用于技术分析和预测的信息检索系统

2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT) Pub Date : 2015-11-01 DOI:10.1109/AINL-ISMW-FRUCT.2015.7382969

N. Nikitinsky, Dmitry Ustalov, Sergey Shashev

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引用次数: 4

摘要

专家对拨款提案和研究项目的评估通常由专门的决策支持系统来促进，该系统可以分析大型领域相关文本语料库中的研究和行业趋势。尽管已经有了针对英语的生产级技术预测系统，但俄罗斯的专利数据库和引文索引是与全球的专利数据库和引文索引相隔离的。这使得在俄罗斯进行的研究中的技术分析和预测变得复杂。本文提出了一个面向俄语的科学信息检索系统。该系统利用专利、研究论文和政府合同，通过向专家提供相关文件，促进专家鉴定过程。将我们的系统与流行的基线进行比较，显示出令人鼓舞的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An information retrieval system for technology analysis and forecasting

Expert evaluation of grant proposals and research projects is often facilitated by specialized decision support systems, which analyze research and industry trends in a large domain-dependent text corpus. Despite that there exist production-grade technological forecasting systems for English, Russian patent databases and citation indexes had been developed isolated from the global ones. This complicates technology analysis and forecasting in research conducted in Russia. In this paper, we present a scientific information retrieval system designed for the Russian language. The system uses patents, research papers and government contracts for facilitating the expertise process by providing the experts with relevant documents. Comparison of our system with a popular baseline shows promising results.

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2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT)

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