Search (6 results, page 1 of 1)

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Abstract

Reports an unobtrusive study of the ability of professional librarians to deal with factual questions conducted at the Milner Library, Illinois State University. Standards were recruited to pose questions for which answers were known, to 19 librarians in 5 departments. In all, 190 test incidents (10 questions for each of the 19 librarians) were used. Librarians were evaluated on the accuracy of the responses given and on their responsiveness and helpfulness, as judged by the student proxies. Describes the methods used in the study, including the accuracy and attitude scales developed, presents the major results, and makes suggestions on the follow-up action that seems appropriate after a study of this kind has been performed

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Abstract

Reports on a study which collected a sample of 846 scientific research papers published in 1992 and tests 3 hypotheses on the relationship between research collaboration and interdisciplinarity. Results showed significant differences in degrees of interdisciplinarity among different levels of collaboration and among different disciplines. Collaboration contributed significantly to the degree of interdisciplinarity in some disciplines and not in others. Uses a survey that asked authors about their form of collaboration, channels of communication and use of information. The survey provides some qualitative explanation for the bibliometrics findings. Discusses the perspective of scientist-scientist interaction, scientist-information interaction and information-information interaction

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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

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Abstract

Reports results of an evaluation of 2 expert systems designed for use in library reference services: ReferenceExpert (RE), developed by Houston University; and SourceFinder (SF), developed by Illinois University at Urbana-Champaign. The test group consisted of 60 graduate students at the initial stage of an intermediate level reference course. The evaluation involved test questions already used in an earlier study (College and research libraries 52(1991) no.5, S.454-465). Results indicated that: there was no significant difference between RE and SF students in the confidence they expressed regarding understanding of their test questions; no significant correlation was found between confidence in understanding the question and success in selecting appropriate sources; only 1/5 of the students agreed that the system they used could be considered 'intelligent'; the majority did not consider the system they used to be 'competent'; almost half agreed that the subject categories provided by the menus were too broad; a little more than half wer not satisfied with the information sources selected by their system; significantly more RE users than SF users agreed that they found the menu interface useful; and a keyword search capability was the feature most often mentioned as a needed system enhancement. Overall results indicated that current expert systems for the selection of reference sources cannot perform as well as experienced subject oriented reference librarians

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Date

22. 4.2007 10:07:51

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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.""