基于概念外延的Folksonomy语义关系挖掘方法

doi:10.11925/infotech.1003-3513.2008.10.02

现代图书情报技术

2008, Vol. 24

Issue (10): 6-10 https://doi.org/10.11925/infotech.1003-3513.2008.10.02

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基于概念外延的Folksonomy语义关系挖掘方法

周鑫王军

（北京大学信息管理系北京 100871）

Semantic Relations Mining in Folksonomy Based on Extensions of Concepts

Zhou Xin Wang Jun

(Department of Information Management, Peking University, Beijing 100871, China)

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摘要

为改善Folksonomy中的资源利用效率，对Tag间的语义关系挖掘进行研究，提出一种利用大众标引关系、通过界定概念外延挖掘Tag间语义关系的方法。在del.icio.us真实数据上所进行的实验验证该方法是可行的。

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	周鑫
	王军

关键词 ：语义关系挖掘, Folksonomy, del.icio.us

Abstract：

In order to improve the performance of Folksonomy, the authors study how to find out the relations between Tags. A method of mining semantic relations, based on the folk-tagging and extensions of concepts, is proposed in this paper. An experiment on the data set of del.icio.us is also conducted, and it indicates that the method is practicable, but more improvement is needed.

Key words： Semantic relations mining Folksonomy del.icio.us

收稿日期: 2008-09-02 出版日期: 2008-10-25

TP393

通讯作者: 周鑫 E-mail: sydjoule@gmail.com

作者简介: 周鑫,王军

引用本文:

周鑫,王军. 基于概念外延的Folksonomy语义关系挖掘方法[J]. 现代图书情报技术, 2008, 24(10): 6-10.
Zhou Xin,Wang Jun. Semantic Relations Mining in Folksonomy Based on Extensions of Concepts. New Technology of Library and Information Service, 2008, 24(10): 6-10.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2008.10.02 或 https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2008/V24/I10/6

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［7］ Angeletou S, Sabou M, Specia L, et al. Bridging the Gap between Folksonomies and the Semantic Web: An Experience Report［EB/OL］. ［2008-05-23］. http://kmi.open.ac.uk/people/marta/papers/semnet2007.pdf.
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