Title :
Compression: a key for next-generation text retrieval systems
Author :
Ziviani, Nivio ; De Moura, Edleno Silva ; Navarro, Gonzalo ; Baeza-Yates, Ricardo
Author_Institution :
Dept. of Comput. Sci., Univ. Federal de Minas Gerais, Belo Horizonte, Brazil
fDate :
11/1/2000 12:00:00 AM
Abstract :
The continually growing Web challenges information retrieval systems to deliver data quickly. The authors´ technique combines several data compression features to provide economical storage, faster indexing, and accelerated searches
Keywords :
Internet; data compression; full-text databases; indexing; information resources; information retrieval; Internet; World Wide Web; data compression; indexing; information retrieval; information retrieval systems; next-generation text retrieval systems; searching; Acceleration; Databases; Decoding; Frequency; Indexing; Information retrieval; Kernel; Keyword search; Office automation; Software libraries;
