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Intelligent Search System for Huge Non-structured Data Storages with Domain-Based Natural Language Interface

机译:具有基于域的自然语言界面的巨大非结构化数据存储的智能搜索系统

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Nowadays the number of huge companies and corporations has in their disposition various non-structured texts, documents and other data. The absence of clearly defined structure of the data makes the implementation of searching queries complicated and even impossible depending on the storage size. The other problem connected with staff, which may face the problem with misunderstanding of the special query languages, knowledge of which is necessary for the execution of searching queries. To solve these problems, we propose the semantic search system, the possibilities of which include the searching index construction, for queries execution and the semantic map, which would help to clarify the queries. In this paper we are going to describe our algorithms and the architecture of the system, and also to give a comparison to analogues.
机译:如今,庞大的公司和公司的数量在各种非结构化文本,文件和其他数据中都有。没有明确定义的数据结构使得搜索查询复杂且甚至不可能根据存储大小来实现。与员工相连的其他问题可能面临着对特殊查询语言的误解,了解搜索查询所必需的问题。为了解决这些问题,我们提出了语义搜索系统,其中包括搜索索引构造,用于查询执行和语义地图,这将有助于阐明查询。在本文中,我们将描述我们的算法和系统的架构,并还与类似物进行比较。

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