A study of ontology-based incremental clustering technique in semantic Web

Je-Min Kim, Youngtack Park
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引用次数: 2

Abstract

Clustering is defining inter relationship of an ordered data and grouping data systematically. The systems using clustering provide the grouped information to the users. The complex metadata description generated on the basis of predefined ontologies serve as perfect input data for clustering. In this paper, we propose an approach for clustering ontology based metadata. Main contribution of this paper is the definition of evaluation function to measure ontology based metadata and study using this evaluation function within hierarchical clustering algorithm.
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语义Web中基于本体的增量聚类技术研究
聚类就是定义有序数据之间的相互关系,并对数据进行系统的分组。使用集群的系统向用户提供分组信息。在预定义本体的基础上生成的复杂元数据描述是集群的完美输入数据。本文提出了一种基于本体的元数据聚类方法。本文的主要贡献是定义了评价函数来度量基于本体的元数据,并研究了该评价函数在层次聚类算法中的应用。
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