Modeling views in the layered view model for XML using UML

Rajugan Rajagopalapillai, Elizabeth Chang, Tharam S. Dillon, Ling Feng
2006 International Journal of Web Information Systems  
In data engineering, view formalisms are used to provide flexibility to users and user applications by allowing them to extract and elaborate data from the stored data sources. Conversely, since the introduction of EXtensible Markup Language (XML), it is fast emerging as the dominant standard for storing, describing, and interchanging data among various web and heterogeneous data sources. In combination with XML Schema, XML provides rich facilities for defining and constraining user-defined
more » ... semantics and properties, a feature that is unique to XML. In this context, it is interesting to investigate traditional database features, such as view models and view design techniques for XML. However, traditional view formalisms are strongly coupled to the data language and its syntax, thus it proves to be a difficult task to support views in the case of semi-structured data models. Therefore, in this paper we propose a Layered View Model (LVM) for XML with conceptual and schemata extensions. Here our work is three-fold; first we propose an approach to separate the implementation and conceptual aspects of the views that provides a clear separation of concerns, thus, allowing analysis and design of views to be separated from their implementation. Secondly, we define representations to express and construct these views at the conceptual level. Thirdly, we define a view transformation methodology for XML views in the LVM, which carries out automated transformation to a view schema and a view query expression in an appropriate query language. Also, to validate and apply the LVM concepts, methods and transformations developed, we propose a viewdriven application development framework with the flexibility to develop web and database applications for XML, at varying levels of abstraction. interests are distributed object-oriented database management system, knowledge-based information systems, data mining and its applications, data warehousing, data/knowledge management issues in the Internet era, including the integration of database and web-based information technologies, XML databases, knowledge-based digital libraries, and mobile databases.
doi:10.1108/17440080680000105 fatcat:nholncar6nfvthmeyebi7pysl4