Search (8 results, page 1 of 1)

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Date

17. 1.2000 13:16:22

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Date

22. 1.2017 16:45:48

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Abstract

A guide to database management, online searching, text retrieval, data analysis, intelligent documents and more ...

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Source

Information processing and management. 29(1993) no.5, S.569-585

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Source

Journal of information science. 22(1996) no.2, S.79-92

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Abstract

This paper reports the results of a study funded by the Arts and Humanities Research Board which sought to investigate links between Web search strategies and retrieval effectiveness. A total of 68 students, enrolled on masters programmes in librarianship, information management and information systems, searched for two topics using the AltaVista search engine. Logs of the resultant 341 queries, along with relevance judgements for over 4,000 retrieved items, were analysed using factor analysis and regression. The differing but complementary types and strengths of evidence produced by these two forms of analysis are discussed and presented. Retrieval effectiveness was associated positively with best-match searching and negatively with Boolean searching. The implications of these findings for Web searching are discussed.

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Abstract

Purpose The purpose of this paper is to develop a content analysis framework and from that derive a process model of knowledge construction in the context of virtual product user communities, organization sponsored online forums where product users collaboratively construct knowledge to solve their technical problems. Design/methodology/approach The study is based on a deductive and qualitative content analysis of discussion threads about solving technical problems selected from a series of virtual product user communities. Data are complemented with thematic analysis of interviews with forum members. Findings The research develops a content analysis framework for knowledge construction. It is based on a combination of existing codes derived from frameworks developed for computer-supported collaborative learning and new categories identified from the data. Analysis using this framework allows the authors to propose a knowledge construction process model showing how these elements are organized around a typical "trial and error" knowledge construction strategy. Practical implications The research makes suggestions about organizations' management of knowledge activities in virtual product user communities, including moderators' roles in facilitation. Originality/value The paper outlines a new framework for analysing knowledge activities where there is a low level of critical thinking and a model of knowledge construction by trial and error. The new framework and model can be applied in other similar contexts.

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Abstract

In this issue Ford, Miller and Moss utilize 68 volunteers from a population of 250 Master's students to complete on the web three search tasks with clear fact based goals and three or less facets. One task required broadening the search concepts from those given, a second provided a specific terminology for one facet but required a second facet that would require translation, and the third required general to specific transformation. The students were measured as to their performance on Entewistle's Revised Inventory of Approaches to Studying providing values for ten study variables and asked to assess their experience on the Internet, with Alta Vista, and with Boolean search. Searches were conducted on Alta Vista using Netscape Navigator 4 with participants free to choose and switch Boolean, best match or combined search modes at will while a front end script recorded all submitted searches and help access. Search related variables extracted were from Boolean only queries, best match only queries, and combined queries. Factor analyses were conducted on all variables for each search mode for each search. In task one Boolean is differentiated from best match search by sharing high loads on active interest, intention to reproduce, fear of failure, and relating ideas. The combined searcher is linked with the best match searcher with low active interest, low intention to reproduce and low fear of failure. In task 2 Boolean is differentiated from best match search by sharing high loads on intention to reproduce and low on intention to understand. Best match loads positively with intention to understand and negatively with intention to reproduce. Combined searching linked with both good and with poor time management. In task 3 the loads mimic task 1. It seems Boolean is consistently linked to a reproductive rather than a meaning seeking approach, but also with high levels of interest and fear of failure. Best match associates with the converse of these measures.