CAREER: Managing Schematic Heterogeneity in Database Management Systems

当在一个模式下表示为数据的信息在另一个模式中表示为数据时，例如作为关系名或类名，就会出现示意图的异构性。示意图异构是一类重要的异构，它经常出现在多媒体数据库、半结构化数据和为数据仓库应用程序集成遗留数据中。传统的查询语言和视图机制不足以在模式异构的模式之间协调和转换数据。这个研究项目的目标是允许协同使用模式异构模式和在这些模式下结构化的数据。该项目致力于开发新的语言和技术，以实现以下目标：(1)异构模式的转换和集成；(2)异构模式数据的集成查询；(3)集成视图查询的高效求值。分析了这些技术的有效性、正确性和完整性。此外，这些技术是在异构医疗数据存储库中实现的。对该实现的评估用于改进和扩展结果。这个项目的教育部分旨在加强本科生和研究生，特别是妇女和少数民族学生对研究的参与。这是通过加强课程、扩大本科生研究机会和为少数民族研究生建立学术充实计划来实现的。

Schematic heterogeneity arises when information that is represented as data under one schema, is represented within the schema in another, for example as relation or class names. Schematic heterogeneity is an important class of heterogeneity that arises frequently in multimedia databases, semi-structured data and in integrating legacy data for data warehousing applications. Traditional query languages and view mechanisms are insufficient for reconciling and translating data between schematically heterogeneous schemas. The goal of this research project is to permit the cooperative use of schematically heterogeneous schemas and the data structured under these schemas. The project addresses the development of novel languages and techniques for: (1) the transformation and integration of schematically heterogeneous schemas; (2) the integrated querying of data from schematically heterogeneous schemas; and (3) the efficient evaluation of queries over integrated views. The techniques are analyzed for efficiency, correctness and completeness. In addition, the techniques are implemented within a heterogeneous repository of medical data. An evaluation of this implementation is used to refine and extend the results. The educational component of this project aims to enhance undergraduate and graduate participation in research, particularly among women and minority students. This is accomplished through curriculum enhancement, expanding undergraduate research opportunities and establishing academic enrichment programs for graduate minority students.