随着稿件数量的不断增长,审阅人指派越来越成为会议组织者、期刊编辑和基金委员会的一项费时费力的工作,计算机辅助审阅人指派研究也由此得到了更多的关注。稿件—审阅人相关度度量是该研究中的一个重点问题。该文设计了一种基于领域本体的稿件—审阅人相关度度量方法。该方法由文档关键词提取、领域本体的自动构建及基于网络流模型的稿件—审阅人相关度计算等部分组成。初步实验表明,该方法在国家自然科学基金申请书申请代码分配的任务中取得较好表现,优于单纯基于关键词字串相似度的方法。
Abstract
With the growing amount of manuscripts, reviewer assignment becomes an increasingly laborious task for conference organizers, journal editors and grant administrators. To develop a computer-aided reviewer assignment for this purpose, the measurement of relevance between manuscripts and reviewers is a key issue. This paper presents a domain ontology based relevance measurement method. This method includes keywords extraction of the manuscript, domain ontology mining and manuscript-reviewer relevance measurement based on the network flow algorithm. Preliminary experiments show that this method performs well in the task of domain assignment of the NSFC proposals, and outperforms string similarity based method.
关键词
审阅人指派 /
相似度计算 /
领域本体 /
信息检索
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Key words
reviewer assignment /
similarity computation /
domain ontology /
information retrieval
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参考文献
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脚注
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基金
国家自然科学基金(M1321005);国家自然科学基金(61472017)
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