句子级知识抽取在情报学中的应用分析  

Analysis of the Application of the Sentence-level Knowledge Extraction in Information Science

作　　者：郑彦宁[1] 化柏林[1] 

机构地区：[1]中国科学技术信息研究所,北京100038

出　　处：《情报理论与实践》2011年第12期1-4,共4页Information Studies:Theory & Application

基　　金：国家自然科学基金项目"基于句子匹配分析的知识抽取研究与实现"的研究成果之一;项目编号:70803048

摘　　要：通过比较句子级知识抽取与词语级知识抽取的差异性,分析句子级知识抽取在情报学中的意义,表现在四类典型应用系统:学术抄袭检测系统、参考文献自动标注系统、文献自动综述系统、知识库构建系统。分析了知识抽取的难点与关键技术,针对难点与关键技术提出了知识抽取的3个转向:抽取对象转向以学术文献为主;抽取技术转向以内容结构分析为主;抽取目标转向以构建知识元数据库为主。Based on the comparison of the differences between sentence-level knowledge extraction and word- level knowledge extraction, this paper analyzes the significance of the sentence-level knowledge extraction in information science. It＇s represented in the 4 typical application systems ： academic plagiarism detection system, automatic reference-labeling system, automatic literature summarizing system and knowledge base construction system. After analyzing the difficulties and key technologies of knowledge extraction, this paper proposes 3 shifts of knowledge extraction in accordance with the difficulties and key technologies ： extraction object shifts to giving priority to academic literature; extraction technology shifts to giving priority to content structure analysis; and extraction objective shifts to giving priority to constructing knowledge metadata base.

关 键 词：知识抽取 情报学 应用研究 

分 类 号：G350[文化科学—情报学]