普罗米修斯分类数据库

C. Raguenaud, J. Kennedy, P. Barclay
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引用次数: 12

摘要

M.R. Pullen等人(2000)设计了一种新的植物分类模型(称为普罗米修斯);它支持多个重叠的分类,并区分命名过程和分类过程。这个分类法模型中确定的概念要求设计一个新的数据库模型——Prometheus面向对象模型(POOM)——来表示和操作数据。POOM是一个扩展的面向对象模型,它强调关系,从而在面向对象数据库中提供图形行为,并提供定义对象之间关系的表达方式。此外,为了提供面向对象图结构的统一查询,对象查询语言(OQL)被扩展到Prometheus面向对象语言(POOL)。本文根据POOM提供的概念设计了一个分类数据库系统。通过示例,我们展示了如何支持语义和分类法过程的表示,而使用现有数据模型是不可能实现的。示例POOL查询强调了对扩展特性的需求,这些特性用于操作关系、图结构和复杂对象,例如在分类法中可以找到的对象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Prometheus taxonomic database
M.R. Pullen et al. (2000) have designed a new model of plant taxonomy (called Prometheus); it supports multiple overlapping classifications, and distinguishes the process of naming from classifying. The concepts identified in this taxonomic model necessitated the design of a new database model - the Prometheus Object-Oriented Model (POOM) - to represent and manipulate the data. POOM is an extended object-oriented model which emphasises relationships, thereby providing graph behaviour in an object-oriented database and providing an expressive means of defining relationships between objects. Additionally, the Object Query Language (OQL) is extended to the Prometheus Object-Oriented Language (POOL) in order to provide unified querying of object-oriented graph structures. This paper presents a taxonomic database system designed in terms of the concepts offered by POOM. Through examples we show how the representation of the semantics and processes of taxonomy, not possible using existing data models, can be supported. Example POOL queries highlight the need for the extended features for manipulating relationships, graph structures and complex objects such as are found in taxonomies.
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