基于元数据的语义识别搜索方法的研究与实现

搜索技术是当前网络领域中最为热门的研究领域,搜索引擎的好坏在很大程度上决定了用户使用网络资源的效率高低。搜索引擎的效率主要是取决于系统对用户输入检索词的解析与识别。因此一个好的搜索引擎需要能够对用户输入的信息进行语义解析,准确有效地对用户意图进行识别、解析与理解,并为用户返回最为合适的搜索结果。本文设计开发了一种基于元数据的网络搜索语义识别算法,并成功应用于中国可持续发展信息共享系统中,建立基于可持续发展元数据的搜索引擎,对用户的不同需求提供不同的元数据搜索方式,最终根据可持续发展共享数据与元数据的映射关系,实现由基于数据分类存储模式的数据共享服务转变为以元数据搜索为驱动的数据共享服务模式,为用户提供了高效的可持续发展元数据搜索引擎,极大提高了中国可持续发展信息共享系统的数据共享服务能力。

Research and implementation of semantic recognition search engine based on the metadata

Search technique is the most popular research field in the network domain.Search engine decides the availability factor of network resources.The efficiency of the search engine is decided by its semantic analysis and identification of users' input words.So a good search engine should analyze users' input words,distinguish them,at last,return the fittest searching results to users.In this article,we design and develop a network semantic recognition search engine based on the Metadata.It is applied to the Chinese Sustainable Development Network successfully.We establish this search engine based on the sustainable development metadata and provide different search portal for different users' requirements.Because of the mapping relation between data and metadata,we realize the data sharing service from data classification searching service to metadata searching service.Through this special web search arithmetic,it gives users a high efficient sustainable development searching engine which promote the data sharing ability of Chinese Sustainable Development Data Sharing Network.