The design of a high-performance, cost-effective, machine for retrieving textual data is discussed in this paper. High performance and cost effectiveness are achieved by a combination of low-cost hard disks, software filtering techniques, and a large amount of main memory. The discussion focuses on the signature processor, which is based on the partitioned signature file technique, and the mass storage system, which is based on a disk array. A performance evaluation on the individual system components, namely, the signature processor and the mass storage system, as well as the entire system is presented. *The author is on leave from the Department of Computer and Information Science, The Ohio State University, Columbus, OH 43210. 1 Introdu...
We adapt a competition-based connectionist model to information retrieval in this paper. This model,...
One of the key components of a multi-user multimedia-on-demand system is the data server. Digitaliza...
Large-scale web and text retrieval systems deal with amounts of data that greatly exceed the capacit...
The problem of eciently retrieving and ranking documents from a huge collection according to their r...
Abstract. It is argued that digital libraries of the future will contain terabyte-scale collections ...
An I/O intensive application, parallel full text retrieval based on a signature file method, is stud...
Information retrieval systems often have to deal with very large amounts of data. They must be able ...
The Parallel Document Retrieval Engine (PADRE) has hitherto lacked the ability to support multiple t...
This paper mainly discusses the efficiency of PFIRE system, a parallel VSM-based text retrieval syst...
With the continued growth of databases, there has become a greater need for special-purpose hardware...
Abstract. Free text retrieval is an important problem which can signi-cantly benet from a parallel a...
This article gives an overview of design considerations for a handwriting search engine based on pat...
In information retrieval systems, there are three types of index partitioning schemes - term partiti...
International audienceThis paper introduces a research about parallelization of an entire applicatio...
155 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1980.The problems involved in sear...
We adapt a competition-based connectionist model to information retrieval in this paper. This model,...
One of the key components of a multi-user multimedia-on-demand system is the data server. Digitaliza...
Large-scale web and text retrieval systems deal with amounts of data that greatly exceed the capacit...
The problem of eciently retrieving and ranking documents from a huge collection according to their r...
Abstract. It is argued that digital libraries of the future will contain terabyte-scale collections ...
An I/O intensive application, parallel full text retrieval based on a signature file method, is stud...
Information retrieval systems often have to deal with very large amounts of data. They must be able ...
The Parallel Document Retrieval Engine (PADRE) has hitherto lacked the ability to support multiple t...
This paper mainly discusses the efficiency of PFIRE system, a parallel VSM-based text retrieval syst...
With the continued growth of databases, there has become a greater need for special-purpose hardware...
Abstract. Free text retrieval is an important problem which can signi-cantly benet from a parallel a...
This article gives an overview of design considerations for a handwriting search engine based on pat...
In information retrieval systems, there are three types of index partitioning schemes - term partiti...
International audienceThis paper introduces a research about parallelization of an entire applicatio...
155 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1980.The problems involved in sear...
We adapt a competition-based connectionist model to information retrieval in this paper. This model,...
One of the key components of a multi-user multimedia-on-demand system is the data server. Digitaliza...
Large-scale web and text retrieval systems deal with amounts of data that greatly exceed the capacit...