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Database systems often use XML schema to describe the format of valid XML documents. Usually, this format is determined when the system is designed. Sometimes, in an already functioning system, a need arises to change the XML schemas. In such a situation, the system has to transform the old XML documents so that they conform to the new format and that as little information as possible is lost in the process. This process is called schema evolution.We have implemented an XML schema transformation toolkit within IBM Master Data Management Server (MDM). MDM uses XML documents to describe products that an enterprise may be offering to its clients. In this work we focus on evolving schemas rather than on integrating separate or heterogeneous data sources. Our solution includes an extendible schema matching algorithm that was designed with evolving XML schemas in mind and takes advantage of hierarchical structure of XML. It also includes a data transformation and migration method appropriate for environments where migration is performed in an abstraction layer above the DBMS. Finally, we describe a novel way of extending an XSLT editor with an XSLT visualization feature to allow the user's input and evaluation of the transformation.

Recent advancements in laser and visible light sensor technology allows for the collection of photorealistic 3D scans of large scale spaces. This enables the technology to be used in real world applications such as crime scene investigation. The 3D models of the environment obtained with a 3D scanner capture visible surfaces but do not provide semantic information about salient features within the captured scene. Later processing must convert these raw scans into salient scene structure. This paper describes ongoing research into the generation of semantic data from the 3D scan of a crime scene to aid forensic specialists in crime scene investigation and analysis. MotivationThe goal of the CBRN Crime Scene Modeler project is the development and field evaluation of technologies for Canadian Conference on Computer and Robot Vision 978-0-7695-3153-3/08 $25.00