文章基本信息

标题：SEMANTIC SIMILARITY EVALUATION MODEL IN CATEGORICAL DATABASE GENERALIZATION
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作者：Liu Yaolin ; Martin Molenaar ; Menno-Jan Kraak 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2002
卷号：XXXIV Part 4
出版社：Copernicus Publications
摘要：Database generalization process will be used to derive a new database with less detail for some application purposes from a single detailed database. In a database generalization process, semantic similarity measures among objects and among object types play a key role in object aggregation process. In this paper a generalization procedure will be developed based on object aggregation. The decision to aggregation objects will be based on the geometric properties of the objects, on their spatial relationships and on their thematic similarity. Normally, this similarity among objects acts as decisive rule that controls the generalization operations. This paper focuses on semantic similarity evaluation model for categorical database generalization. It presents a semantic evaluation model after reviewing current similarity models. The models are based on classification hierarchies, set theory, and attribute structure of classes. It is a computation model and can not only be used to compute the similarity between objects at same level, or at different levels, but also the similarity between object types at the same level and at different level
关键词：Hierarchical structure; Similarity Model; Categorical Database; Classification System