Information retrieval
Block addressing indices for approximate text retrieval
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Query performance for tightly coupled distributed digital libraries
Proceedings of the third ACM conference on Digital libraries
Efficient distributed algorithms to build inverted files
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
PDIS '93 Proceedings of the second international conference on Parallel and distributed information systems
Modern Information Retrieval
Parallel Information Retrieval on an SCI-Based PC-NOW
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Parallel Search using Partitioned Inverted Files
SPIRE '00 Proceedings of the Seventh International Symposium on String Processing Information Retrieval (SPIRE'00)
GLIMPSE: a tool to search through entire file systems
WTEC'94 Proceedings of the USENIX Winter 1994 Technical Conference on USENIX Winter 1994 Technical Conference
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Text Information Retrieval (TIR) is considered the heart of many applications such as Document Management System (DMS). TIR that used for DMS requires different techniques of data structure than that used in the search engine. Search engine, requires special hardware (super computers with high memory) to perform information retrieval algorithms. In this paper, a new approach is developed to make it easy for DMS to perform the retrieval process with high performance. Conventional approaches are based on single inverted file but our approach is based on object and multi-tier inverted index files structure.