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  • × classification_ss:"PZY (DU)"
  1. Maass, W.: Elektronische Wissensmärkte : Handel von Information und Wissen über digitale Netze (2010) 0.07
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    Abstract
    Wissen ist die zentrale Ressource von Unternehmen, welche Mitarbeiter benötigen, um innovative Produkte und Dienstleistungen entwickeln zu können. Dokumentiertes Wissen, wie Patente, Strategiemodelle, Best Practices oder Benchmark-Beschreibungen, lässt sich effizient in digitaler Form speichern und über digitale Netze austauschen. Derartige Wissenswerte können so innerhalb und zwischen Unternehmen über elektronische Märkte gehandelt werden. Wolfgang Maass entwickelt das Konzept eines digitalen Wissensgutes, integriert es in ein Referenzmodell für elektronische Wissensmärkte und stellt technische Umsetzungsmöglichkeiten vor.
    Content
    Inhalt: Elektronische Wissensmärkte; Digitale Wissensgüter ; Infrastrukturen: rollenbasierte Medienorganisation, Rechtemanagement, Middleware-Systeme, Vernetzung elektronischer Wissensmärkte
    RSWK
    Digitale Daten / Wissen / Electronic Commerce
    Subject
    Digitale Daten / Wissen / Electronic Commerce
  2. Stuckenschmidt, H.; Harmelen, F. van: Information sharing on the semantic web (2005) 0.00
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    Classification
    ST 515 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Wirtschaftsinformatik / Wissensmanagement, Information engineering
    LCSH
    Ontologies (Information retrieval)
    RSWK
    Semantic Web / Ontologie <Wissensverarbeitung> / Information Retrieval / Verteilung / Metadaten / Datenintegration
    RVK
    ST 515 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Wirtschaftsinformatik / Wissensmanagement, Information engineering
    Series
    Advanced information and knowledge processing
    Subject
    Semantic Web / Ontologie <Wissensverarbeitung> / Information Retrieval / Verteilung / Metadaten / Datenintegration
    Ontologies (Information retrieval)
  3. Maßun, M.: Collaborative information management in enterprises (2009) 0.00
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    BK
    85.20 / Betriebliche Information und Kommunikation
    Classification
    85.20 / Betriebliche Information und Kommunikation
    Theme
    Information Resources Management
  4. Dalkir, K.: Knowledge management in theory and practice (2017) 0.00
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    Abstract
    A new, thoroughly updated edition of a comprehensive overview of knowledge management (KM), covering theoretical foundations, the KM process, tools, and professions. The ability to manage knowledge has become increasingly important in today's knowledge economy. Knowledge is considered a valuable commodity, embedded in products and in the tacit knowledge of highly mobile individual employees. Knowledge management (KM) represents a deliberate and systematic approach to cultivating and sharing an organization's knowledge base. This textbook and professional reference offers a comprehensive overview of the field. Drawing on ideas, tools, and techniques from such disciplines as sociology, cognitive science, organizational behavior, and information science, it describes KM theory and practice at the individual, community, and organizational levels. Chapters cover such topics as tacit and explicit knowledge, theoretical modeling of KM, the KM cycle from knowledge capture to knowledge use, KM tools, KM assessment, and KM professionals.
    BK
    85.20 (Betriebliche Information und Kommunikation)
    Classification
    85.20 (Betriebliche Information und Kommunikation)
    Series
    Business / Information Science
  5. Information visualization in data mining and knowledge discovery (2002) 0.00
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    Footnote
    Rez. in: JASIST 54(2003) no.9, S.905-906 (C.A. Badurek): "Visual approaches for knowledge discovery in very large databases are a prime research need for information scientists focused an extracting meaningful information from the ever growing stores of data from a variety of domains, including business, the geosciences, and satellite and medical imagery. This work presents a summary of research efforts in the fields of data mining, knowledge discovery, and data visualization with the goal of aiding the integration of research approaches and techniques from these major fields. The editors, leading computer scientists from academia and industry, present a collection of 32 papers from contributors who are incorporating visualization and data mining techniques through academic research as well application development in industry and government agencies. Information Visualization focuses upon techniques to enhance the natural abilities of humans to visually understand data, in particular, large-scale data sets. It is primarily concerned with developing interactive graphical representations to enable users to more intuitively make sense of multidimensional data as part of the data exploration process. It includes research from computer science, psychology, human-computer interaction, statistics, and information science. Knowledge Discovery in Databases (KDD) most often refers to the process of mining databases for previously unknown patterns and trends in data. Data mining refers to the particular computational methods or algorithms used in this process. The data mining research field is most related to computational advances in database theory, artificial intelligence and machine learning. This work compiles research summaries from these main research areas in order to provide "a reference work containing the collection of thoughts and ideas of noted researchers from the fields of data mining and data visualization" (p. 8). It addresses these areas in three main sections: the first an data visualization, the second an KDD and model visualization, and the last an using visualization in the knowledge discovery process. The seven chapters of Part One focus upon methodologies and successful techniques from the field of Data Visualization. Hoffman and Grinstein (Chapter 2) give a particularly good overview of the field of data visualization and its potential application to data mining. An introduction to the terminology of data visualization, relation to perceptual and cognitive science, and discussion of the major visualization display techniques are presented. Discussion and illustration explain the usefulness and proper context of such data visualization techniques as scatter plots, 2D and 3D isosurfaces, glyphs, parallel coordinates, and radial coordinate visualizations. Remaining chapters present the need for standardization of visualization methods, discussion of user requirements in the development of tools, and examples of using information visualization in addressing research problems.
    With contributors almost exclusively from the computer science field, the intended audience of this work is heavily slanted towards a computer science perspective. However, it is highly readable and provides introductory material that would be useful to information scientists from a variety of domains. Yet, much interesting work in information visualization from other fields could have been included giving the work more of an interdisciplinary perspective to complement their goals of integrating work in this area. Unfortunately, many of the application chapters are these, shallow, and lack complementary illustrations of visualization techniques or user interfaces used. However, they do provide insight into the many applications being developed in this rapidly expanding field. The authors have successfully put together a highly useful reference text for the data mining and information visualization communities. Those interested in a good introduction and overview of complementary research areas in these fields will be satisfied with this collection of papers. The focus upon integrating data visualization with data mining complements texts in each of these fields, such as Advances in Knowledge Discovery and Data Mining (Fayyad et al., MIT Press) and Readings in Information Visualization: Using Vision to Think (Card et. al., Morgan Kauffman). This unique work is a good starting point for future interaction between researchers in the fields of data visualization and data mining and makes a good accompaniment for a course focused an integrating these areas or to the main reference texts in these fields."
    LCSH
    Information visualization
    RSWK
    Information Retrieval (BVB)
    Subject
    Information Retrieval (BVB)
    Information visualization
  6. Wissen - Innovation - Netzwerke : Wege zur Zukunftsfähigkeit (2003) 0.00
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    Theme
    Information Resources Management
  7. Knowledge management : best practices in Europe (2001) 0.00
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    Theme
    Information Resources Management
  8. Mühlbacher, S.: Information literacy in enterprises (2009) 0.00
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