An architecture for textual information retrieval

ABSTRACT

Almost all Information Retrieval (IR) systems to date are based on extensive pre-processing of the data (indexing, abstracting, compression, or other surrogate full text representations such as “N-Grams”). This paper suggests an IR system based on the notion of full text handling with “minimal” pre-processing, made feasible by emerging multi-processor architectures. Various IR techniques and methods are examined for adaptation to this hardware environment, and an IR search strategy model is described.

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.5 PATTERN RECOGNITION
      I.5.4 Applications
          Subjects: Text processing

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Retrieval models

General Terms:
Design, Documentation, Human Factors, Languages, Management, Performance, Theory