[Objective] To investigate and summarize the typical semantic retrieval system for scientific literature. [Coverage] Use literatures related to semantic search retrieved by Web of Knowledge or Google Scholar, references and research reports of semantic retrieval systems. [Methods] This paper classifies current systems into four categories according to the degree of semantic processing, semantic query expansion retrieval system, concepts or entities centered retrieval system, relation-centered retrieval system, and retrieval system for knowledge discovery. [Results] The authors propose a basic framework of semantic retrieval systems for scientific literature, and summarize the features of semantic retrieval systems for scientific literature. [Limitations] Lack of performance evaluation of semantic retrieval system. [Conclusions] It provides a good guide for developing a semantic retrieval system for the scientific literature.
王颖, 吴振新, 谢靖. 面向科技文献的语义检索系统研究综述[J]. 现代图书情报技术, 2015, 31(5): 1-7.
Wang Ying, Wu Zhenxin, Xie Jing. Review on Semantic Retrieval System for Scientific Literature. New Technology of Library and Information Service, 2015, 31(5): 1-7.
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