Metadata Model Management: Schema Mappings and Data Exchange

数据交换是将源模式下结构化的数据转换为不同目标模式下结构化的数据的问题，其中源和目标之间的关系由称为模式映射的高级规范给出。数据交换问题出现在数据库管理系统的几个不同领域，包括信息集成和点对点数据管理系统。关于数据交换的早期基础工作侧重于关系数据交换设置。这个项目的主要目标之一是研究在半结构化或XML数据之间进行交换的更丰富的数据交换框架的语义和查询回答问题。另一个主要目标是研究元数据管理中出现的某些关键问题，包括组合几个连续模式映射的问题和反转给定模式映射的问题。最终目标是开发一个测试平台，用于比较数据交换工具和评估模式映射技术。该项目将推动数据交换和元数据管理领域的最新技术。将通过在学术期刊和会议上发表和将其纳入关于数据库系统的高级专题课程来传播结果。此外，数据交换试验台将在网上公开提供，以便更广泛地传播和分享。

Data exchange is the problem of transforming data structured under a source schema into data structured under a different target schema, where the relationship between the source and the target is given by high-level specifications called schema mappings. The data exchange problem arises in several different areas of database management systems including information integration and peer-to-peer data management systems.Earlier foundational work on data exchange focused on relational data exchange settings. One of the main goals of this project is to investigate issues of semantics and query answering for richer data exchange frameworks in which the exchange takes place between semistructured or XML data. Another main goal is to study certain key problems arising in metadata management including the problem of composing several consecutive schema mappings and the problem of inverting a given schema mapping. A final goal is to develop a test bed for comparing data exchange tools and evaluating schema mapping techniques.This project will advance the state of the art in the areas of data exchange and metadata management. Dissemination of results will be achieved through publication in scholarly journals and conferences and incorporation in an advanced topics course on database systems. In addition the data exchange test bed will be made publicly available on the Web for wider dissemination and sharing.