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基于引文上下文的相关研究辅助生成系统设计与实现

王鑫 程齐凯 李信 陆伟

数字图书馆论坛Issue(8):16-23,8.
数字图书馆论坛Issue(8):16-23,8.DOI:10.3772/j.issn.1673-2286.2017.08.003

基于引文上下文的相关研究辅助生成系统设计与实现

Design and Implementation of Related Works Generation System Based on Citation Context

王鑫 1程齐凯 2李信 1陆伟2

作者信息

  • 1. 武汉大学信息管理学院,武汉430072
  • 2. 武汉大学信息检索与知识挖掘研究所,武汉430072
  • 折叠

摘要

Abstract

This article takes specific information needs when a scholar is writing related works or a edit reviews a paper to design and implement a related works assistant system based on citation context. Firstly, we expound the definition of citation context in academic texts and the progress of its recognition, then discuss the feasibility of implementation a system like this and design the thought and functional modules of it. Finally, the full text page data of 289926 scientific literatures included in the Science Direct database from 1957 to 2014 were used as data sources to realize a related research assistant generation system RWGS based on citation context. The result shows that RWGS can meet the needs of scholars in the preparation of the related works chapter or journal editor in the review process with more detailed information needs, which have a certain optimization effect, while the literature search the traditional academic database search results.

关键词

相关研究/辅助生成系统/引文上下文/计算机领域

Key words

Related Works/Assistant Generation System/Citation Context/Computer Science

分类

社会科学

引用本文复制引用

王鑫,程齐凯,李信,陆伟..基于引文上下文的相关研究辅助生成系统设计与实现[J].数字图书馆论坛,2017,(8):16-23,8.

基金项目

本研究得到中国博士后科学基金项目(编号:2016M602371)和国家自然科学基金青年项目"基于深度语义挖掘的引文推荐多样化研究"(编号:71704137)资助. (编号:2016M602371)

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