Advanced OODBMS Conceptual Modeling for GIS and Other Applications

本研究的目的是开发面向对象数据库管理系统（OODBMS）的高级概念建模和使用功能，以提高数据分析和查询。这项工作有助于数据库界目前的研究，以提供更全面的数据管理支持。调查的领域包括地理信息系统（GIS），工程和其他科学应用。由于最近将专题数据和空间数据纳入同一系统，地理信息系统应用程序有着复杂的数据管理需求。目前检索此类信息既复杂又不标准。NCGIA和UCGIS在全国范围内表达了对GIS建模和查询的兴趣。ODMG目前的工作也是为面向对象建模和语言支持开发OODBMS标准。这里的工作通过研究高级应用程序的建模和查询需求来继续这些小组的努力。研究的另一个重要应用涉及工程线性参考系统的复杂建模和集成。本研究的方法是分析建模和查询需求的工作范围内的应用程序，评估现有的应用软件的功能，并咨询领域专家。这项研究的结果是概念模型和查询结构，是在一个更高的抽象层次比目前存在的面向对象的建模和语言。这些模型和构造将更紧密地适应应用程序的数据组织和查询需求，以允许更自然地表示数据和表达查询语句。这项研究将为解决复杂问题提供更强大的数据管理和分析能力。

The objective of this research is to develop high level conceptual modeling and usage features in Object-Oriented Database Management Systems (OODBMSs) to improve data analysis and querying. This work contributes to current research within the database community to provide more comprehensive data management support. Areas investigated include Geographic Information Systems (GISs), engineering and other scientific applications. GIS applications have complex data management needs because of the recent integration of thematic and spatial data into the same system. Retrieving such information is currently complex and non-standardized. Interest in GIS modeling and querying has been expressed nationally by NCGIA and UCGIS. Current work is also being done by ODMG to develop OODBMS standards for object- oriented modeling and language support. The work here continues the efforts of these groups by studying modeling and query needs of advanced applications. Another important application investigated involves complex modeling and integration of engineering linear referencing systems. The approach of this research is to analyze modeling and query needs by working within application areas, evaluating the functionality of existing application software, and consulting with domain experts. The results of this research are conceptual models and query constructs that are at a higher level of abstraction than what currently exists for object-oriented modeling and languages. These models and constructs will more closely fit the data organization and query needs of the application to allow more natural representation of the data and expression of query statements. This research will provide stronger data management and analysis capabilities for complex problem solving.