Search (8 results, page 1 of 1)

  • × theme_ss:"Klassifikationssysteme im Online-Retrieval"
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  1. GERHARD : eine Spezialsuchmaschine für die Wissenschaft (1998) 0.09
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    Theme
    Klassifikationssysteme im Online-Retrieval
  2. Hasubick, J.; Wiesenmüller, H.: RVK-Registerbegriffe in der Katalogrecherche : Chancen und Grenzen (2022) 0.06
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    Abstract
    Die Registerbegriffe der Regensburger Verbundklassifikation (RVK) werden bisher in der Regel nur für die Suche nach passenden Systemstellen verwendet. Die vor einigen Jahren erfolgte Verknüpfung der RVK mit der Gemeinsamen Normdatei (GND) und die Aufbereitung der RVK als Normdatei lassen es jedoch denkbar erscheinen, die Registerbegriffe auch im Rahmen der Katalogrecherche zu nutzen - insbesondere für weiterführende und explorierende Recherchen im Anschluss an eine "known-item search". Der Aufsatz stellt die Ergebnisse einer Studie zu einer möglichen Einbindung von RVK-Registerbegriffen in die Katalogrecherche am Beispiel des K10plus vor. Dabei wurde für Notationsstichproben aus fünf Fachsystematiken sowohl der quantitative als auch der qualitative Mehrwert einer Recherche mit entsprechenden Registerbegriffen ermittelt. Es ergaben sich drei Kategorien von Notationen und ihren Registereinträgen: eindeutig geeignete, eindeutig nicht geeignete und ein großer Teil von Fällen, die nur nach umfassenden Vorarbeiten sinnvoll eingebunden werden könnten. Die herausgearbeiteten Fall-Cluster geben einen Überblick über die Chancen und Grenzen einer möglichen Einbindung der RVK-Registerbegriffe in die Katalogrecherche.
    Theme
    Klassifikationssysteme im Online-Retrieval
  3. Fagan, J.C.: Usability studies of faceted browsing : a literature review (2010) 0.05
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    Theme
    Klassifikationssysteme im Online-Retrieval
  4. Rocha, R.; Cobo, A.: Automatización de procesos de categorización jerárquica documental en las organizaciones (2010) 0.05
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    Theme
    Klassifikationssysteme im Online-Retrieval
  5. Gnoli, C.; Pusterla, L.; Bendiscioli, A.; Recinella, C.: Classification for collections mapping and query expansion (2016) 0.05
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    Theme
    Klassifikationssysteme im Online-Retrieval
    Semantisches Umfeld in Indexierung u. Retrieval
  6. Pika, J.: Universal Decimal Classification at the ETH-Bibliothek Zürich : a Swiss perspective (2007) 0.05
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    Theme
    Klassifikationssysteme im Online-Retrieval
  7. Schallier, W.: Why organize information if you can find it? : UDC and libraries in an Internet world (2007) 0.04
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    Abstract
    The Belgians Otlet and LaFontaine created the Universal Decimal Classification in order to collect and organize the world's knowledge. This happened in an age when information was almost exclusively made available by libraries. Since the internet, the quantity of information outside libraries is enormous and keeps growing every day. The internet is accessible to anybody, it is fundamentally unorganized and its content changes constantly. Collecting and organizing the world's knowledge seem to have become an impossible ambition. Perhaps it is even unnecessary, since search engines make information retrievable now. And why would we organize information if we can find it? So what will be the role of UDC and libraries in this internet environment? Libraries can still play a role as a major information provider, if they adapt fully to the expectations of a modern end user. The design and the functionalities of online catalogues should allow maximal accessibility, usability and active participation of the end user in the internet environment. Metadata, like UDC, should maximize the visibility of information, enrich it and invite the end user to assign metadata himself.
    Theme
    Klassifikationssysteme im Online-Retrieval
  8. Beagle, D.: Visualizing keyword distribution across multidisciplinary c-space (2003) 0.03
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    Abstract
    The concept of c-space is proposed as a visualization schema relating containers of content to cataloging surrogates and classification structures. Possible applications of keyword vector clusters within c-space could include improved retrieval rates through the use of captioning within visual hierarchies, tracings of semantic bleeding among subclasses, and access to buried knowledge within subject-neutral publication containers. The Scholastica Project is described as one example, following a tradition of research dating back to the 1980's. Preliminary focus group assessment indicates that this type of classification rendering may offer digital library searchers enriched entry strategies and an expanded range of re-entry vocabularies. Those of us who work in traditional libraries typically assume that our systems of classification: Library of Congress Classification (LCC) and Dewey Decimal Classification (DDC), are descriptive rather than prescriptive. In other words, LCC classes and subclasses approximate natural groupings of texts that reflect an underlying order of knowledge, rather than arbitrary categories prescribed by librarians to facilitate efficient shelving. Philosophical support for this assumption has traditionally been found in a number of places, from the archetypal tree of knowledge, to Aristotelian categories, to the concept of discursive formations proposed by Michel Foucault. Gary P. Radford has elegantly described an encounter with Foucault's discursive formations in the traditional library setting: "Just by looking at the titles on the spines, you can see how the books cluster together...You can identify those books that seem to form the heart of the discursive formation and those books that reside on the margins. Moving along the shelves, you see those books that tend to bleed over into other classifications and that straddle multiple discursive formations. You can physically and sensually experience...those points that feel like state borders or national boundaries, those points where one subject ends and another begins, or those magical places where one subject has morphed into another..."
    But what happens to this awareness in a digital library? Can discursive formations be represented in cyberspace, perhaps through diagrams in a visualization interface? And would such a schema be helpful to a digital library user? To approach this question, it is worth taking a moment to reconsider what Radford is looking at. First, he looks at titles to see how the books cluster. To illustrate, I scanned one hundred books on the shelves of a college library under subclass HT 101-395, defined by the LCC subclass caption as Urban groups. The City. Urban sociology. Of the first 100 titles in this sequence, fifty included the word "urban" or variants (e.g. "urbanization"). Another thirty-five used the word "city" or variants. These keywords appear to mark their titles as the heart of this discursive formation. The scattering of titles not using "urban" or "city" used related terms such as "town," "community," or in one case "skyscrapers." So we immediately see some empirical correlation between keywords and classification. But we also see a problem with the commonly used search technique of title-keyword. A student interested in urban studies will want to know about this entire subclass, and may wish to browse every title available therein. A title-keyword search on "urban" will retrieve only half of the titles, while a search on "city" will retrieve just over a third. There will be no overlap, since no titles in this sample contain both words. The only place where both words appear in a common string is in the LCC subclass caption, but captions are not typically indexed in library Online Public Access Catalogs (OPACs). In a traditional library, this problem is mitigated when the student goes to the shelf looking for any one of the books and suddenly discovers a much wider selection than the keyword search had led him to expect. But in a digital library, the issue of non-retrieval can be more problematic, as studies have indicated. Micco and Popp reported that, in a study funded partly by the U.S. Department of Education, 65 of 73 unskilled users searching for material on U.S./Soviet foreign relations found some material but never realized they had missed a large percentage of what was in the database.
    Theme
    Klassifikationssysteme im Online-Retrieval