A Method for Building Tag Systems Based on Semantic Feature Analysis

doi:10.7652/xjtuxb201901023

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A Method for Building Tag Systems Based on Semantic Feature Analysis

更新时间：2025-07-09

- A Method for Building Tag Systems Based on Semantic Feature Analysis
- Vol. 53, Issue 1, Pages: 169-174(2019)
- 作者机构：
  
  西安交通大学智能网络与网络安全教育部重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201901023
  CLC： TP391.1
- Online First：10 January 2019，
  
  Published：2019
- 稿件说明：
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A Method for Building Tag Systems Based on Semantic Feature Analysis[J]. 2019, 53(1): 169-174.
DOI：

A Method for Building Tag Systems Based on Semantic Feature Analysis[J]. 2019, 53(1): 169-174. DOI： 10.7652/xjtuxb201901023.

摘要

针对现有标签体系粒度粗和层级结构不明显的问题

提出了一种基于语义分析的自动化标签体系融合构建方法。该方法通过分析不同网站导航标签体系中标签的相似性

学习不同导航标签间的等同映射关系和上下位映射关系

进而融合不同网站的导航标签体系以得到细粒度且层级分明的标签体系。为了评估该方法在标签体系融合构建方面的精度

首次提出标签重合度和上下位关系重合度两个测试指标进行衡量。实验结果表明

与基于同义词林的标签体系融合构建方法相比

所提方法在标签重合度和上下位关系重合度上提升了5%以上

可以构建出精准有效且适应不同领域的标签体系

为构建精准的用户画像打下基础。

Abstract

An improved method based on semantic features analysis of tag systems is proposed to solve the problem that existing tag systems are coarse-grained and their hierarchical structures are unapparent. The method analyses similarity among multiple tag systems on different websites

learns the relationships of synonym mappings and hypernym-hyponym mappings among these systems

and further obtains a fine-grained and hierarchical tag system. In order to evaluate the performance of the algorithm

two test metrics

the tag coincidence degree and the hypernym-hyponym coincidence degree

are proposed to assess the accuracy of merging and constructing tag systems. Experimental results show that the method improves the tag coincidence degree and the hypernym-hyponym coincidence degree by more than 5%

and it efficiently builds a tag system with higher precision and applicability

meanwhile

lays a foundation for establishing user profile.

关键词

Keywords

references

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