Automatic Recommendation of Panel Pool Using a Probabilistic Ontology and Researcher Networks
Automatic Recommendation of Panel Pool Using a Probabilistic Ontology and Researcher Networks
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使用概率本体和研究人员网络自动推荐面板池
DOI：
10.3743/kosim.2007.24.3.043
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
Hanmin Jung
中科院分区：
文献类型：
--
作者：
Jungyeoun Lee;Jae;In;Suk;Hanmin Jung
专家组自动推荐系统的设计应支持提案评审过程的普遍性、专业性、公平性、合理性。在本研究中，我们应用概率本体论来衡量学术领域分类中术语之间的相关性，扩大审稿候选人的数量，并根据他们的专业程度对推荐审稿人进行排名。此外，我们根据导师、合著者、合作研究等各种关系，构建了一个连接研究人员之间的研究网络。我们使用研究人员网络排除不合适的审稿人并支持审稿人推荐过程的公平性。我们推荐合适审稿人的方法是经过提案审查领域专家的验证的。它提出了开发合理的审稿人推荐系统的正确方法。
Automatic recommendation system of panel pool should be designed to support universal, expertness, fairness, and reasonableness in the process of review of proposals. In this research, we apply the theory of probabilistic ontology to measure relatedness between terms in the classification of academic domain, enlarge the number of review candidates, and rank recommendable reviewers according to their expertness. In addition, we construct a researcher network connecting among researchers according to their various relationships like mentor, coauthor, and cooperative research. We use the researcher network to exclude inappropriate reviewers and support fairness of reviewer recommendation process. Our methodology recommending proper reviewers is verified from experts in the field of proposal examination. It propose the proper method for developing a resonable reviewer recommendation system.