摘要
针对通用搜索引擎无法收集一个特定研究领域全面可靠数据的问题,基于Web3.0的语义网和智能代理技术,利用特定应用知识引擎和社会多媒体服务,设计了一个智能学术期刊系统。它能够自动识别研究领域相关群体的兴趣和需求,智能地向他们推送特定信息,实现期刊的智能化。
In view of the problem that general search engines can＇t gather comprehensive and reliable data of a specific research area, the paper uses application-specific knowledge engine and social multimedia service to design an intelligent academic journal sys- tem basing on semantic web and intelligent agent technology of Web3.0. The system can automatically identify the interests and needs of the related groups in the research areas, and pushes specific information intelligently, thus achieves the intellectualization of journal.
出处
《情报探索》
2013年第11期106-109,113,共5页
Information Research
关键词
智能期刊系统
特定应用知识引擎
自适应本体
社交媒体
WEB3
0
intelligent journal system
application-specific knowledge engine
self-adaptive ontology
social media
Web3.0
