Mapping-driven XML transformation

Clio is an existing schema-mapping tool that provides user-friendly means to manage and facilitate the complex task of transformation and integration of heterogeneous data such as XML over the Web or in XML databases. By means of mappings from source to target schemas, Clio can help users conveniently establish the precise semantics of data transformation and integration. In this paper we study the problem of how to efficiently implement such data transformation (i.e., generating target data from the source data based on schema mappings). We present a three-phase framework for highperformance XML-to-XML transformation based on schema mappings, and discuss methodologies and algorithms for implementing these phases. In particular, we elaborate on novel techniques such as streamed extraction of mapped source values and scalable diskbased merging of overlapping data (including duplicate elimination). We compare our transformation framework with alternative methods such as using XQuery or ...

• Type: Conference
• Year: 2007
• Where: WWW
• Authors: Haifeng Jiang, Howard Ho, Lucian Popa, Wook-Shin Han
• Keywords: Data Transformation, Internet Technology, Schema Mappings, Transformation Framework, WWW 2007