Conceptual Level Design of Semi-structured Database System: Graph-semantic Based Approach
This work addresses the need for better conceptual modeling tools in database systems, particularly for semi-structured data, but it appears incremental as it builds on existing object-oriented and graph-based paradigms without introducing a fundamentally new approach.
The paper tackles the problem of conceptual design for semi-structured databases by proposing GOOSSDM, a graph-semantic model that enables modeling of irregular, heterogeneous, and hierarchical data, including XML documents, and provides a rule-based transformation to XML Schema Definition (XSD).
This paper has proposed a Graph - semantic based conceptual model for semi-structured database system, called GOOSSDM, to conceptualize the different facets of such system in object oriented paradigm. The model defines a set of graph based formal constructs, variety of relationship types with participation constraints and rich set of graphical notations to specify the conceptual level design of semi-structured database system. The proposed design approach facilitates modeling of irregular, heterogeneous, hierarchical and non-hierarchical semi-structured data at the conceptual level. Moreover, the proposed GOOSSDM is capable to model XML document at conceptual level with the facility of document-centric design, ordering and disjunction characteristic. A rule based transformation mechanism of GOOSSDM schema into the equivalent XML Schema Definition (XSD) also has been proposed in this paper. The concepts of the proposed conceptual model have been implemented using Generic Modeling Environment (GME).