Search (5 results, page 1 of 1)

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Classification

ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme

Date

22. 4.2007 10:07:51

RVK

ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme

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Abstract

Reports results of an analysis of 205 randomly selected records from the OCLC OLUC, to test the assumption that online catalogues have greatly improved subject searching capabilities, over card catalogues, by making other fields in the records searchable as subject access points (SAPs). Results showed considerable overlap (duplication) among the SAPs provided by the title, subject heading and classification number fields. On average, little more than 4 unique, unduplicated access points were found per record. Where title and classification number fields do add some access points not provided by subject headings, the increase is less than many librarians might be expected. Suggests that OPACs might outperform catalogues more in precision than in recall by allowing greater discrimination in searching; terms from different fields may be combined; titles offer greater specifity; searches can be limited by date, language or other criteria

Theme

Katalogfragen allgemein

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Theme

Katalogfragen allgemein

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Content

Enthält die Kapitel: Indexing principles, Indexing practice, Precoordinate indexes, Consistency of indexing, Quality of indexing, Abstracts: types and functions, Writing the Abstract, Evaluation aspects, Approaches used in indexing and abstracting services, Enhancing the indexing, On the indexing and abstracting of imaginative works, Indexing multimedia sources, Texte searching, Automatic indexing, automatic abstracting, and related procedures, Indexing and the Internet, The future of indexing and abstracting, exercises in indexing and abstracting

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Footnote

Rez. in: JASIST 53(2002) no.4, S.321-322 (I. Fourie): "A substantial literature exists on artificial intelligence (AI) and expert systems in general, as well as in Library and Information Science (LIS). Many reports are over-confident and grossly exaggerate the power and potential of artificial intelligence (AI). This is especially true of the first phase of At, and to some extent also of the third phase that is stimulated by developments surrounding the Internet. The middle phase was mostly marked by disillusionment about the potential of Al and expert systems. The confusion around the promises made by AI and the lack of operational success, leaves managers of library and information services with the dilemma of distinguishing between worthwhile research reporting on operational projects and projects that exists only on paper or in the researchers' heads. It is very difficult to sieve between the two when working through the subject literature, and to distinguish between working technology/applications and wishful thinking. This might be one reason why working systems are sometimes ignored. According to Lancaster and Warner, library managers must also look much wider than the LIS literature to note new trends; this can, however, become a daunting task. Against this background the authors report on a study conducted with the support of the Special Libraries Association's Steven I. Goldspiel Memorial Research Grant. The objective of the study was to gain sufficient familiarity with the developments in Al and related technologies to make recommendations to the information service community on what can be applied, and what to expect in the near future. The intention therefore was to focus on systems that are actually operational, and systems that hold potential for the future. Since digital libraries seems an inevitable part of our future, applications concerning them features strongly in the final recommendations. The scope of AI in Library and Information Science depends on the interpretation of the concepts artificial intelligence and expert systems. "If a system has to `behave intelligently' (e.g. make inferences or learn from its mistakes) to qualify as having AI, few such systems exist in any application. On the other hand, if one accepts that a system exhibits AI if its does things that humans need intelligence to do, many more systems would qualify" (p. 107). One example is the field of subject indexing. The same would apply if a more relaxed definition of expert systems is applied as a system that "can help the non-expert perform some task at a level closer to that of an expert, whether or not all the essential components are in place" (p. 107). Most of the AI literature relevant to libraries falls in the field of expert systems. Lancaster and Warner identify (p. 6) expert systems as " a branch of artificial intelligence, even though very few expert systems exhibit true intelligence.""