Constructing Comparable Conceptual Models with Domain Specific Languages
作者： Daniel Pfeiffer
DOI:
关键词: Class (computer programming) 、 Abstraction 、 Domain analysis 、 Semantic data model 、 Computer science 、 Synonym (database) 、 Artificial intelligence 、 Natural language processing 、 Conceptual model 、 Domain-specific language 、 Domain model 、 Programming language
摘要: The scientific discussion on the comparison of conceptual models has mainly focused existing modelling artefacts so far. Only minimal assumptions are made underlying languages. However, we argue that if constructed with a particular type language model process can be significantly simplified. For this purpose introduce class operational domain specific We formally show class: (1) type, synonym, homonym, and abstraction conflicts eliminated as well (2) semantic traced back to syntactic one. Based PICTURE demonstrate advanced semantical operations facilitated by class.
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