By Marshall C. Yovits
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Extra resources for Advances in Computers, Vol. 30
Although this scheme can reduce memory requirement by as much as a factor of 100 (Roberts, 1978), it can mean substantially higher processing time per character, making it unsuitable if character processing is to match the rate of character delivery from the disk. As an alternative, a transition table encoded using Bird’s indexing has been suggested (Roberts, 1978). It uses two major types of states: sequential (contiguously stored) states for matching successive characters, and index states for N-way branches to non-contiguous states.
A. (1981). Automatic Query Formulations in Information Retrieval. Technical Report TR 82-524, Department of Computer Science, Cornell University, Ithaca, New York. , Fox, E. A,, and Wu, H. An Automatic Environment for Boolean Information Retrieval. Information Processing 83, IFIP, pp. 755-762. , and Hooper, J. W. (1988). An Architecture for Textual Information Retrieval. Proc. ACM 16th Annu. , pp. 107-1 12. SPECIALIZED PARALLEL ARCHITECTURES FOR TEXTUAL DATABASES 37 Sprawl, J. A. (1976). Computer-Assisted Legal Research-An Analysis of Full-Text Document Retrieval Systems, Particularly the LEXIS System.
IEEE Computer 12,45-50. Hollaar, L. A. (1985a). The Utah Text Search Engine: Implementation Experiences and Future Plans. In “Database Machines, 4th International Workshop” (D. J. DeWitt and H. ), pp. 3677376. Hollaar, L. A. (1985b). A Work Station-Based Approach to Text Retrieval and Manipulation. Proc. First lnt. Conf. Computer Workstations, pp. 11-14. Hollaar, L. A,, and Stellhorn, W. H. (1977). A Specialized Architecture for Textual Information Retrieval. Proc. Nat. Computer Conf. pp. 697-702.
Advances in Computers, Vol. 30 by Marshall C. Yovits