西安电子科技大学学报（自然科学版）2012，Vol.39Issue(3)：196-201,6.DOI:10.3969/j.issn.1001-2400.2012.03.032
社会化标签系统语义相关度的拓扑图法计算
Topological graph based tag semantic relatedness measure for social tagging systems
摘要
Abstract
Regarding the problems of the structureless organization and implicit meaning of tags in the social tagging systems in Web2.0, a topological graph based formal model of semantic relatedness measure is proposed to fully exploit the interplay of the semantic co-relations among a large number of tags. In this model, the results of the statistics based tag relatedness measures are used to extend the topological graph of tags co-occurrence network with weights of edges, two operators are invented to synthetically compute the overall effect of the weights within the extended graph, so that the interplay of semantic co-relations of tags can be explicitly represented and the semantic relatedness of tags can also be measured soundly. To illustrate the calculating process and to testify the validness and feasibility of the calculating results for this model, an experiment is conducted with the set of the most popular tags crawled from Flickr. Com, a famous photos sharing website. Experimental results show that the model can lead to better results, and is highly applicable to the guidance and constraint of annotating behaviors in Web2. 0 environments.关键词
语义相关度/社会化标签系统/标签共现网络/拓扑图/Web2.0Key words
semantic relatedness/ social tagging system/ tags co-occurrence network/ topological graph/ Web2. 0分类
信息技术与安全科学引用本文复制引用
张昌利,侯蓉晖..社会化标签系统语义相关度的拓扑图法计算[J].西安电子科技大学学报（自然科学版）,2012,39(3):196-201,6.基金项目
国家自然科学基金资助项目(61101143/F010202) （61101143/F010202）
中央高校基本科研业务费专项资金资助项目(CHD2012JC022) （CHD2012JC022）
