The information integration method of semantic web based on agent ontology(SWAO method) was put forward aiming at the problems in current network environment,which integrates,analyzes and processes enormous web inform...The information integration method of semantic web based on agent ontology(SWAO method) was put forward aiming at the problems in current network environment,which integrates,analyzes and processes enormous web information and extracts answers on the basis of semantics. With SWAO method as the clue,the following technologies were studied:the method of concept extraction based on semantic term mining,agent ontology construction method on account of multi-points and the answer extraction in view of semantic inference. Meanwhile,the structural model of the question answering system applying ontology was presented,which adopts OWL language to describe domain knowledge from where QA system infers and extracts answers by Jena inference engine. In the system testing,the precision rate reaches 86%,and the recalling rate is 93%. The experimental results prove that it is feasible to use the method to develop a question answering system,which is valuable for further study in more depth.展开更多
从电子商务环境下服装供应链管理的需求出发,分析了目前服装搜索引擎存在的问题,提出了基于语义Web服务的分布式服装商品搜索引擎系统模型,并讨论了它的体系结构。介绍了基于Ontology Web Language(OWL)的服装本体设计模型及其语义描述...从电子商务环境下服装供应链管理的需求出发,分析了目前服装搜索引擎存在的问题,提出了基于语义Web服务的分布式服装商品搜索引擎系统模型,并讨论了它的体系结构。介绍了基于Ontology Web Language(OWL)的服装本体设计模型及其语义描述方法。分析了服装搜索引擎的基本功能及分布式环境下的Web Services(WS)合成。理论分析和实例原型说明了基于服装语义树的搜索引擎多关键词搜索效率明显高于全文搜索引擎。展开更多
基金Projects(60773462, 60672171) supported by the National Natural Science Foundation of ChinaProjects(2009AA12143, 2009AA012136) supported by the National High-Tech Research and Development Program of ChinaProject(20080430250) supported by the Foundation of Post-Doctor in China
文摘The information integration method of semantic web based on agent ontology(SWAO method) was put forward aiming at the problems in current network environment,which integrates,analyzes and processes enormous web information and extracts answers on the basis of semantics. With SWAO method as the clue,the following technologies were studied:the method of concept extraction based on semantic term mining,agent ontology construction method on account of multi-points and the answer extraction in view of semantic inference. Meanwhile,the structural model of the question answering system applying ontology was presented,which adopts OWL language to describe domain knowledge from where QA system infers and extracts answers by Jena inference engine. In the system testing,the precision rate reaches 86%,and the recalling rate is 93%. The experimental results prove that it is feasible to use the method to develop a question answering system,which is valuable for further study in more depth.
文摘从电子商务环境下服装供应链管理的需求出发,分析了目前服装搜索引擎存在的问题,提出了基于语义Web服务的分布式服装商品搜索引擎系统模型,并讨论了它的体系结构。介绍了基于Ontology Web Language(OWL)的服装本体设计模型及其语义描述方法。分析了服装搜索引擎的基本功能及分布式环境下的Web Services(WS)合成。理论分析和实例原型说明了基于服装语义树的搜索引擎多关键词搜索效率明显高于全文搜索引擎。
