Ontological aspects of information modeling

被引:26
|
作者
Ashenhurst, RL [1 ]
机构
[1] UNIV CHICAGO, GRAD SCH BUSINESS, CHICAGO, IL 60637 USA
关键词
information modeling; information vs data; knowledge vs information; information systems development; semantic data modeling; the relational data model; the object-oriented paradigm; data vs reality; analytic philosophy; ontology; epistemology; views; statements; entities; events; attributes; actions; relationships; categories and kinds;
D O I
10.1007/BF00729802
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Information modeling (also known as conceptual modeling or semantic data modeling) may be characterized as the formulation of a model in which information aspects of objective and subjective reality are presented (''the application''), independent of datasets and processes by which they may be realized (''the system''). A methodology for information modeling should incorporate a number of concepts which have appeared in the literature, but should also be formulated in terms of constructs which are understandable to and expressible by the system user as well as the system developer. This is particularly desirable in connection with certain ''intimate'' relationships, such as being the same as or being a part of. The conceptual basis for such a methodology, as conventionally approached, seems flavored with notions arising in the systems arena to an inappropriate degree. To counter this tendency it is useful to turn to a discipline not hitherto much involved in technology, namely analytic philosophy.
引用
收藏
页码:287 / 394
页数:108
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