Search (5 results, page 1 of 1)

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Abstract

To investigate the extent to which online catalogs arrange together, or collocate, records representing particular authors and works, a survey compared the displays resulting from 5 author and 5 work queries in 18 online catalogs. Dependent variables to measure collocation included the number of items irrelevant records were interfiled among relevant records. Searches for worst-case authors and works associated with large retrieval sets, including 'Homer' and 'Paradise lost', revealed the effects of Boolean versus string matching, query type, and catalog size on the collocation of relevant records. Results of the survey showed that string matching collocated relevant records more successfully than Boolean matching, that author records were collocated more successfully than work records, and, surprisingly, that catalog size had only a small effect on collocation

Source

Journal of the American Society for Information Science. 47(1996) no.7, S.538-554

Type

a

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Abstract

Central to subject searching is the match between user vocabulary and the headings from Library of Congress Subject-Headings (LCSH) used in a library catalog. This paper evaluates previous matching studies, proposes a detailed list of matching categories, and tests LCSH in a study using these categories. Exact and partial match categories are defined for single LCSH and multiple LCSH matches to user expressions. One no-match category is included. Transaction logs from ORION, UCLA's online Information system, were used to collect user expressions for a comparison of LCSH and user language. Results show that single LCSH headings match user expressions exactly about 47% of the time; that single subject heading matches, including exact matches, comprise 74% of the total; that partial matches, to both single and multiple headings, comprise about 21% of the total; and that no match occurs 5% of the time.

Type

a

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Abstract

This paper examines a user categorisation of documents related to a particular literary work. 50 study participants completed an unconstrained sorting rask of documents related to Charles Dickens' 'A christmas carol'. After they had finished the sorting task, participants wrote desriptions of the attributes they used to create each group. Content analysis of theses descriptions revealed categories of attributes used for grouping. Participants used physical format, audience, content description, pictorial elements, usage, and language most frequently for grouping. Many of the attributes participants used for grouping already exist in bibliographic records and may be used to cluster records related to works automatically in online catalogue displays. The attributes used by people in classifying or grouping documents related to a work may be used to guide the design of summary online catalogue work displays

Type

a

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Abstract

The 2nd objective of the catalogue, adopted internationally in the Paris Principles, requires that cataloguing records for particular authors and particular works be easily identified (IFLA 1991). Analysis of the requirements of the 2nd objective of the catalogue shows that it has 2 components: a retrieval component; and a display component; and that it may be interpreted broadly to include related works and works about a work or author. Investigates 2 schemes for their contributions to the creation of online catalogue displays that meet 2nd objective requirements. Analyzes the catalogue filing rule scheme to show that author and work displays in card catalogues have been composed of many groups or classes of materials that may also be used to create organized displays in online catalogues. The groups used in the filing rule scheme are based on relationships among items. Proposes a scheme based on Tillet's bibliographic relationship taxonomy to discover additional types of relationships that may be used to group record in online catalogue displays leading to a new scheme for the creation of organized display in online catalogues. Incorporates elements from both the filing rule scheme and the bibliographic relationship taxonomy to create displays that meet the requirements of the 2nd objective more fully than either scheme does alone

Type

a

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Abstract

Displays grouping retrieved bibliographic record sets into categories or clusters may communicate search results more quickly and effectively to users than current catalogs providing long alphabetical lists of records. In this research, automatic clustering based on types of relationships, including translation, presence of illustrations, etc., is proposed as a model for clustering. Bibliographic records associated with three large fiction works (Kidnapped by Robert Lewis Stevenson, Bleak House by Charles Dickens, and Three Musketeers by Alexandre Dumas) are analyzed to discover the presence of relationship-type indicators to determine the extent to which an automatic clustering program would succeed in clustering work records. Preliminary results show that 94 percent of the records in this study contained indicators of cluster type that would allow them to be correctly identified automatically

Type

a