摘要
针对目前科技期刊数字出版过程中内容表示格式多样化和多数据源带来的异构和跨库检索难、基于关键词匹配无法达到精确匹配、基于关键字的关系数据库检索数据挖掘能力有限以及无法用自然语言进行检索查询等问题,提出构建基于语义Web的科技期刊网络信息检索模型,并讨论科技期刊领域本体库、应用本体库的创建,给出该检索模型在科技期刊的创新其服务模式、数据挖掘、知识关联和发现等方面的应用。
Currently, in the scientific periodical journal publishing, multi- tormat presentation and muti database sources bring difficulty for heterogeneous inquiry and cross - database inquiry ： keyword - based methods can not realize the goal of precise matching; there is limited data mining capability for keyword -based relation database ; users can not use natural language to carry out inquiry, etc. In this paper, we propose a semantic web - based network information retrieval model for scientific periodical journal, and discuss the construction of scientific periodical journal field ontology and application ontology. Finally, we give some example applications in scientific periodical of this network information retrieval model, such as the innovation of the service model, data mining, knowledge correlation and knowledge discovery.
出处
《科技管理研究》
CSSCI
北大核心
2015年第2期196-200,共5页
Science and Technology Management Research
基金
广东省科技计划项目"在编科技期刊语义化及关键技术研究"(2012B060200013)
关键词
科技期刊
信息化建设
数字出版
语义WEB
信息检索
scientific periodical journal
information construction
digital publishing
semantic web
information retrieval
