Fact Retrieval and Deductive Question-Answering Information Retrieval Systems

Author:

Cooper William S.1

Affiliation:

1. International Business Machines Corporation, San Jose Research Laboratory, San Jose, California

Abstract

Information Retrieval systems may be classified either as Document Retrieval systems or Fact Retrieval systems. It is contended that at least some of the latter will require the capability for performing logical deductions among natural language sentences. The problem of developing systems of logical inference for natural languages is discussed, and an example of such an analysis of a sublanguage of English is presented. An experimental Fact Retrieval system which incorporates this analysis has been programmed for the IBM 7090 computer, and its main algorithms are stated.

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

Reference9 articles.

1. Some theoretical aspects of the mechanizatiol of literature searching. Techn. Rep. No. 3 Contr. No. N62558-2214 Off. Tectm. Ser. U.S. Dept. Commerce Wasillngton D.C. Apr. 1960. Some theoretical aspects of the mechanizatiol of literature searching. Techn. Rep. No. 3 Contr. No. N62558-2214 Off. Tectm. Ser. U.S. Dept. Commerce Wasillngton D.C. Apr. 1960.

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Internet of Things Based Combustible Ice Safety Monitoring System Framework;IOP Conference Series: Earth and Environmental Science;2017-05

2. The Relational Database and the Concept of the Information System;IEEE Annals of the History of Computing;2012-10

3. Guest Editorial: Spaces, Logic, and Link Analysis in IR: Recent Advances From A Mathematical and Logical Perspective;Information Retrieval;2005-04

4. Outline of a knowledge-base model for an intelligent information retrieval system;Information Processing & Management;1989-01

5. Bibliography;Readings in Artificial Intelligence and Databases;1989

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3