科研社交网络语义化发现路径研究——以科学博客为例  

Study of the Semantic Discovery Path on Research Social Networking——Taking Scientific Blog As an Example

作　　者：杨敏[1] 李玲丽[2] 

机构地区：[1]太原科技大学图书馆,山西太原030024 [2]杭州图书馆,浙江杭州310016

出　　处：《情报科学》2016年第12期102-107,共6页Information Science

摘　　要：在语义网迅速发展的趋势下,如何基于语义发现、组织网络信息资源成为目前知识组织关注和发展的重点。科研社交网络作为新兴科技信息资源,如何快速、准确将其定位是遴选高质量科学即时类信息的首要问题。本文以科学博客语义化发现路径为例进行研究探讨,以期达到规范化、规模化、智能化发现采集科学博客资源的目标,同时也能为讨论组、论坛、新闻组等其他科研社交网络的发现、遴选、组织和集成提供借鉴。Under the trend of rapid development of the Semantic Web, how to organize information resources on the internet based on semantic discovery has become the research and development focus of knowledge organization. As an emerging scientific information resource, how to locate resource quickly and accurately is the most important issue for research social network to select high-quality scientific information. Taking science blog as an example, this paper discusses the semantic discovery path to achieve the target of discovering and collecting science blog resources＂ standard,scale and intelligent, and also to provide reference to discover, select, organizate and integrate other research social network such as discussion groups, forums and newsgroups.

关 键 词：科研社交网络 语义化发现 科学博客 科学博客本体 

分 类 号：G254[文化科学—图书馆学]