Y. Kornatzky and P. Shoval. Conceptual design of object-oriented database schemas using the binary-relationship model. Data & Knowledge Engineering, 14:265--288, 1994.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....Keywords: object oriented databases, database design, software reuse, delegation. 1 Introduction Object oriented (OO) logical design can be essentially defined as being the mapping of a given conceptual schema into an OODBMS schema (logical schema) Several authors have addressed this topic [Elm93,Kor94,Nac91,Nar93,Sil95], where a number of strategies for the mapping of conceptual ER schemata into OO databases has been proposed. However, these proposals do not allow effective reuse of database objects, mostly because they employ the use of inter related complex object structures, which is conflicting with aspects ....

....The most common strategy applied in the mapping of an ER schema into an OO database schema is to map both entity and relationship types into complex object classes. Inverse attributes are defined for each relationship in both participant classes, in a way that related objects refer to each other [Elm93,Kor94,Nar93]. Figure 2 shows the OO schema that results from the mapping of the ER schema of figure 1, according to this strategy. Item description: String price: Currency orderLines: Set[Order Line] Customer name: String addr: Address orders: Set[Order] Order order#: Integer date: Date customer: Customer ....

KORNATZKY, Y.; SHOVAL, P. Conceptual Design of Object-Oriented Database Schemas Using the Binary-Relationship Model. Data & Knowledge Engineering, v.14, p.265-288, 1994.

....has been done to map semantic models to relational systems (e.g. 33] 27] and the results of this big amount of work have also been exploited in practice for long. The transformation of conceptual models to object oriented databases has been addressed by only few number of proposals ( 26] [22], 5] Although these proposals provide some step toward designing OO databases based on conceptual modelling, they are not general enough in all aspects. Clearly, more work has to be done in this area in order to define a general transformation mechanism. On one hand, advanced modelling ....

....also been implemented in some CASE tools. In [7] and [6] a formalized variant of NIAM (an early simpler version of PSM) is mapped to nested (or flat) relational structures (see e.g. 28] In these papers internal models are captured in terms of a tree like intermediate representation. In [26] [22] and [5] semantic models are transformed into object oriented databases. Our work belongs to this category inspired by our conclusion that more research has to be done in this area. Although the mentioned approaches provide valuable steps, they are not general enough. This comes basicly from the ....

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Y. Kornatzky and P. Shoval. Conceptual design of object-oriented database schemas using the binary-relationship model. Data & Knowledge Engineering, 14:265--288, 1994.

....(3) augment the OO schema with behavioral constructs. These considerations suggest that a mechanism for transforming conceptual (semantic) models into OO database systems is needed. The transformation of conceptual models to OO databases has already been addressed by some proposals (e.g. 13] [9], 1] Although existing proposals provide some step toward defining such a mapping, they are not general enough in all aspects. On one hand, advanced conceptual modelling constructs (set types, list types, generalisation) are not considered. On the other hand, tranformation alternatives not ....

Y. Kornatzky and P. Shoval. Conceptual design of object-oriented database schemas using the binary-relationship model. Data & Knowledge Engineering, 14:265--288, 1994.

....conceptual models to internal representations is not new. Much valuable previous work has been done to map conceptual models to relational systems (e.g. 23] 18] 5] 4] The transformation of conceptual models to OO databases has been addressed by only few number of proposals ( 17] [13], 2] In [17] and [2] the transformation of ER to OO databases is considered, while [13] describes the transformation of (binary) NIAM to OO. Although these proposals provide some step toward defining such a mapping, they are not general enough in all aspects. On the one hand, advanced ....

.... work has been done to map conceptual models to relational systems (e.g. 23] 18] 5] 4] The transformation of conceptual models to OO databases has been addressed by only few number of proposals ( 17] 13] 2] In [17] and [2] the transformation of ER to OO databases is considered, while [13] describes the transformation of (binary) NIAM to OO. Although these proposals provide some step toward defining such a mapping, they are not general enough in all aspects. On the one hand, advanced conceptual modelling constructs (set types, list types, generalisation) are not considered. On the ....

[Article contains additional citation context not shown here]

Y. Kornatzky and P. Shoval. Conceptual design of object-oriented database schemas using the binaryrelationship model. Data & Knowledge Engineering, 14:265--288, 1994.

....implemented in some CASE tools. In [BW92] and [BKM94] a formalized variant of NIAM (an early simpler version of PSM) is mapped to nested (or flat) relational structures (see e.g. SS86] In these papers internal models are captured in terms of a tree like intermediate representation. In [NCB92] KS94] and [BMP95] semantic models are transformed into object oriented databases. Our work belongs to this last category inspired by our conclusion that more research has to be done in this area. We consider next generation database systems as target environments of the transformation. It is commonly ....

Y. Kornatzky and P. Shoval. Conceptual design of object-oriented database schemas using the binary-relationship model. Data & Knowledge Engineering, 14:265--288, 1994.

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Y. Kornatzky and P. Shoval. Conceptual design of object-oriented database schemas using the binary-relationship model. Data & Knowledge Engineering, 14:265--288, 1994.

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