earticle

영어

A data model is a plan for building a database and is comparable to an architect's building plans. There are two major methodologies used to create a data model: the Entity-Relationship (ER) approach and the Object Model. This paper will be discussed only the object model approach. The goal of the data model is to certify that all data objects required by the database are completely and accurately represented. Ontologies are objects of interest (Universal of discourse). The objective of this paper is to simplify object models compare with ontologies models. There are some similarities between objects in object models and concepts sometimes called classes in ontologies. Ontology can help building object model. The object model is the center of data modeling; on the other hand ontology itself has the concept which is the basis of knowledge base. Because ontologies are closely related to modern object-oriented software design, it is good attempt to adapt existing object-oriented software development methodologies for the task of ontology development. Selected approaches originate from research in artificial intelligence; knowledge representation and object modeling are presented in this paper. Some issues mentioned in this paper are related with their connection; some are addressed directly into the similarities or differences point of view of both. This paper also presents the available tools, methods, procedures, language, reusability which shows the corporation with object modeling and ontologies.