基于语义Web的科技期刊网络信息检索及其应用

摘要

Currently,in the scientific periodical journal publishing,multi-format 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 ontol-ogy.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.%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。