Traditional, semantic, and hypersemantic approaches to data modeling

Potter W.D.; Trueblood R.P.

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Traditional, semantic, and hypersemantic approaches to data modeling

机译：传统，语义和超语义方法进行数据建模

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An overview is given of past present data-modeling trends, and future directions are identified. The three traditional and commonly used data models that gained wide acceptance in the late 1960s and early 1970s and are used extensively today, namely the relational, hierarchical, and network models, are reviewed. Semantic data models that attempt to enhance the representation of operational information by capturing more of the meaning about data values and relationships are described. Enhancements to semantic data models that characterize hypersemantic data models and emphasize capturing inferential relationships are discussed.

机译：概述了过去的当前数据建模趋势，并确定了未来的方向。回顾了三种在1960年代末和1970年代初得到广泛认可并在当今得到广泛使用的传统数据模型，即关系模型，层次模型和网络模型。描述了试图通过捕获有关数据值和关系的更多含义来增强操作信息表示的语义数据模型。讨论了表征超语义数据模型并强调捕获推理关系的语义数据模型的增强。

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《Computer》 |1988年第6期|P.53-63|共11页
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Potter W.D.; Trueblood R.P.;
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正文语种 eng
中图分类计算技术、计算机技术;
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机译：建模和查询不确定的关系数据库：基于可能世界语义学的方法研究
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机译：数据模型语义的规范和解释：两种方法的整合

Traditional, semantic, and hypersemantic approaches to data modeling

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