Affiliation:
1. Univ. of Toronto, Toronto, Ont., Canada
Abstract
This paper compares text retrieval methods intended for office systems. The operational requirements of the office environment are discussed, and retrieval methods from database systems and from information retrieval systems are examined. We classify these methods and examine the most interesting representatives of each class. Attempts to speed up retrieval with special purpose hardware are also presented, and issues such as approximate string matching and compression are discussed. A qualitative comparison of the examined methods is presented. The signature file method is discussed in more detail.
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
Cited by
165 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. Harnessing AI and DS for Fake News Detection and Prevention;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26
2. Machine learning for detecting fake news;2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2023-12-15
3. Signature-based Tree for Finding Frequent Itemsets;Journal of Communications Software and Systems;2023
4. An Efficient and Effective Index Structure for Query Evaluation in Search Engines;Advances in Computer and Electrical Engineering;2019
5. A Cognitive Information Retrieval Using POP Inference Engine Approaches;Emerging Trends and Applications in Cognitive Computing;2019