WHIRL: A word-based information representation language

被引：23

作者：

Cohen, WW ^{[1
]}

机构：

[1] AT&T Labs Res, Shannon Lab, Florham Park, NJ 07932 USA

来源：

ARTIFICIAL INTELLIGENCE | 2000年 / 118卷 / 1-2期

关键词：

knowledge representation; information retrieval; textual similarity; heterogeneous databases; information integration; text categorization; information extraction;

D O I：

10.1016/S0004-3702(99)00102-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe WHIRL, an "information representation language" that synergistically combines properties of logic-based and text-based representation systems. WHIRL is a subset of Datalog that has been extended by introducing an atomic type for textual entities, an atomic operation for computing textual similarity, and a "soft" semantics; that is, inferences in WHIRL are associated with numeric scores, and presented to the user in decreasing order by score. This paper briefly describes WHIRL, and then surveys a number of applications. We show that WHIRL strictly generalizes both ranked retrieval of documents, and logical deduction; that nontrivial queries about large databases can be answered efficiently; that WHIRL can be used to accurately integrate data from heterogeneous information sources, such as those found on the Web; that WHIRL can be used effectively for inductive classification of text; and finally, that WHIRL can be used to semi-automatically generate extraction programs for structured documents. (C) 2000 Published by Elsevier Science B.V. All rights reserved.

引用

页码：163 / 196

页数：34

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