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Intelligent information processing for building university knowledge base

机译：建立大学知识库的智能信息处理

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摘要

There are many ready-to-use software solutions for building institutional scientific information platforms, most of which have functionality well suited to repository needs. However, there have already been discussions about various problems with institutional digital libraries. As a remedy, an approach that is researcher-centric (rather than document-centric) has been proposed recently in some systems. This paper is devoted to research aimed at tools for building knowledge bases for university research. We focus on the AI methods that have been elaborated and applied practically within our platform for building such knowledge bases. In particular we present a novel approach to data acquisition and the semantic enrichment of the acquired data. In addition, we present the algorithms applied in the real life system for experts profiling and retrieval.
机译：有许多现成的软件解决方案可用于构建机构科学信息平台，其中大多数功能都非常适合存储库需求。但是，已经有关于机构数字图书馆的各种问题的讨论。作为一种补救措施，最近在某些系统中提出了一种以研究者为中心（而不是以文档为中心）的方法。本文致力于针对旨在建立大学研究知识库的工具的研究。我们专注于在构建此类知识库的平台中已详细阐述和应用的AI方法。特别是，我们提出了一种新颖的方法来获取数据和获取数据的语义。此外，我们还介绍了在现实生活中应用于专家配置文件和检索的算法。

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