ARGUMENTATION-BASED INDEXING FOR INFORMATION-RETRIEVAL FROM LEARNED ARTICLES

被引：3

作者：

SILLINCE, JAA

机构：

[1] Sheffield University Management School, Crookesmoor Building, Sheffield S10 1FL, Conduit Road

来源：

JOURNAL OF DOCUMENTATION | 1992年 / 48卷 / 04期

关键词：

D O I：

10.1108/eb026905

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Current indexing methods used in automated bibliographic and full text information retrieval assume that knowledge can be adequately represented as a semantic network which is manipulable by means of Boolean operators. However, this semantic approach requires the user to state formally what it is that he wants to find. This paper presents an alternative argumentation-based method. It involves representing a learned article by means of rhetorical structure rather than by a semantic representation of content.

引用

页码：387 / 405

页数：19

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