Search (82 results, page 2 of 5)

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Abstract

Die "Bedeutung" der Daten schlägt sich darin nieder, wie sie verarbeitet werden oder überhaupt nur verarbeitet werden dürfen. Dieser semantische Aspekt steckt vorwiegend in den Verarbeitungsprogrammen. In mancherlei Situationen ist es jedoch sinnvoll, wenigstens einen Teil davon in die Datenbank zu übernehmen. Hierfür gibt es vielfältige Methoden mit recht unterschiedlichen Voraussetzungen, Auswirkungen und Leistungen ...

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Abstract

The preservation of digital objects (defined here as objects in digital form that require a computer to support their existence and display) is obviously an important practical issue for the information professions, with its importance growing daily as more information objects are produced in, or converted to, digital form. Yakel's (2001) review of the field provided a much-needed introduction. At the same time, the complexity of new digital objects continues to increase, challenging existing preservation efforts (Lee, Skattery, Lu, Tang, & McCrary, 2002). The field of information science itself is beginning to pay some reflexive attention to the creation of fragile and unpreservable digital objects. But these concerns focus often an the practical problems of short-term repurposing of digital objects rather than actual preservation, by which I mean the activity of carrying digital objects from one software generation to another, undertaken for purposes beyond the original reasons for creating the objects. For preservation in this sense to be possible, information science as a discipline needs to be active in the formulation of, and advocacy for, national information policies. Such policies will need to challenge the predominant cultural expectation of planned obsolescence for information resources, and cultural artifacts in general.

Date

23.10.2005 18:29:46

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Date

23. 1.1999 20:06:38

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Source

Reference services review. 23(1995) no.4, S.83-86

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Footnote

Bibliography presented at the 36th Allerton Institute, 23-25 Oct 94, Allerton Park, Monticello, IL: "New Roles for Classification in Libraries and Information Networks: Presentation and Reports"

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Date

13. 2.1997 17:57:23

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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

Videogames are important cultural and economic artifacts. They also present challenges that anticipate the problems inherent in any complex digital interactive system. Not only are they digital and hence very difficult to preserve but they also are software systems that have significant hardware, peripheral, and network dependencies, which are difficult to collect and formally represent. This article reviews the literature related to videogame preservation. In addition to covering the traditional technology-related issues inherent in all digital preservation endeavors, this review also attempts to describe the complexities and relationships between the traditional acts of technology preservation, representation, and collection development. Future work should include the identification of important user groups, an examination of games' context of use, and the development of representational models to describe interaction of players with the game and the interactions between players playing the game.

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Source

Journal of documentation. 12(1956), S.227-230

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Source

DFW: Dokumentation Information. 27 (1979), S.25-29

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Date

10. 9.2000 17:38:22

Theme

Katalogfragen allgemein

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Date

10. 9.2000 17:38:22

Theme

Katalogfragen allgemein

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Source

Annual review of information science and technology. 38(2004), S.189-230

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Date

18. 5.2006 20:06:22

Theme

Konzeption und Anwendung des Prinzips Thesaurus

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Abstract

GAIS computer science bibliographies search is a WWW service providing a searchable interface on bibliographies related to computer science. It holds about 400.000 references, mirrored from the Informatics for Engineering and Science Department of the University of Karlsruhe, and allows full text searching through the search engine GAIS (Global Area Intelligent Search). Discusses its design and architecture

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Date

13. 7.2008 9:29:38

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Date

13. 7.2008 19:29:59

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Source

International forum on information and documentation. 16(1991) no.2, S.18-29

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Date

20. 4.2000 18:48:29

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Abstract

Natural Language Processing (NLP) is an area of research and application that explores how computers can be used to understand and manipulate natural language text or speech to do useful things. NLP researchers aim to gather knowledge an how human beings understand and use language so that appropriate tools and techniques can be developed to make computer systems understand and manipulate natural languages to perform desired tasks. The foundations of NLP lie in a number of disciplines, namely, computer and information sciences, linguistics, mathematics, electrical and electronic engineering, artificial intelligence and robotics, and psychology. Applications of NLP include a number of fields of study, such as machine translation, natural language text processing and summarization, user interfaces, multilingual and cross-language information retrieval (CLIR), speech recognition, artificial intelligence, and expert systems. One important application area that is relatively new and has not been covered in previous ARIST chapters an NLP relates to the proliferation of the World Wide Web and digital libraries.