面向科技文献的语义检索系统研究综述

Review on Semantic Retrieval System for Scientific Literature

【目的】对典型科技文献语义检索系统进行调研和总结。【文献范围】利用Web of Knowledge和Google Scholar检索Semantic Search相关文献以及语义检索系统的参考文献和研究报告。【方法】根据文本语义处理程度,将这些系统归纳为语义查询扩展的检索系统、以概念或实体为中心的检索系统、以关系为中心的检索系统和面向知识发现的检索系统。【结果】提出科技文献语义检索系统的基本框架,总结科技文献语义检索系统功能特点。【局限】缺少对语义检索系统的性能评测。【结论】为构建面向科技文献的语义检索系统提供良好借鉴。

[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.