Evaluation of access methods to text documents in office systems
Proc. of the third joint BCS and ACM symposium on Research and development in information retrieval
An evaluation of retrieval effectiveness for a full-text document-retrieval system
Communications of the ACM
Robust transmission of unbounded strings using Fibonacci representations
IEEE Transactions on Information Theory
IOTA: a full text information retrieval system
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Signature files: an access method for documents and its analytical performance evaluation
ACM Transactions on Information Systems (TOIS)
ACM Transactions on Information Systems (TOIS)
ACM Transactions on Information Systems (TOIS)
Compiler Design Theory
Development of a Multimedia Information System for an Office Environment
VLDB '84 Proceedings of the 10th International Conference on Very Large Data Bases
A Multimedia Office Filing System
VLDB '83 Proceedings of the 9th International Conference on Very Large Data Bases
A Method for Speeding Up Text Retrieval
Databases for Business and Office Applications, Database Week
Design of a Document Filing and Retrieval Service
Databases for Business and Office Applications, Database Week
Lambda: An Entity-Relationship Based Query Language for the Retrieval of Structured Documents
Proceedings of the Fourth International Conference on Entity-Relationship Approach
OTTER - An information retrieval system for office automation
COCS '84 Proceedings of the second ACM-SIGOA conference on Office information systems
Searching by corpus with fingerprints
Proceedings of the 15th International Conference on Extending Database Technology
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This paper presents the integration of retrieval functions of an Information Retrieval System, IOTA, in an Office Information Server. Besides the linear scanning of the text (using a software and a hardware filter), two access methods are proposed. The first one is based on a simple indexing of documents based on signatures. Here, texts are treated as character strings. We call this method Textual Search. The second one is based on the extention of Signature Methods for implementing the Indexing Relation of IOTA, where meaningful terms (noun groups, for example) are identified in the text together with grammatical information. We call this method of signature computation the Indexing-Term Signature. The resulting access method is called Semantic Search. We present the current experimentations using the SCHUSS hardware filter as a scanning accelerator and the results of different alternatives of implementation of these Retrieval functions.