-
Lancaster, F.W.; Gillespie, C.J.: Design and evaluation of information systems (1970)
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- Source
- Annual review of information science and technology. 5(1970), S.33-70
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Lancaster, F.W.; Elliker, C.; Connell, T.H.: Subject analysis (1989)
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- Source
- Annual review of information science and technology. 24(1989), S.35-84
-
Lancaster, F.W.: Vocabulary control for information retrieval (1986)
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- Date
- 22. 4.2007 10:07:51
-
Lancaster, F.W.; Li, J.: ¬The law of constant accessibility of information (1988/89)
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- Source
- Bulletin of the American Society for Information Science. 15(1988/89), S.24-25
-
Lancaster, F.W.: Indexing and abstracting in theory and practice (1991)
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- Footnote
- Rez. in: Library and information science resaerch 14(1992) no.1, S.117-118 (C. Tenopir); International classification 19(1992) no.4, S.227-228 (R. Fugmann); Journal of the American Society for Information Science 43(1992) no.6, S.456 (B.R. Boyce); Cataloging & classification quarterly 15(1992) no.1, S.245-247 (E.M. Rasmussen) Journal of academic librarianship 18(1992) no.1, S.39 (G.A. Crawford) // Winner of the 1992 ASIS best information science book award
-
Lancaster, F.W.: Indexing and abstracting in theory and practice (2003)
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- Footnote
- Rez. in: JASIST 57(2006) no.1, S.144-145 (H. Saggion): "... This volume is a very valuable source of information for not only students and professionals in library and information science but also for individuals and institutions involved in knowledge management and organization activities. Because of its broad coverage of the information science topic, teachers will find the contents of this book useful for courses in the areas of information technology, digital as well as traditional libraries, and information science in general."
- Imprint
- Champaign, IL : Graduate School of Library and Information Science
-
Lancaster, F.W.: Artificial intelligence, expert systems and the digital library (1996)
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- Source
- Journal of information; communication; and library science. 3(1996) no.2, S.3-14
-
Lancaster, F.W.: Precision and recall (2009)
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- Abstract
- F.W. Lancaster's work has been immensely influential in library and information science. He has written on indexing and information system evaluation, and has been looked to as a pioneer in many areas. Here he describes precision and recall, the two most fundamental and widespread measures of information retrieval effectiveness.
-
Lancaster, F.W.: Libraries in the year 2001 (1993)
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- Source
- Herald of library science. 32(1993) nos.3/4, S.163-170
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Lancaster, F.W.; Ulvila, J.W.; Humphrey, S.M.; Smith, L.C.; Allen, B.; Herner, S.: Evaluation of interactive knowledge-based systems : overview and design for empirical testing (1996)
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- Source
- Journal of the American Society for Information Science. 47(1996) no.1, S.57-69
-
Lancaster, F.W.: From custodian to knowledge engineer : the evolution of librarianship as a profession (1995)
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- Source
- Journal of information; communication; and library science. 1(1995) no.4, S.3-8
-
Qin, J.; Lancaster, F.W.; Allen, B.: Types and levels of collaboration in interdisciplinary research in the sciences (1997)
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- Source
- Journal of the American Society for Information Science. 48(1997) no.10, S.893-916
-
Lancaster, F.W.; Warner, A.: Intelligent technologies in library and information service applications (2001)
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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.""
-
Lancaster, F.W.: Evaluating the performance of a large computerized information system (1985)
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- Abstract
- F. W. Lancaster is known for his writing an the state of the art in librarylinformation science. His skill in identifying significant contributions and synthesizing literature in fields as diverse as online systems, vocabulary control, measurement and evaluation, and the paperless society have earned him esteem as a chronicler of information science. Equally deserving of repute is his own contribution to research in the discipline-his evaluation of the MEDLARS operating system. The MEDLARS study is notable for several reasons. It was the first large-scale application of retrieval experiment methodology to the evaluation of an actual operating system. As such, problems had to be faced that do not arise in laboratory-like conditions. One example is the problem of recall: how to determine, for a very large and dynamic database, the number of documents relevant to a given search request. By solving this problem and others attendant upon transferring an experimental methodology to the real world, Lancaster created a constructive procedure that could be used to improve the design and functioning of retrieval systems. The MEDLARS study is notable also for its contribution to our understanding of what constitutes a good index language and good indexing. The ideal retrieval system would be one that retrieves all and only relevant documents. The failures that occur in real operating systems, when a relevant document is not retrieved (a recall failure) or an irrelevant document is retrieved (a precision failure), can be analysed to assess the impact of various factors an the performance of the system. This is exactly what Lancaster did. He found both the MEDLARS indexing and the McSH index language to be significant factors affecting retrieval performance. The indexing, primarily because it was insufficiently exhaustive, explained a large number of recall failures. The index language, largely because of its insufficient specificity, accounted for a large number of precision failures. The purpose of identifying factors responsible for a system's failures is ultimately to improve the system. Unlike many user studies, the MEDLARS evaluation yielded recommendations that were eventually implemented.* Indexing exhaustivity was increased and the McSH index language was enriched with more specific terms and a larger entry vocabulary.
