Search (9 results, page 1 of 1)

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Abstract

Fundamental forms of information, as well as the term information itself, are defined and developed for the purposes of information science/studies. Concepts of natural and represented information (taking an unconventional sense of representation), encoded and embodied information, as well as experienced, enacted, expressed, embedded, recorded, and trace information are elaborated. The utility of these terms for the discipline is illustrated with examples from the study of information-seeking behavior and of information genres. Distinctions between the information and curatorial sciences with respect to their social (and informational) objects of study are briefly outlined.

Date

22. 3.2009 18:15:22

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Abstract

Discussion in the research community and among the general public regarding content indexing (especially subject indexing) and access to digital resources, especially on the Internet, has underutilized research on a variety of factors that are important in the design of such access mechanisms. Some of these factors and issues are reviewed and implications drawn for information system design in the era of electronic access. Specifically the following are discussed: Human factors: Subject searching vs. indexing, multiple terms of access, flok classification, basic level terms, and folk access; Database factors: Bradford's law, vocabulary scalability, the Resnikoff-Dolby 30:1 Rule; Domain factors: Role of domain in indexing

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Abstract

Optimal retrieval in on-line searching can be achieved through combined use of both natural language and controlled vocabularies. However, there is a large variety of types of controlled vocabulary in data bases and often more than one in a single data base. Optimal use of these vocabularies requires understanding what types of languages are involved, and taking advantage of the particular mix of vocabularies in a given data base. Examples 4 major types of indexing and classification used in data bases and puts these 4 in the context of 3 other approaches to subject access. Discusses how to evaluate a new data base for various forms of subject access.

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Abstract

Optimal retrieval in on-line searching can be achieved through combined use of both natural language and controlled vocabularies. However, there is a large variety of types of controlled vocabulary in data bases and often more than one in a single data base. Optimal use of these vocabularies requires understanding what types of languages are involved, and taking advantage of the particular mix of vocabularies in a given data base. Examples 4 major types of indexing and classification used in data bases and puts these 4 in the context of 3 other approaches to subject access. Discusses how to evaluate a new data base for various forms of subject access.

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Date

14. 4.1997 20:22:55

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Date

22. 2.2007 18:56:23

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Abstract

Many definitions of information have been suggested throughout the history of information science. In this essay, the objective has been to provide a definition that is usable for the physical, biological and social meanings of the term, covering the various senses important to our field. Information has been defined as the pattern of organization of matter and energy. Information is everywhere except where there is total entropy. Living beings process, organize and ascribe meaning to information. Some pattern of organization that has been given meaning by a living being has been defined as information 2, while the above definition is information 1, when it is desirable to make the distinction. Knowledge has been defined as information given meaning and integrated with other contents of understanding. Meaning itself is rooted ultimately in biological survival. In the human being, extensive processing space in the brain has made possible the generation of extremely rich cultural and interpersonal meaning, which imbues human interactions. (In the short term, not all meaning that humans ascribe to information is the result of evolutionary processes. Our extensive brain processing space also enables us to hold beliefs for the short term that, over the long term, may actually be harmful to survival.) Data 1 has been defined as that portion of the entire information environment (including internal inputs) that is taken in, or processed, by an organism. Data 2 is that information that is selected or generated and used by human beings for research or other social purposes. This definition of information is not reductive--that is, it does not imply that information is all and only the most microscopic physical manifestation of matter and energy. Information principally exists for organisms at many emergent levels. A human being, for example, can see this account as tiny marks on a piece of paper, as letters of the alphabet, as words of the English language, as a sequence of ideas, as a genre of publication, as a philosophical position and so on. Thus, patterns of organization are not all equal in the life experience of animals. Some types of patterns are more important, some less so. Some parts of patterns are repetitive and can be compressed in mental storage. As mental storage space is generally limited and its maintenance costly to an animal, adaptive advantage accrues to the species that develops efficient storage. As a result, many species process elements of their environment in ways efficient and effective for their particular purposes; that is, as patterns of organization that are experienced as emergent wholes. We see a chair as a chair, not only as a pattern of light and dark. We see a string of actions by a salesperson as bait and switch, not just as a sequence of actions. We understand a series of statements as parts of a whole philosophical argument, not just as a series of sentences. The understanding of information embraced here recognizes and builds on the idea that these emergent wholes are efficient for storage and effective for the life purposes of human beings as successful animals (to date) on our planet. Thus, people experience their lives in terms of these emergent objects and relations, for the most part. Likewise, information is stored in retrieval systems in such a way that it can be represented to human beings in their preferred emergent forms, rather than in the pixels or bits in which the information is actually encoded within the information system.

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Abstract

Young undergraduate college students are often described as "digital natives," presumed to prefer living and working in completely digital information environments. In reality, their world is part-paper/part-digital, in constant transition among successive forms of digital storage and communication devices. Studying for a degree is the daily work of these young people, and effective management of paper and digital academic materials and resources contributes crucially to their success in life. Students must also constantly manage their work against deadlines to meet their course and university requirements. This study, following the "Personal Information Management" (PIM) paradigm, examines student academic information management under these various constraints and pressures. A total of 41 18- to 22-year-old students were interviewed and observed regarding the content, structure, and uses of their immediate working environment within their dormitory rooms. Students exhibited remarkable creativity and variety in the mixture of automated and manual resources and devices used to support their academic work. The demands of a yearlong procession of assignments, papers, projects, and examinations increase the importance of time management activities and influence much of their behavior. Results provide insights on student use of various kinds of information technology and their overall planning and management of information associated with their studies.

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Abstract

Throughout most of human history, people got the information they needed for their lives more or less automatically and unthinkingly--through people they talked with, and from their own life experiences. Today, we are inundated with information but often know little about how to find our way through the vast sea of recorded knowledge to get to what we really want and need. In the information sciences researchers have thought a great deal about information seeking, and have studied people in the grip of trying to satisfy an information need. Much has been learned about how to enable comfortable and fun information searching in human, paper, and digital environments. Professor Marcia Bates of UCLA's Department of Information Studies has collected fifteen of her major papers on information searching in theory and practice in this volume. The articles address many aspects of searching for information, including searching tactics and techniques, the "vocabulary problem" in online searching, the kinds of indexing terms to use in various contexts, the Bradford Distribution and its effects on searching in large databases, the true nature of browsing, and how to design computer interfaces for successful searching. For all the variety in types of information systems, the human being interacting with an information source is remarkably stable in psychology and behavior. These human traits and system features are explored in depth in this book. Bates' popular articles, "What is Browsing--Really?" and "The Design of Browsing and Berrypicking Techniques for the Online Search Interface," are included. This is Volume II of three containing selected works by Bates. The others are titled: Information and the Information Professions (Vol. I) and Information Users and Information System Design (Vol. III)