On context-based naming in information bases

Manos Theodorakis, P. Constantopoulos
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引用次数: 15

Abstract

In information bases following semantic and object-oriented data models logical names are used for the external identification of objects. Yet the naming schemes employed are not "natural" enough and several problems often arise: logical names can be ambiguous, excessively long, unrelated to or unable to follow the changes of the environment of named object. In natural language, similar problems are resolved by the context within which words are used. An approach to introducing a notion of context in an information base is to provide structuring mechanisms for decomposing it into possibly overlapping parts. The paper focuses on developing a context mechanism for an information base and, in particular, exploiting this mechanism for naming purposes. Rules are developed for generating meaningful names for objects by taking their context into account. This context-based naming enhances name readability, resolves name ambiguities, saves a lot of redundant name substrings, and it localizes and thus facilitates consistency checking, query processing and update operations. In modeling, it supports systematic naming of objects, and thus enhances cooperation between the designers and the end-users in the sense that the contents of the information base are more understandable by both of them.
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信息库中基于上下文的命名
在遵循语义和面向对象数据模型的信息库中,逻辑名称用于对象的外部标识。然而,所采用的命名方案不够“自然”,并且经常出现几个问题:逻辑名称可能含糊不清、过长、与命名对象的环境变化无关或无法跟上。在自然语言中,类似的问题是通过使用单词的上下文来解决的。在信息库中引入上下文概念的一种方法是提供结构化机制,将其分解为可能重叠的部分。本文着重于为信息库开发一种上下文机制,特别是利用这种机制进行命名。开发规则是为了通过考虑对象的上下文为对象生成有意义的名称。这种基于上下文的命名增强了名称的可读性,解决了名称的歧义,节省了大量冗余的名称子字符串,并进行了本地化,从而方便了一致性检查、查询处理和更新操作。在建模中,它支持对象的系统命名,从而增强了设计人员和最终用户之间的合作,因为信息库的内容对他们来说更容易理解。
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