The SMART automatic document retrieval systems—an illustration
Communications of the ACM
Use of tree structures for processing files
Communications of the ACM
A document retrieval system for man-machine interaction
ACM '64 Proceedings of the 1964 19th ACM national conference
Information science in a Ph.D. computer science program
Communications of the ACM
Elements of the randomized combinatorial file structure
SIGIR '71 Proceedings of the 1971 international ACM SIGIR conference on Information storage and retrieval
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Automatic information retrieval programs require the manipulation of a variety of different data structures, including linear text, sparse matrices, and tree or list structures. The main data manipulations to be performed in automatic information systems are first briefly reviewed. A variety of data representations which have been used to describe structured information are then examined, and the characteristics of various processing languages are outlined in the light of the procedures requiring implementation. Advantages and disadvantages of these programming languages for the retrieval application are examined, and suggestions are made for the design of programming facilities to aid in information retrieval.