基于元数据的语义识别搜索方法的研究与实现

发布时间：2018-07-15 10:49

【摘要】：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。
[Abstract]:Search technology is the most popular research field in the field of network. The good or bad of search engine determines the efficiency of users' use of network resources to a great extent. The efficiency of the search engine mainly depends on the system's analysis and recognition of the user input retrieval words. Therefore, a good search engine needs to be able to input the user. In this paper, we designed and developed a network search semantic recognition algorithm based on metadata, and successfully applied it to the sustainable development information sharing system in China, and established a sustainable development based on sustainable development. The search engine of metadata provides different metadata search methods for different needs of users. Finally, according to the mapping relationship between data and metadata, the data sharing service based on data classification storage mode is transformed into a data sharing service mode driven by metadata search, which provides a high level of service for users. Effective metadata search engine for sustainable development has greatly improved the data sharing service capability of China's sustainable development information sharing system.
【作者单位】：中国科学院遥感应用研究所;
【基金】：国家“十五”科技攻关计划“中国可持续发展信息共享系统的研究开发”(2004-BA608B) 国家基础性条件平台“中国可持续发展信息共享平台建设”(2003DEA2C011)
【分类号】：TP391.3

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