Study of Semantic Web Usage Mining

被引：1
|
作者：
Liu, Yujiang [1 ]
机构：
[1] Liaoning Univ Int Business & Econ, Dalian, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT 2013) | 2013年
关键词：
Semantic Web; Web Mining; RDFMS Data Clustering; Inductive Logic Programming;
D O I：
10.1109/CSNT.2013.144
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The related theories of Web and Web mining in semantic are concluded and analyzed in this paper. The description on RDF resource is analyzed on the semantic step, and the clustering method for RDFMS data clustering based on Semantic distance is proposed, with the detailed description for the algorithm and examples. With the discussion on the data mining techniques for semantic Web mining, the design on inductive logic programming is proposed for the data mining techniques that are suitable to the semantic Web. Additionally, how to apply to the description of the algorithm is given through the specific examples to verify the feasibility for the data mining in the semantic Web environment.
引用
收藏
页码：678 / 680
页数：3
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