Search (26 results, page 1 of 2)

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Abstract

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

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Abstract

Purpose - The purpose of this paper is to report research that sought to understand the requirements of information systems designed to support people engaged in creative intellectual activity. The research aimed to provide empirical evidence based on a case study of a particular arena of creativity, namely electro-acoustic music composition. However, it also sought to identify issues that may apply more widely to other arenas of human creativity. Design/methodology/approach - The research was based on a related series of three in-depth studies of electro-acoustic music composers at work. These studies entailed the collection of qualitative data from interviews, observations and "think aloud" protocols. These data were analysed inductively to reveal concepts and relationships that formed the basis for a model of interactions between the composers and the information systems with which they were working. Findings - The paper presents a model of relationships between information system features and use, and the resulting effects in terms of the extent to which creativity was perceived by the composers to have been facilitated and inhibited. In particular, a number of tensions were identified which suggest that conventional "best practice" in the design of data-intensive information systems may be fundamentally at odds with the requirements of such systems to support important aspects of creativity. Research limitations/implications - The limitations associated with in-depth qualitative research based on small samples is acknowledged, relating in particular to its lack of ability to generalise on the basis of statistical probability. However, such an approach arguably offers the complementary strength of being particularly suited to exploratory research aimed essentially at charting new territory and identifying rich and possibly unanticipated constructs rather than testing hypotheses based on existing theory. The resultant findings, however, must remain tentative and provisional pending further systematic investigation designed to establish the extent to which they are generalisable. Practical implications - As well as identifying limitations in conventional approaches to designing data-intensive information systems, an alternative architecture is proposed which seeks better to map onto the requirements of creativity support. It is hoped that both the criticisms of conventional approaches and the proposed novel architecture may be of practical use to those engaged in the design of data-intensive creativity support systems. Originality/value - The research reported here offers a novel perspective on the design of information systems in that it identifies a tension between conventional "best practice" in system design and the requirements of important aspects of creativity support. It has the advantage of being based on the in-depth observation of real composers in action over protracted periods of time. It also proposes a novel system architecture which seeks to avoid reduce such tensions.

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Theme

Data Mining

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Abstract

Based on a review of constructs that have been the subject of both educational and information science research, a model of learning-related information behaviour is developed. The model details components of such behaviour, including: basic information processes, information processing types and information processing approaches; and factors affecting information behaviour relating to educational environments (in particular, learning objectives) and mental (including cognitive and affective) states. The complexity of information needs and associated relevance judgements implied by the model are discussed, as are implications for the provision of cognitively and affectively ergonomic access to information, and for research into learning-related information behaviour.

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Abstract

Research into information retrieval (IR) cannot yet answer the basic question of how we can design IR systems to help people search for information with optimal levels of effectiveness. In relation to human-system interaction, we have failed to develop any valid and at the same time robust user models capable of driving practical system development. If we strip away assumptions and over-optimism relating to the generalisability of what are essentially sporadic and fragmented research efforts, the great "darkness to light" ratio characterising our knowledge of human aspects of IR becomes apparent. From a more critical and pessimistic (but by no means less realistic) perspective, we are getting nowhere fast. A range of strategies is proposed to improve the situation by supporting relatively "horizontal" as well as "vertical" knowledge integration. These consist of: greater use of pluralistic research approaches; enhanced access to research data; more multidisciplinary and multi-perspective integrative reviews and conceptual mappings; and establishing a greater critical mass of published research findings sufficient to support the generation of a less sparse and fragmented evidence-based knowledge map. The potential of electronic publishing and data access for helping achieve these goals is discussed.

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Abstract

Purpose - The purpose of this paper is to describe: a new taxonomy of metacognitive skills designed to support the study of metacognition in the context of web searching; a data collection instrument based on the taxonomy; and the results of testing the instrument on a sample of university students and staff. Design/methodology/approach - The taxonomy is based on a review of the literature, and is extended to cover web searching. This forms the basis for the design of the data collection instrument, which is tested with 405 students and staff of Sheffield University. Findings - Subjects regard the range of metacognitive skills focused on as broadly similar. However, a number of significant differences in reported metacognition usage relating to age, gender and discipline. Practical implications - These findings contribute to the long-term aims of the research which are to: develop a model of the actual and potential role of metacognition in web searching, and identify strategic "metacognitive interventions" that can be built into an intelligent information retrieval system, driven by the model, capable of enhancing retrieval effectiveness by compensating for metacognitive weaknesses on the part of the searcher. Originality/value - The value of the paper lies in: the consideration of metacognition in the context of web searching, the presentation of an extensible taxonomy of metacognitive skills, development and testing of a prototype metacognitive inventory, finding of significant differences in reported metacognition usage according to age, gender and discipline, and reflection of the implications of the results for future research into web searching.

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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

As digital libraries become a major source of information for many people, we need to know more about how people seek and retrieve information in digital environments. Quite commonly, users with a problem-at-hand and associated question-in-mind repeatedly search a literature for answers, and seek information in stages over extended periods from a variety of digital information resources. The process of repeatedly searching over time in relation to a specific, but possibly an evolving information problem (including changes or shifts in a variety of variables), is called the successive search phenomenon. The study outlined in this paper is currently investigating this new and little explored line of inquiry for information retrieval, Web searching, and digital libraries. The purpose of the research project is to investigate the nature, manifestations, and behavior of successive searching by users in digital environments, and to derive criteria for use in the design of information retrieval interfaces and systems supporting successive searching behavior. This study includes two related projects. The first project is based in the School of Library and Information Sciences at the University of North Texas and is funded by a National Science Foundation POWRE Grant <http://www.nsf.gov/cgi-bin/show?award=9753277>. The second project is based at the Department of Information Studies at the University of Sheffield (UK) and is funded by a grant from the British Library <http://www.shef. ac.uk/~is/research/imrg/uncerty.html> Research and Innovation Center. The broad objectives of each project are to examine the nature and extent of successive search episodes in digital environments by real users over time. The specific aim of the current project is twofold: * To characterize progressive changes and shifts that occur in: user situational context; user information problem; uncertainty reduction; user cognitive styles; cognitive and affective states of the user, and consequently in their queries; and * To characterize related changes over time in the type and use of information resources and search strategies particularly related to given capabilities of IR systems, and IR search engines, and examine changes in users' relevance judgments and criteria, and characterize their differences. The study is an observational, longitudinal data collection in the U.S. and U.K. Three questionnaires are used to collect data: reference, client post search and searcher post search questionnaires. Each successive search episode with a search intermediary for textual materials on the DIALOG Information Service is audiotaped and search transaction logs are recorded. Quantitative analysis includes statistical analysis using Likert scale data from the questionnaires and log-linear analysis of sequential data. Qualitative methods include: content analysis, structuring taxonomies; and diagrams to describe shifts and transitions within and between each search episode. Outcomes of the study are the development of appropriate model(s) for IR interactions in successive search episodes and the derivation of a set of design criteria for interfaces and systems supporting successive searching.

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Source

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

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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

Proposes the development of an 'intelligent document' as a key component of the future electronic library; in which the intelligent documents in a library collection may be thought of as the ability of documents or a collection of documents to adapt to differing characteristics of individual information seekers and users. Proposes the sort of intelligent document that could: identify particular learning strategies being used by individual users; classify them in terms of a model of learning capable of making explicit relationships between strategies, individual differences, learning tasks, and learning outcomes; and offer, on the basis of this model, individualized strategic advice (or take individualized strategic action) relating to how the user might most productively go forward. Describes results obtained during the study, conducted at the Department of Information Studies, Sheffield University, UK, involving PRECIS documents, fuzzy data analysis and artificial neural networks

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Abstract

The research reported here was an exploratory study that sought to discover the effects of human individual differences an Web search strategy. These differences consisted of (a) study approaches, (b) cognitive and demographic features, and (c) perceptions of and preferred approaches to Web-based information seeking. Sixtyeight master's students used AItaVista to search for information an three assigned search topics graded in terms of complexity. Five hundred seven search queries were factor analyzed to identify relationships between the individual difference variables and Boolean and best-match search strategies. A number of consistent patterns of relationship were found. As task complexity increased, a number of strategic shifts were also observed an the part of searchers possessing particular combinations of characteristics. A second article (published in this issue of JASIST; Ford, Miller, & Moss, 2005) presents a combined analyses of the data including a series of regression analyses.

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Abstract

This is the second of two articles published in this issue of JASIST reporting the results of a study investigating relationships between Web search strategies and a range of human individual differences. In this article we provide a combined analysis of the factor analyses previously presented separately in relation to each of three groups of human individual difference (study approaches, cognitive and demographic features, and perceptions of and approaches to Internet-based information seeking). It also introduces two series of regression analyses conducted an data spanning all three individual difference groups. The results are discussed in terms of the extent to which they satisfy the original aim of this exploratory research, namely to identify any relationships between search strategy and individual difference variables for which there is a prima facie case for more focused systematic study. It is argued that a number of such relationships do exist. The results of the project are summarized and suggestions are made for further research.

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Abstract

Ellis, et alia, now provide part five of their study on mediated searching which is treated separately here because of the presence of additional authors. The data source remains cases collected from 198 individuals, 87 in Texas and 111 in Sheffield in the U.K. but the focus here is on seeker/intermediary interaction utilizing the Saracevic triadic IR model, and the method is the analysis of discourse. While the pre-search interview stressed problem definition, interaction during the search in terms of relevance and magnitude continued to develop the problem statement. The user and intermediary focused on search tactics, review and relevance, while the intermediary interaction with the system was comprised of terminology and answers. The interaction clearly affected the search process. Users and intermediaries considered the process effective and users felt the intermediary increased their overall satisfaction.

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Abstract

In this issue we begin with the first of four parts of a five part series of papers by Spink, Wilson, Ford, Foster, and Ellis. Spink, et alia, in the first section of this report set forth the design of a project to test whether existing models of the information search process are appropriate for an environment of mediated successive searching which they believe characterizes much information seeking behavior. Their goal is to develop an integrated model of the process. Data were collected from 198 individuals, 87 in Texas and 111 in Sheffield in the U.K., with individuals with real information needs engaged in interaction with operational information retrieval systems by use of transaction logs, recordings of interactions with intermediaries, pre, and post search interviews, questionnaire responses, relevance judgments of retrieved text, and responses to a test of cognitive styles. Questionnaires were based upon the Kuhlthau model, the Saracevic model, the Ellis model, and incorporated a visual analog scale to avoid a consistency bias.

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Abstract

This report explores the intellectual processes entailed during information seeking, as information needs are generated and information is sought and evaluated for relevance. It focuses an the details of cognitive processing, reviewing a number of models. In particular, Popper's model of the communication process between an individual and new information is explored and elaborated from the perspective of Pask's Conversation Theory. The implications of this theory are discussed in relation to the development of what Cole has termed "enabling" information retrieval systems.

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Abstract

For the purposes of this article, the indexing of information is interpreted as the pre-processing of information in order to enable its retrieval. The definition thus spans a dimension extending from classification-based approaches (pre-co-ordinate) to keyword searching (post-co-ordinate). In the first section we clarify our use of terminology, by briefly describing a framework for modelling IR systems in terms of sets of objects, relationships and functions. In the following 3 sections, we discuss the application of indexing functions to document collections of 3 specific types: (1) 'conventional' text databases; (2) hypertext databases; and (3) the World Wide Web, globally distributed across the Internet

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Abstract

Purpose - This paper aims to examine our current knowledge of how searchers perceive and react to the possibility of missing potentially important information whilst searching the web is limited. The study reported here seeks to investigate such perceptions and reactions, and to explore the extent to which Simon's "bounded rationality" theory is useful in illuminating these issues. Design/methodology/approach - Totally 37 academic staff, research staff and research students in three university departments were interviewed about their web searching. The open-ended, semi-structured interviews were inductively analysed. Emergence of the concept of "good enough" searching prompted a further analysis to explore the extent to which the data could be interpreted in terms of Simon's concepts of "bounded rationality" and "satisficing". Findings - The results indicate that the risk of missing potentially important information was a matter of concern to the interviewees. Their estimations of the likely extent and importance of missed information affected decisions by individuals as to when to stop searching - decisions based on very different criteria, which map well onto Simon's concepts. On the basis of the interview data, the authors propose tentative categorizations of perceptions of the risk of missing information including "inconsequential" "tolerable" "damaging" and "disastrous" and search strategies including "perfunctory" "minimalist" "nervous" and "extensive". It is concluded that there is at least a prima facie case for bounded rationality and satisficing being considered as potentially useful concepts in our quest better to understand aspects of human information behaviour. Research limitations/implications - Although the findings are based on a relatively small sample and an exploratory qualitative analysis, it is argued that the study raises a number of interesting questions, and has implications for both the development of theory and practice in the areas of web searching and information literacy. Originality/value - The paper focuses on an aspect of web searching which has not to date been well explored. Whilst research has done much to illuminate searchers' perceptions of what they find on the web, we know relatively little of their perceptions of, and reactions to information that they fail to find. The study reported here provides some tentative models, based on empirical evidence, of these phenomena.

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Abstract

In "Part 3. Successive Searching.'' where Spink is the primary author, after a review of the work on successive searching, a portion of the Texas generated data is reviewed for insights on how frequently successive searching occurred, the motivation for its occurrence, and any distinctive characteristics of the successive search pattern. Of 18 mediated searches, half requested a second search and a quarter a third search. All but one seeker reported a need to refine and enhance the previous results. Second searches while characterized as refinements included a significantly higher number of items retrieved and more search cycles. Third searches had the most cycles but less retrieved items than the second. Number of terms utilized did not change significantly and overlap was limited to about one in five terms between first and second searches. No overlap occurred between the second and third searches. Problem solving stage shifts did occur with 2 moving to a later stage after the first search, 5 remaining in the same stage and one reverting to a previous stage. Precision did not increase over successive searches, but partial relevant judgments decreased between the second and third search.