Browsing by Author "Xiaoying WU"

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    ORA-SS: An Object-Relationship-Attribute Model for Semi-Stractured Data
    (2000-12-01T00:00:00Z) Gillian DOBBIE; Xiaoying WU; Tok Wang LING; Mong Li LEE
    Semi-structured data is becoming increasingly important with the introduction of XML and related languages and technologies. The recent shift from DTDs (document type definitions) to XML-Schema for XML data highlights the importance of a schema definition for semi-structured data applications. At the same time, there is a move to extend semi-structured data models to express richer semantics. In this paper we propose a semantically rich data model for semi-structured data, ORA-SS (Object-Relationship-Attribute model for Semi-Structured data). ORA-SS not only reflects the nested structure of semi-structured data, but it also distinguishes between objects, relationships and attributes. It is possible to specify the degree of n-ary relationships and indicate if an attribute is an attribute of a relationship or an attribute of an object. Such information is lacking in existing semi-structured data models, and is essential information for designing an efficient and non-redundant storage organization for semi-structured data.