一个评估和比较多媒体和超媒体创作方法的框架

Carlos Miguel Tobar Toledo, I. Ricarte
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引用次数: 0

摘要

用户对数据感知的重视要求面向个人的数据模型,其重点是高度抽象的信息描述。基于模型的超媒体设计方法是一种创作方法,它利用最新的数据模型,从高层抽象开始,一步一步地引导到低层规范,试图处理多媒体和超媒体。提出了一种面向多媒体和超媒体数据模型的开发方法,称为钩子方法,该方法基本上建立了对促进机制的需求,以允许不同抽象级别的数据模型之间的映射。为了指出创作方法的广泛性,甚至允许它们进行比较,还提出了一个抽象分类图。这个映射可以用来表示数据模型对钩子方法的遵从性,也可以用作面向支持多媒体和超媒体的数据模型的参考框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A framework for assessing and comparing multimedia and hypermedia authoring methodologies
Data perception importance by users has demanded data models oriented to individuals, whose emphasis is information description at high levels of abstraction. Model-based approaches to hypermedia design are authoring methodologies that make use of the newest data models in order to begin from high level abstractions a step-by-step process directed to low level specifications trying to cope with multimedia and hypermedia. A development approach of multimedia and hypermedia oriented data models is proposed, named the hook approach, that basically establishes the need for facilitator mechanisms to allow mappings between data models of different abstraction levels. In order to point out the broadness of authoring methodologies and even to allow their comparison an Abstract Categorization Map is also proposed. This map can be used to present data model adherence to the hook approach and also can be used as a reference framework for data models oriented to support multimedia and hypermedia.
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