文章基本信息

标题：Sensing Semantics of RSS Feeds by Fuzzy Matchmaking
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作者：M.W. Yuan ; P. Jiang ; J. Zhu 等
期刊名称：Intelligent Information Management
印刷版ISSN：2150-8194
电子版ISSN：2150-8208
出版年度：2010
卷号：2
期号：2
页码：110-119
DOI：10.4236/iim.2010.22014
出版社：Scientific Research Publishing
摘要：RSS feeds provide a fast and effective way to publish up-to-date information or renew outdated contents for information subscribers. So far RSS information is mostly managed by content publishers but Internet users have less initiative to choose what they really need. More attention needs to be paid on techniques for user-initiative information discovery from RSS feeds. In this paper, a quantitative semantic matchmaking method for the RSS based applications is proposed. Semantic information is extracted from an RSS feed as numerical vectors and semantic matching can then be conducted quantitatively. Ontology is applied to provide a common-agreed matching basis for the quantitative matchmaking. In order to avoid semantic ambiguity of literal statements from distributed and heterogeneous RSS publishers, fuzzy inference is used to transform an individual-dependent vector into an individual-independent vector. Semantic similarities can be revealed as the result.
关键词：RSS Feeds; Matchmaking; Multi-Agent; Semantics