Similarity Measure for Semantic Document Interconnections

被引：0

作者：

Hwang, Myunggwon ^{[1
]}

Choi, Dongjin ^{[1
]}

Choi, Junho ^{[1
]}

Kim, Hanil ^{[2
]}

Kim, Pankoo ^{[1
]}

机构：

[1] Chosun Univ, Dept Comp Engn, Kwangju 501759, South Korea

[2] Jeju Natl Univ, Dept Comp Educ, Cheju 0368561, South Korea

来源：

INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL | 2010年 / 13卷 / 02期

关键词：

Semantic Network; Semantic Document Processing; Semantic Keyword Indexing; Document Similarity Measure; Document Interconnection;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper introduces new similarity measure for semantic document interconnections. Most existing work on Semantic Web has focused on semantics of keywords. However, this research proposes a content based document retrieval using semantic similarity between documents while basically including keyword based retrieval as well. With this method, extended retrieval of documents which contain user-interested contents is possible. Through performance evaluation, this method displays more excellent keyword extraction accuracy and document similarity relevance than those of other research and its possibility of carrying out stronger semantic processing is shown.

引用

页码：253 / 267

页数：15

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