Search (9 results, page 1 of 1)

  • × author_ss:"Gillman, P."
  • × language_ss:"e"
  • × type_ss:"a"
  • × year_i:[1990 TO 2000}
  1. Gillman, P.; Martin, G.: Database management (1993) 0.00
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    Abstract
    Distinguishes between static and dynamic data. Whether the database in question is a library catalogue or a mailing list it is almost bound to be modified. The cost of the routine upkeep of a database is likely to exceed all other costs. Shows how a database continues to grow as the rate of adding records exceeds that of deleting them. The management overhead has a corresponding increase
    Type
    a
  2. Gillman, P.: Text retrieval : key points (1992) 0.00
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    Abstract
    Gives a brief overview of what makes a text retrieval system. The text retrieval probelm is really one of how text is represented, and the tools can be used to find what is wanted. Draws comparisons with database management systems. Describes the workings of a text retrieval system, focusing on the description of concepts and ideas in words
    Type
    a
  3. Gillman, P.: Transferring text (1993) 0.00
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    Abstract
    Describes a consultancy project for the development of a health care thesaurus involving the movement of text between different application programs. The thesaurus was built from existing text within the organisation originating from 3 sources: natural language registry file headings; descriptions from an internal business directory and a controlled vocabulary. The software used was WordPerfect and Cardbox
    Type
    a
  4. Gillman, P.: Data handling and text compression (1992) 0.00
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    Abstract
    Data compression has a function in text storage and data handling, but not at the level of compressing data files. The reason is that the decompression of such files add a time delay to the retrieval process, and users can see this delay as a drawback of the system concerned. Compression techniques can with benefit be applied to index files. A more relevant data handling problem is that posed by the need, in most systems, to store two versions of imported text. The first id the 'native' version, as it might have come from a word processor or text editor. The second is the ASCII version which is what is actually imported. Inverted file indexes form yet another version. The problem arises out of the need for dynamic indexing and re-indexing of revisable documents in very large database applications such as are found in Office Automation systems. Four mainstream text-management packages are used to show how this problem is handled, and how generic document architectures such as OCA/CDA and SGML might help
    Type
    a
  5. Gillman, P.: ConQuest: retrieval on a large scale (1995) 0.00
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    Type
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  6. Gillman, P.: Intelligent OCR (1993) 0.00
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    Type
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  7. Gillman, P.: Assessing database quality (1995) 0.00
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  8. Gillman, P.: Assessing customer requirements (1994) 0.00
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  9. Gillman, P.: Text retrieval (1998) 0.00
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