Search (43 results, page 1 of 3)

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Footnote

Simultaneously published as Retrospective Conversion: History, Approaches, Considerations

Source

Cataloging and classification quarterly. 14(1992) nos.3/4, S.5-22

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Date

13. 6.1996 19:22:20

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Abstract

This paper surveys library literature on cataloging and classification published in 2007-8, indicating its extent and range in terms of types of literature, major subject areas, and themes. The paper reviews pertinent literature in the following areas: the future of bibliographic control, general cataloging standards and texts, Functional Requirements for Bibliographic Records (FRBR), cataloging varied resources, metadata and cataloging in the Web world, classification and subject access, questions of diversity and diverse perspectives, additional reports of practice and research, catalogers' education and careers, keeping current through columns and blogs, and cataloging history.

Date

10. 9.2000 17:38:22

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Abstract

The 4th edition of this popular and well-cited text is now co-authored, and includes significant changes from earlier texts. Presenting a comprehensive review of over a century of research on information behavior (IB), this book is intended for students in information studies and disciplines interested in research on information activities. The initial two chapters introduce IB as a multi-disciplinary topic, the 3rd provides a brief history of research on information seeking. Chapter four discusses what is meant by the terms "information" and "knowledge. "Chapter five discusses "information needs," and how they are addressed. The 6th chapter identifies many related concepts. Twelve models of information behavior (expanded from earlier editions) are illustrated in chapter seven. Chapter eight reviews various paradigms and theories informing IB research. Chapter nine examines research methods invoked in IB studies and a discussion of qualitative and mixed approaches. The 10th chapter gives examples of IB studies by context. The final chapter looks at strengths and weaknesses, recent trends, and future development.

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Abstract

This paper surveys the English-language literature on cataloging and classification published during 2011 and 2012, covering both theory and application. A major theme of the literature centered on Resource Description and Access (RDA), as the period covered in this review includes the conclusion of the RDA test, revisions to RDA, and the implementation decision. Explorations in the theory and practical applications of the Functional Requirements for Bibliographic Records (FRBR), upon which RDA is organized, are also heavily represented. Library involvement with linked data through the creation of prototypes and vocabularies are explored further during the period. Other areas covered in the review include: classification, controlled vocabularies and name authority, evaluation and history of cataloging, special formats cataloging, cataloging and discovery services, non-AACR2/RDA metadata, cataloging workflows, and the education and careers of catalogers.

Date

10. 9.2000 17:38:22

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Abstract

This annotated bibliography lists materials dealing with information literacy including instruction in the use of information resources and research and computer skills related to retrieving, using, and evaluating information. This review, the 21st to be published in RSR, includes items in English published in 1994. A few are not annotated because the compiler could not obtain copies of them for this review

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Abstract

Part 1 of a 2 part article reviewing the technique of bibliometrics and one of its most widely used methods, citation analysis. Traces the history and development of bibliometrics, including its definition, scope, role in scholarly communication and applications. Treats citation analysis similarly with particular reference to bibliographic coupling and cocitation coupling

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Abstract

Traces the history and development of cognitive research techniques in information science and surveys current research that relies on the cognitive aspect. Examines information systems that make use of the insights of cognitive research, including experimental and proposed systems. Examples include systems that are designed to make appropriate demands on user cognitive processing. Points out that cognitive research in information science has focused primarily on users of information systems and to a lesser extent on information intermediaries. Design initiatives deriving from this research have been directed toward developing information technology that can adapt to the knowledge abilities, and styles of individual users and that make efficient use of the knowledge base and cognitive process of groups of users

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Footnote

Simultaneously published as Retrospective Conversion: History, Approaches, Considerations

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Abstract

Advanced technology has resulted in the generation of about one million terabytes of information every year. Ninety-reine percent of this is available in digital format (Keim, 2001). More information will be generated in the next three years than was created during all of previous human history (Keim, 2001). Collecting information is no longer a problem, but extracting value from information collections has become progressively more difficult. Various search engines have been developed to make it easier to locate information of interest, but these work well only for a person who has a specific goal and who understands what and how information is stored. This usually is not the Gase. Visualization was commonly thought of in terms of representing human mental processes (MacEachren, 1991; Miller, 1984). The concept is now associated with the amplification of these mental processes (Card, Mackinlay, & Shneiderman, 1999). Human eyes can process visual cues rapidly, whereas advanced information analysis techniques transform the computer into a powerful means of managing digitized information. Visualization offers a link between these two potent systems, the human eye and the computer (Gershon, Eick, & Card, 1998), helping to identify patterns and to extract insights from large amounts of information. The identification of patterns is important because it may lead to a scientific discovery, an interpretation of clues to solve a crime, the prediction of catastrophic weather, a successful financial investment, or a better understanding of human behavior in a computermediated environment. Visualization technology shows considerable promise for increasing the value of large-scale collections of information, as evidenced by several commercial applications of TreeMap (e.g., http://www.smartmoney.com) and Hyperbolic tree (e.g., http://www.inxight.com) to visualize large-scale hierarchical structures. Although the proliferation of visualization technologies dates from the 1990s where sophisticated hardware and software made increasingly faster generation of graphical objects possible, the role of visual aids in facilitating the construction of mental images has a long history. Visualization has been used to communicate ideas, to monitor trends implicit in data, and to explore large volumes of data for hypothesis generation. Imagine traveling to a strange place without a map, having to memorize physical and chemical properties of an element without Mendeleyev's periodic table, trying to understand the stock market without statistical diagrams, or browsing a collection of documents without interactive visual aids. A collection of information can lose its value simply because of the effort required for exhaustive exploration. Such frustrations can be overcome by visualization.
Visualization can be classified as scientific visualization, software visualization, or information visualization. Although the data differ, the underlying techniques have much in common. They use the same elements (visual cues) and follow the same rules of combining visual cues to deliver patterns. They all involve understanding human perception (Encarnacao, Foley, Bryson, & Feiner, 1994) and require domain knowledge (Tufte, 1990). Because most decisions are based an unstructured information, such as text documents, Web pages, or e-mail messages, this chapter focuses an the visualization of unstructured textual documents. The chapter reviews information visualization techniques developed over the last decade and examines how they have been applied in different domains. The first section provides the background by describing visualization history and giving overviews of scientific, software, and information visualization as well as the perceptual aspects of visualization. The next section assesses important visualization techniques that convert abstract information into visual objects and facilitate navigation through displays an a computer screen. It also explores information analysis algorithms that can be applied to identify or extract salient visualizable structures from collections of information. Information visualization systems that integrate different types of technologies to address problems in different domains are then surveyed; and we move an to a survey and critique of visualization system evaluation studies. The chapter concludes with a summary and identification of future research directions.

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Abstract

State of the art review of methods available for accessing collections of digital images by means of manual and automatic indexing. Distinguishes between concept based indexing, in which images and the objects represented, are manually identified and described in terms of what they are and represent, and content based indexing, in which features of images (such as colours) are automatically identified and extracted. The main discussion is arranged in 6 sections: studies of image systems and their use; approaches to indexing images; image attributes; concept based indexing; content based indexing; and browsing in image retrieval. The performance of current image retrieval systems is largely untested and they still lack an extensive history and tradition of evaluation and standards for assessing performance. Concludes that there is a significant amount of research to be done before image retrieval systems can reach the state of development of text retrieval systems

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Abstract

Inequities in information creation, production, distribution, and use are nothing new. Throughout human history some people have been more educated, better connected, more widely traveled, or more wellinformed than others. Until recently, relatively few have enjoyed the benefits of literacy, and even fewer could afford to own books. In the age of mass media, societies and social groups have varied dramatically in terms of their access to and uses of print, radio, television, film, telephone, and telegraph. What is new, however, is the growing attention being given to informational inequities in an increasingly information-driven global economy. Across disciplinary, national, and cultural boundaries, the widespread agreement is that the use of newer information and communication technologies (ICTs), particularly the Internet, has accelerated the production, circulation, and consumption of information in every form. But also a growing sense has arisen that ICTs have helped to exacerbate existing differences in information access and use, and may even have fostered new types of barriers. As Hess and Ostrom (2001, p. 45) point out, "Distributed digital technologies have the dual capacity to increase as well as restrict access to information."

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Content

Inhalt: General Classification, Colon Classification, Edition7, Philosophy, Conference, Literature Survey, Features, History. Countries and Areas , Theoru, Design of Classification, Classification Problems , Research in Classification, Trends in Classification, Depth Classification, Automatic Classification, Uses of Classification, Practical Classification, Application of Classification, Standards, Glossary.Teminology, classification and Reference Service, Classificationand Documentation, Classification and Communication, Classification and Retrieval, Comparison to Other Schemes, Canons, Isolates, Common Isolates , Space Isolates, Time Isolates, Special Isolates, Postulates, Fundamental Categories, Facet Formula, Optionl Facets, Rounds and Levels, Basic Subjects, Notation and Symbols, Array and Chanin, Devices, Mnemonics, Phase Relation, Systems and Specials, Book Number, Cooperative Calssification, Teaching of Classification, Classification of Specific Subjects, Book Science, Bibliography, Library and Information Science, Classification, Cataloguing, Mathematics, Cybernetics, Engineering, Computer, Chemistry, Crystallography, Technology. Food Technology, Corrosion, Parasitism, Geology , Agriculture, Zoology, Animal Husbandry, Medicine, Useful Arts, Military Science, Creative Arts, Aiterature, Sanskrit, Marathi, Tamil, Calssics, Linguistics, Philosophy, Ssocial Science, Geography, Maps, History , Political Science, Economics, Sociology, Law,

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Abstract

Does information science have a theory of information? There seems to be a tendency within information science to seek a theory of information, but the search is apparently unproductive (Hjoerland, 1998; Saracevic, 1999). This review brings together work from inside and outside the field of information science, showing that other perspectives an information theory could be of assistance. Constructivist claims that emphasize the uniqueness of the individual experience of information, maintaining that there is no information independent of our social practices (Cornelius, 1996a), are also mentioned. Such a position would be echoed in a symbolic interactionist approach. Conventionally, the history of attempts to develop a theory of information date from the publication of Claude Shannon's work in 1948, and his joint publication of that work with an essay by Warren Weaver in 1949 (Shannon & Weaver, 1949/1963). Information science found itself alongside many other disciplines attempting to develop a theory of information (Machlup & Mansfield, 1983). From Weaver's essay stems the claim that the basic concepts of Shannon's mathematical theory of communication, which Shannon later referred to as a theory of information, can be applied in disciplines outside electrical engineering, even in the social sciences.
Shannon provides a model whereby an information source selects a desired message, out of a set of possible messages, that is then formed into a signal. The signal is sent over the communication channel to a receiver, which then transforms the signal back to a message that is relayed to its destination (Shannon & Weaver, 1949/1963, p. 7). Problems connected with this model have remained with us. Some of the concepts are ambiguous; the identification of information with a process has spancelled the debate; the problems of measuring the amount of information, the relation of information to meaning, and questions about the truth value of information have remained. Balancing attention between the process and the act of receiving information, and deterrnining the character of the receiver, has also been the focus of work and debate. Information science has mined work from other disciplines involving information theory and has also produced its own theory. The desire for theory remains (Hjorland, 1998; Saracevic, 1999), but what theory will deliver is unclear. The distinction between data and information, or communication and information, is not of concern here. The convention that data, at some point of use, become information, and that information is transferred in a process of communication suffices for this discussion. Substitution of any of these terms is not a problem. More problematic is the relationship between information and knowledge. It seems accepted that at some point the data by perception, or selection, become information, which feeds and alters knowledge structures in a human recipient. What that process of alteration is, and its implications, remain problematic. This review considers the following questions: 1. What can be gleaned from the history of reviews of information in information science? 2. What current maps, guides, and surveys are available to elaborate our understanding of the issues? 3. Is there a parallel development of work outside information science an information theory of use to us? 4. Is there a dominant view of information within information science? 5. What can we say about issues like measurement, meaning, and misinformation? 6. Is there other current work of relevance that can assist attempts, in information science, to develop a theory of information?

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Date

22. 1.2012 13:01:26

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Date

13. 7.2008 9:30:22

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Date

13. 7.2008 19:22:28