Number of found records: 59
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PARK, Hongseok |
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Relevance of science information: origins and dimensions of relevance and their implications to information retrieval |
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Information Processing and Management, 1997, vol. 33, n. 3, pp.339-52. |
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On line (13/05/2005) |
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24 graduate students' relevance judgements were observed to find dimensions and characteristics of relevance. Findings were: that relevance is multidimensional; that there are 2 types of relevance dimension, primary and secondary; that relevance dimensions show 3 orientations, problem, use, and value; and that the problem orientation is primary to the other orientations. The implications of these findings are that: 4 characteristics of important relevance dimensions were found; the important dimensions need to be applied to the system's measurement of relevance; relationships between thesaurus terms need to be set following the important dimensions; the important dimensions are useful for the effective evaluation of information retrieval; and that these and the orientations of relevance are useful to observe users' relevance judgements of the study of variables affecting relevance judgements. (AU) |
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Online information retrieval; Searching; Relevance feedback |
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PINTO, María |
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Documentary Abstracting: Toward a Methodological Model. |
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Journal of the American Society for Information Science. April 1995, vol. 46, nº 3, pp. 225-234. |
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On line (10/05/2005) |
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In the general abstracting process (GAP), there are two types of data: textual, within a particularly framed trilogy (surface, deep, and rhetoric); and documentary (abstractor, means of production, and user demands). For its development, the use of the following disciplines, among others, is proposed: linguistics (structural, transformational, and textual), logic (formal and fuzzy), and psychology (cognitive). The model for that textual transformation is based on a system of combined strategies with four key stages: reading-understanding, selection, interpretation, and synthesis. (AU) |
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abstracting methods; cognitive method; linguistic method |
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PINTO, María |
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Data representation factors and dimension from the quality function deployment (QFD) perspective. |
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Journal of information Science, 2006, vol.32, n.2, pp.116-130 |
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In order to optimize access to the increasing amount of information, a classic solution has been data representation. The aim of this research is to uncover and systematize the factors and dimensions involved in the data representation issue and more exactly in the planning and design of the information products (IP) and their previous representation processes (RP). QFD (quality function deployment) is a planning tool based on user needs and expectations - quality functions - allowing the planning and design of IPs and RPs. A series of linked deployments provides the implied factors and dimensions: IP planning factors-representing, relating, filtering and seeking relevant information; IP design_dimensions-relevance, format, comprehensiveness, consistency, accuracy and currentness; RP planning factors-comprehension, synthesizing, structuring and selecting; and RP design dimensions - human resources, computers and tangibles. By means of these deployments, the analysis of the factors and dimensions and their corresponding relationships provides an excellent picture for the quality planning and design of information products and representation processes. (AU) |
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abstracting quality; data quality; data representation; information quality; quality function deployment; representation processes; total data quality management |
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PINTO, María; LANCASTER, F.W. |
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Abstracts and abstracting in knowledge discovery |
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Library Trends, 1999, vol.48, n.1, p. 234-248 |
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On line ( 15/06/2004) |
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Various levels of criteria for judging the quality of abstracts and abstracting are presented. Requirements for abstracts to be read by humans are compared with requirements for those to be searched by computer. It is concluded that the wide availability of complete text in electronic form does not reduce the value of abstracts for information retrieval activities even in such more sophisticated applications as knowledge discovery (AU) |
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abstracts; evaluation; electronic document |
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