-known examples of declarative domain-specific languages (DSLs) include the yacc parser generator input language, QML, the Make build specification language, Puppet's configuration management language, regular expressions, Datalog, answer set programming and a subset of SQL (SELECT queries, for example).
Domain-specific learning theories of development hold that we have many independent, specialised knowledge structures (domains), rather than one cohesive knowledge structure. Thus, training in one domain may not impact another independent domain. [ 1 ]