An ontology-based procedure for generating object model from text description
作者:Waralak Vongdoiwang, Dencho N. Batanov
摘要
The main objective of the procedure proposed in this paper is to use ontologies to convert a problem domain text description into an object model. The object model of a system consists of objects, identified from the text description and structural linkages corresponding to existing or established relationships. The ontologies provide metadata schemas, offering a controlled vocabulary of concepts. At the center of both object models and ontologies are objects within a given problem domain. The difference is that while the object model should contain explicitly shown structural dependencies between objects in a system, including their properties, relationships, events, and processes, the ontologies are based on related terms only. On the other hand, the object model refers to the collections of concepts used to describe the generic characteristics of objects in object-oriented languages. Because ontology is accepted as a formal, explicit specification of a shared conceptualization, we can naturally link ontologies with object models, which represent a system-oriented map of related objects, described as Abstract Data Types (ADTs). This paper addresses ontologies as a basis of a complete methodology for object modeling, including available tools, particularly CORPORUM OntoExtract and VisualText, which can help the conversion process. This paper describes how the developers can implement this methodology on the basis of an illustrative example.
论文关键词:Object model, Ontologies, Ontology library, Abstract data types (ADTs), CORPORUM
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论文官网地址:https://doi.org/10.1007/s10115-005-0218-5