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The relational model versus the extended entity relationship model: A comparison of representations developed by autonomous users.

机译:关系模型与扩展实体关系模型:自治用户开发的表示形式的比较。

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摘要

The inadequacies of the three classical data models in their ability to directly and naturally capture complex relationships between objects have led to suggestions of semantic data models. However, there is little empirical evidence that the semantic models lead to better user performance than the classical data models in conceptual data representation or any other database task.;To extend our understanding of this issue, a laboratory study was conducted to compare autonomous user performance between the relational model, which is a classical data model, with the extended entity relationship model, which is a semantic data model, during a representation task. Autonomous users may be defined as users who develop, design, implement, and use application programs in either interactive or personal computing environments to support personal or a small group's information requirement for decision making. A representation task involves the use of a modeling technique to represent the description of an application into a conceptual data model. A conceptual data model shows the objects of interest (entities), their properties (attributes), and the relationships between the objects.;A pilot study with twenty subjects was conducted to assess the feasibility of the proposed research, to refine task description, to estimate training and task completion times, and to propose a preliminary grading scheme. The main study was conducted with forty two subjects. During each experimental session, a few subjects were trained in the conceptual modeling task using one of the two data models. They were then asked to prepare a conceptual data representation of an application.;The solutions prepared by the subjects were graded for correctness using a reliable grading scheme. It was found that the EER model led to significantly better user performance in modeling binary and ternary one-many-many relationships. There was some evidence that the relational model was better in modeling unary relationship, and that the EER model was better in modeling ternary many-many-many relationship. Subjects found it difficult to model ternary relationships using either model, though the performance using the EER model was better. In general, there was evidence that the EER model led to better user performance. No differences, however, were found between the perceived ease of use of the two models.
机译:三种经典数据模型无法直接自然地捕获对象之间的复杂关系的能力不足,已经提出了语义数据模型的建议。但是,几乎没有经验证据表明,语义模型在概念性数据表示或任何其他数据库任务中比传统数据模型具有更好的用户性能。为了扩展我们对这一问题的理解,进行了一项实验室研究以比较自主用户的性能在表示任务期间,关系模型(即经典数据模型)与扩展实体关系模型(即语义数据模型)之间的关系。自治用户可以定义为在交互式或个人计算环境中开发,设计,实现和使用应用程序以支持个人或小组的信息需求以进行决策的用户。表示任务涉及使用建模技术将应用程序的描述表示为概念数据模型。一个概念性的数据模型显示了感兴趣的对象(实体),它们的属性(属性)以及这些对象之间的关系。进行了一个包含20个主题的试点研究,以评估所提出研究的可行性,以完善任务描述,从而估计培训和任务完成时间,并提出初步的评分方案。主要研究对象为42个受试者。在每个实验环节中,使用两个数据模型之一对一些对象进行了概念建模任务的培训。然后要求他们准备应用程序的概念性数据表示形式。使用可靠的评分方案对受试者准备的解决方案进行正确性分级。发现在对二元和三元一对多关系进行建模时,EER模型可以显着改善用户性能。有证据表明,关系模型在建模一元关系方面更好,而EER模型在建模三元多对多关系方面更好。受试者发现,尽管使用EER模型的性能更好,但很难使用这两种模型来建模三元关系。通常,有证据表明EER模型可以带来更好的用户性能。但是,两种模型的易用性之间没有发现差异。

著录项

  • 作者

    Batra, Dinesh.;

  • 作者单位

    Indiana University.;

  • 授予单位 Indiana University.;
  • 学科 Management.;Computer science.
  • 学位 Ph.D.
  • 年度 1989
  • 页码 269 p.
  • 总页数 269
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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