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  • × theme_ss:"Literaturübersicht"
  1. Buckland, M.K.; Liu, Z.: History of information science (1995) 0.11
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    Abstract
    State of the art review of the historical development of information science as deemed to be covered by the particular interests of memebers of the American Society for Information Science, as defined as the representation, storage, transmission, selection, retrieval, filtering, and use of documents and messages. Arranges the references cited roughly according to the classification scheme used by Information Science Abstracts, and so uses the headings: background; information science; techniques and technology; information related behaviour; application areas; social aspects; education for information science; institutions; individuals; geographical areas; and conclusions
    Date
    13. 6.1996 19:22:20
    Source
    Annual review of information science and technology. 30(1995), S.385-416
  2. Burke, C.: History of information science (2007) 0.09
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    Source
    Annual review of information science and technology. 41(2007), S.xxx-xxx
  3. Black, A.: ¬The history of information (2006) 0.07
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    Source
    Annual review of information science and technology. 40(2006), S.xxx-xxx
  4. Fallis, D.: Social epistemology and information science (2006) 0.07
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    Date
    13. 7.2008 19:22:28
    Source
    Annual review of information science and technology. 40(2006), S.xxx-xxx
  5. Enser, P.G.B.: Visual image retrieval (2008) 0.05
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    Date
    22. 1.2012 13:01:26
    Source
    Annual review of information science and technology. 42(2008), S.3-42
  6. Morris, S.A.: Mapping research specialties (2008) 0.05
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    Date
    13. 7.2008 9:30:22
    Source
    Annual review of information science and technology. 42(2008), S.xxx-xxx
  7. Nicolaisen, J.: Citation analysis (2007) 0.05
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    Date
    13. 7.2008 19:53:22
    Source
    Annual review of information science and technology. 41(2007), S.xxx-xxx
  8. Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987) 0.05
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    Source
    Annual review of information science and technology. 22(1987), S.109-145
  9. Smith, L.C.: Artificial intelligence and information retrieval (1987) 0.05
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    Source
    Annual review of information science and technology. 22(1987), S.41-77
  10. Warner, A.J.: Natural language processing (1987) 0.05
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    Source
    Annual review of information science and technology. 22(1987), S.79-108
  11. Grudin, J.: Human-computer interaction (2011) 0.05
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    Date
    27.12.2014 18:54:22
    Source
    Annual review of information science and technology. 45(2011) no.1, S.367-430
  12. Allen, B.: Cognitive research in information science : implications for design (1991) 0.04
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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
    Source
    Annual review of information science and technology. 26(1991), S.3-37
  13. Hsueh, D.C.: Recon road maps : retrospective conversion literature, 1980-1990 (1992) 0.03
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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
  14. Cornelius, I.: Theorizing information for information science (2002) 0.03
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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?
    Source
    Annual review of information science and technology. 36(2002), S.393-426
  15. Singh, S. (Sewa); Singh, S. (Sukhbir): Colon Classification : a select bibliography (1992) 0.03
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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,
  16. Chambers, S.; Myall, C.: Cataloging and classification : review of the literature 2007-8 (2010) 0.03
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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
  17. Capurro, R.; Hjoerland, B.: ¬The concept of information (2002) 0.03
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    Abstract
    The concept of information as we use it in everyday English, in the sense of knowledge communicated, plays a central role in contemporary society. The development and widespread use of computer networks since the end of World War II, and the emergence of information science as a discipline in the 1950s, are evidence of this focus. Although knowledge and its communication are basic phenomena of every human society, it is the rise of information technology and its global impacts that characterize ours as an information society. It is commonplace to consider information as a basic condition for economic development together with capital, labor, and raw material; but what makes information especially significant at present is its digital nature. The impact of information technology an the natural and social sciences in particular has made this everyday notion a highly controversial concept. Claude Shannon's (1948) "A Mathematical Theory of Communication" is a landmark work, referring to the common use of information with its semantic and pragmatic dimensions, while at the same time redefining the concept within an engineering framework. The fact that the concept of knowledge communication has been designated by the word information seems, prima facie, a linguistic happenstance. For a science like information science (IS), it is of course important how fundamental terms are defined; and in IS, as in other fields, the question of how to define information is often raised. This chapter is an attempt to review the status of the concept of information in IS, with reference also to interdisciplinary trends. In scientific discourse, theoretical concepts are not true or false elements or glimpses of some element of reality; rather, they are constructions designed to do a job in the best possible way. Different conceptions of fundamental terms like information are thus more or less fruitful, depending an the theories (and in the end, the practical actions) they are expected to support. In the opening section, we discuss the problem of defining terms from the perspective of the philosophy of science. The history of a word provides us with anecdotes that are tangential to the concept itself. But in our case, the use of the word information points to a specific perspective from which the concept of knowledge communication has been defined. This perspective includes such characteristics as novelty and relevante; i.e., it refers to the process of knowledge transformation, and particularly to selection and interpretation within a specific context. The discussion leads to the questions of why and when this meaning was designated with the word information. We will explore this history, and we believe that our results may help readers better understand the complexity of the concept with regard to its scientific definitions.
    Discussions about the concept of information in other disciplines are very important for IS because many theories and approaches in IS have their origins elsewhere (see the section "Information as an Interdisciplinary Concept" in this chapter). The epistemological concept of information brings into play nonhuman information processes, particularly in physics and biology. And vice versa: the psychic and sociological processes of selection and interpretation may be considered using objective parameters, leaving aside the semantic dimension, or more precisely, by considering objective or situational parameters of interpretation. This concept can be illustrated also in physical terms with regard to release mechanisms, as we suggest. Our overview of the concept of information in the natural sciences as well as in the humanities and social sciences cannot hope to be comprehensive. In most cases, we can refer only to fragments of theories. However, the reader may wish to follow the leads provided in the bibliography. Readers interested primarily in information science may derive most benefit from the section an "Information in Information Science," in which we offer a detailed explanation of diverse views and theories of information within our field; supplementing the recent ARIST chapter by Cornelius (2002). We show that the introduction of the concept of information circa 1950 to the domain of special librarianship and documentation has in itself had serious consequences for the types of knowledge and theories developed in our field. The important question is not only what meaning we give the term in IS, but also how it relates to other basic terms, such as documents, texts, and knowledge. Starting with an objectivist view from the world of information theory and cybernetics, information science has turned to the phenomena of relevance and interpretation as basic aspects of the concept of information. This change is in no way a turn to a subjectivist theory, but an appraisal of different perspectives that may determine in a particular context what is being considered as informative, be it a "thing" (Buckland, 1991b) or a document. Different concepts of information within information science reflect tensions between a subjective and an objective approach. The concept of interpretation or selection may be considered to be the bridge between these two poles. It is important, however, to consider the different professions involved with the interpretation and selection of knowledge. The most important thing in IS (as in information policy) is to consider information as a constitutive forte in society and, thus, recognize the teleological nature of information systems and services (Braman, 1989).
    Source
    Annual review of information science and technology. 37(2003), S.343-411
  18. Rasmussen, E.M.: Indexing images (1997) 0.03
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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
    Source
    Annual review of information science and technology. 32(1997), S.169-196
  19. Lievrouw, A.A.; Farb, S.E.: Information and equity (2002) 0.03
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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."
    Source
    Annual review of information science and technology. 37(2003), S.499-540
  20. Haas, S.W.: Natural language processing : toward large-scale, robust systems (1996) 0.03
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    Abstract
    State of the art review of natural language processing updating an earlier review published in ARIST 22(1987). Discusses important developments that have allowed for significant advances in the field of natural language processing: materials and resources; knowledge based systems and statistical approaches; and a strong emphasis on evaluation. Reviews some natural language processing applications and common problems still awaiting solution. Considers closely related applications such as language generation and th egeneration phase of machine translation which face the same problems as natural language processing. Covers natural language methodologies for information retrieval only briefly
    Source
    Annual review of information science and technology. 31(1996), S.83-119

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