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  1. Abbas, J.: Structures for organizing knowledge : exploring taxonomies, ontologies, and other schemas (2010) 0.03 
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    Abstract
    LIS professionals use structures for organizing knowledge when they catalog and classify objects in the collection, when they develop databases, when they design customized taxonomies, or when they search online. Structures for Organizing Knowledge: Exploring Taxonomies, Ontologies, and Other Schema explores and explains this basic function by looking at three questions: 1) How do we organize objects so that they make sense and are useful? 2) What role do categories, classifications, taxonomies, and other structures play in the process of organizing? 3) What do information professionals need to know about organizing behaviors in order to design useful structures for organizing knowledge? Taking a broad, yet specialized approach that is a first in the field, this book answers those questions by examining three threads: traditional structures for organizing knowledge; personal structures for organizing knowledge; and socially-constructed structures for organizing knowledge. Through these threads, it offers avenues for expanding thinking on classification and classification schemes, taxonomy and ontology development, and structures. Both a history of the development of taxonomies and an analysis of current research, theories, and applications, this volume explores a wide array of topics, including the new digital, social aspect of taxonomy development. Examples of subjects covered include: Formal and informal structures Applications of knowledge structures Classification schemes Early taxonomists and their contributions Social networking, bookmarking, and cataloging sites Cataloging codes Standards and best practices Tags, tagging, and folksonomies Descriptive cataloging Metadata schema standards Thought exercises, references, and a list of helpful websites augment each section. A final chapter, "Thinking Ahead: Are We at a Crossroads?" uses "envisioning exercises" to help LIS professionals look into the future.
  2. Linde, F.; Stock, W.G.: Information markets : a strategic guideline for the i-commerce (2011) 0.01 
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    Footnote
    Rez. in : JASIST 63(2012) no.7, S.1477-1479 ( W. Peekhaus)
  3. Reichenberger, K.: Kompendium semantische Netze : Konzepte, Technologie, Modellierung (2010) 0.01 
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    Isbn
    978-3-642-04314-7
  4. Weller, K.: Knowledge representation in the Social Semantic Web (2010) 0.01 
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    Classification
    025.042/7
    DDC
    025.042/7
  5. Witten, I.H.; Bainbridge, M.; Nichols, D.M.: How to build a digital library (2010) 0.01 
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    Isbn
    978-0-12-374857-7
  6. Peters, I.: Folksonomies : indexing and retrieval in Web 2.0 (2009) 0.01 
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    Footnote
    Weitere Rez. in: Library review 59(2010) no.7, S.566-568 (G. Macgregor)
  7. Spitta, T.: Informationswirtschaft : eine Einführung (2006) 0.00 
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    Footnote
    Stattdessen präferiert er in erster Näherung A. Endres' Definition, die auch von vielen Wirtschaftsinformatikern - und auch von BID-Fachleuten - akzeptiert wird: "Information, so Spitta, sind interpretierbare, d.h. mit Bedeutung verknüpfte, meist neue Nachrichten, die von einem Empfänger für das Verfolgen seiner Ziele als nützlich gewertet werden." (S. 44, Hervor. i. Org.). Damit kann sich Spitta jedoch noch nicht begnügen, da er Bezug zur Informatik, insbesondere jedoch zur Wirtschaftsinformatik oder Informationswirtschaft herstellen muss. A. Endres definiert Information als ein Tripel I = (A*, S, K), "wobei A* (...) eine Menge von Wörtern (...) über einem Alphabet A, S eine Menge von Symbolen und K einen Kontext bedeutet" (S. 45) "Information", so Spitta, wäre dann "eine Nachricht über einem definierten Alphabet und anderen Symbolen, die für den Empfänger neu und relevant ist und deren Kontext er kennt." (S. 45) In der betrieblichen Praxis sind jedoch mehrere Akteure involviert, sodass es sinnvoll ist "Datenspeicher als Puffer für Nachrichten" (S. 46) einzuführen. Nun fehlt noch eine Definition von Wissen, um betriebliche Prozesse computergestützt abzubilden. "Wissen ist wegen seiner impliziten Bestandteile ebenso individualisiert wie Information. Explizites Wissen basiert auf Daten. Implizites Wissen kann explizit gemacht werden, wenn wir über einen allgemein verstehbaren Formalismus zur Beschreibung verfügen. Der Unterschied zur Information ist die Handlungskompetenz und die mehrfache Verwendbarkeit der zur Grunde liegenden Daten, die im Allgemeinen nur einmal (individuelle) Information sein können." (S. 50, Hervor. i. Orig.) Im Kapitel 5 stehen die "Inhalte betrieblicher Daten" im Mittelpunkt, wo es unter anderem um Grunddaten (wie Sachanlagen), Vorgangsdaten (wie aufzeichnungspflichtige Vorgänge) oder abgeleitete Daten (wie Führungsinformation) geht. Das 6. Kapitel "Die Struktur betrieblicher Daten" geht auf verschiedene Datenmodelle, wie das Relationsmodell, das grafische Objektmodell oder das Vorgehensmodell zur Datenmodellierung ein. Im 7. Kapitel geht es um "Anwendungssysteme", d.h. um betriebliche Informationssysteme und deren Strukturierungsmöglichkeiten.
  8. Widén-Wulff, G.: ¬The challenges of knowledge sharing in practice : a social approach (2007) 0.00 
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    Isbn
    1-84334-284-7 (pb)
  9. Web 2.0 in der Unternehmenspraxis : Grundlagen, Fallstudien und Trends zum Einsatz von Social-Software (2009) 0.00 
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    Isbn
    978-3-486-58579-7

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