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Comaromi, C.L.: Summation of classification as an enhancement of intellectual access to information in an online environment (1990)
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- 8. 1.2007 12:22:40
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Vizine-Goetz, D.: OCLC investigates using classification tools to organize Internet data (1998)
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- Date
- 22. 9.1997 19:16:05
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Kent, R.E.: Organizing conceptual knowledge online : metadata interoperability and faceted classification (1998)
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- 30.12.2001 16:22:41
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Jenkins, C.: Automatic classification of Web resources using Java and Dewey Decimal Classification (1998)
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- Date
- 1. 8.1996 22:08:06
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Place, E.: Internationale Zusammenarbeit bei Internet Subject Gateways (1999)
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- Date
- 22. 6.2002 19:35:09
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Ardo, A.; Lundberg, S.: ¬A regional distributed WWW search and indexing service : the DESIRE way (1998)
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- Date
- 1. 8.1996 22:08:06
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Kwasnik, B.H.: ¬The role of classification in knowledge representation (1999)
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- Source
- Library trends. 48(1999) no.1, S.22-47
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Kniesner, D.L.; Willman, C.: But is it an online shelflist? : classification access in eight OPACs (1995)
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- Abstract
- As librarians increasingly try to use their online catalogues to do what used to be done with their card shelflists, they are realizing that some catalogue sedigners and vendors have not paid enough attention to online shelf order classification access. Compares the call number searching abilities of 8 prominent, mature library systems: VTLS, Inlex, Innovative Interfaces, Inc., Data Research Associates (DRA), Geac Advance, Dynix, SIRSI, and NOTIS. Using 5 criteria that are important to cataloguers, each system was tested and rated for its suitability as an online shelflist. *** Special note from the authors: "[We've] become aware of a new version of SIRSI's Unicorn library system-- version 7.0 that changes our rating of SIRSI in a major way. We had rated SIRSI Unicorn a "C" in the paper, but now we would rate version 7.0 an "A". This is indeed a major change. Fortunately, we identified version numbers for each system in the article: we had tested version 6.1 of SIRSI. Thus, version 7.0 of SIRSI Unicorn, available in early 1995, has improved to the point that it meets every criteria used in the article for suitability as an online shelflist. The authors have evaluated version 7.0 with an "A" rating." ***
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Svenonius, E.; Liu, S.; Subrahmanyam, B.: Automation of chain indexing (1992)
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- Abstract
- The last several years have seen the evolution of prototype systems exploiting the use of the Dewey Decimal Classification (DDC) as an interface to online catalogs. One such system, calles DORS (Dewy Online Retrieval System) was developed at the University of California, Los Angeles by the authors. The feature distinguishing this system is an automatically generated chain index, in particular the algorithms that were created for its automatic generation and the problems that were encountered. The problems were of three kinds: those that were overcome, but were not for lack of time and resources and those that we believe cannot be overcome. The paper concludes with suggestions for future resaerch and possible formatting changes to the DDC feature headings that would facilitate chain-index generation
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Liu, S.: Decomposing DDC synthesized numbers (1996)
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- Abstract
- Much literature has been written speculating upon how classification can be used in online catalogs to improve information retrieval. While some empirical studies have been done exploring whether the direct use of traditional classification schemes designed for a manual environment is effective and efficient in the online environment, none has manipulated these manual classifications in such a w ay as to take full advantage of the power of both the classification and computer. It has been suggested by some authors, such as Wajenberg and Drabenstott, that this power could be realized if the individual components of synthesized DDC numbers could be identified and indexed. This paper looks at the feasibility of automatically decomposing DDC synthesized numbers and the implications of such decomposition for information retrieval. Based on an analysis of the instructions for synthesizing numbers in the main class Arts (700) and all DDC Tables, 17 decomposition rules were defined, 13 covering the Add Notes and four the Standard Subdivisions. 1,701 DDC synthesized numbers were decomposed by a computer system called DND (Dewey Number Decomposer), developed by the author. From the 1,701 numbers, 600 were randomly selected fo r examination by three judges, each evaluating 200 numbers. The decomposition success rate was 100% and it was concluded that synthesized DDC numbers can be accurately decomposed automatically. The study has implications for information retrieval, expert systems for assigning DDC numbers, automatic indexing, switching language development, enhancing classifiers' work, teaching library school students, and providing quality control for DDC number assignments. These implications were explored using a prototype retrieval system.
