语义驱动下科学博客资源发现机制研究  

Research on the Discovery Mechanism for Science Blog Resources Driven by Semantics

作　　者：杨敏[1,2] 马建玲[1] 

机构地区：[1]中国科学院国家科学图书馆兰州分馆,甘肃兰州730000 [2]中国科学院大学,北京100190

出　　处：《情报理论与实践》2013年第7期110-114,共5页Information Studies:Theory & Application

基　　金：中国科学院西部之光2009年项目"甘肃省综合科技资源集成登记示范系统建设"的研究成果之一

摘　　要：科学博客作为网络环境下科学界与公众进行科学知识交流的新型平台,成为当前流行和通用的非正式学术在线交流渠道。但是其数量巨大、增长迅速、质量参差不齐,如何有效发现和遴选高质量的科学博客资源成为一个亟待解决的问题。文章通过构建科学博客本体,在此基础上制定出科学、合理的推理规则,提出语义化发现机制应用框架及其工作原理,旨在寻求科学、有效的科学博客资源语义化发现机制。As a new platform for the scientific circles to exchange science knowledge with the public in the network environ- ment, science blog has become a popular and universal channel for informal online academic exchange. However, due to its huge quantity, rapid growth and uneven quality, how to find and select high-quality science blog resources effectively has become an ur- gent problem. This paper constructs the ontology of science blog, based on this, formulates the scientific and rational inference rules, proposes the application framework for semantic discovery mechanism, and points out its working principle in an attempt to find the scientific and effective semantic discovery mechanism for science biog.

关 键 词：语义化发现 科学博客 本体 

分 类 号：G353.1[文化科学—情报学]