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  • × author_ss:"Stock, W.G."
  1. Stock, W.G.: Informational cities : analysis and construction of cities in the knowledge society (2011) 0.03
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    Abstract
    Informational cities are prototypical cities of the knowledge society. If they are informational world cities, they are new centers of power. According to Manuel Castells (1989), in those cities space of flows (flows of money, power, and information) tend to override space of places. Information and communication technology infrastructures, cognitive infrastructures (as groundwork of knowledge cities and creative cities), and city-level knowledge management are of great importance. Digital libraries provide access to the global explicit knowledge. The informational city consists of creative clusters and spaces for personal contacts to stimulate sharing of implicit information. In such cities, we can observe job polarization in favor of well-trained employees. The corporate structure of informational cities is made up of financial services, knowledge-intensive high-tech industrial enterprises, companies of the information economy, and further creative and knowledge-intensive service enterprises. Weak location factors are facilities for culture, recreational activities, and consumption. Political willingness to create an informational city and e-governance activities are crucial aspects for the development of such cities. This conceptual article frames indicators which are able to mark the degree of "informativeness" of a city. Finally, based upon findings of network economy, we try to explain why certain cities master the transition to informational cities and others (lagging to relative insignificance) do not. The article connects findings of information science and of urbanistics and urban planning.
    Date
    3. 7.2011 19:22:49
  2. Stock, W.G.: Wissenschaftsinformatik : Fundierung, Gegenstand und Methoden (1980) 0.03
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    Source
    Ratio. 22(1980), S.155-164
  3. Stock, W.G.: Informationsmangel trotz Überfluß : Informationsgesellschaft verlangt neue Berufe und Berufsbilder (1995) 0.03
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    Source
    Insider. 1995, Nr.4, Juli, S.19-22
  4. Stock, M.; Stock, W.G.: Recherchieren im Internet (2004) 0.03
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    Date
    27.11.2005 18:04:22
  5. Stock, W.G.: Endnutzersystem für internationale Geschäftsinformationen (1998) 0.02
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    Source
    Password. 1998, H.10, S.22-28
  6. Garfield, E.; Stock, W.G.: Citation Consciousness : Interview with Eugene Garfiels, chairman emeritus of ISI; Philadelphia (2002) 0.02
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    Source
    Password. 2002, H.6, S.22-25
  7. Linde, F.; Stock, W.G.: Informationsmarkt : Informationen im I-Commerce anbieten und nachfragen (2011) 0.01
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    Date
    23. 9.2010 11:15:22
  8. Schumann, L.; Stock, W.G.: ¬Ein umfassendes ganzheitliches Modell für Evaluation und Akzeptanzanalysen von Informationsdiensten : Das Information Service Evaluation (ISE) Modell (2014) 0.01
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    Date
    22. 9.2014 18:56:46
  9. Stock, W.G.: Qualitätskriterien von Suchmaschinen : Checkliste für Retrievalsysteme (2000) 0.01
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    Source
    Password. 2000, H.5, S.22-31
  10. Stock, W.G.: Hochschulmanagement, Information Appliances, Fairness als Grundsatz : Information und Mobilität (2002) 0.01
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    Date
    22. 2.2003 19:39:36
  11. Stock, W.G.; Stock, M.: Handbook of information science : a comprehensive handbook (2013) 0.01
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    Abstract
    Dealing with information is one of the vital skills in the 21st century. It takes a fair degree of information savvy to create, represent and supply information as well as to search for and retrieve relevant knowledge. How does information (documents, pieces of knowledge) have to be organized in order to be retrievable? What role does metadata play? What are search engines on the Web, or in corporate intranets, and how do they work? How must one deal with natural language processing and tools of knowledge organization, such as thesauri, classification systems, and ontologies? How useful is social tagging? How valuable are intellectually created abstracts and automatically prepared extracts? Which empirical methods allow for user research and which for the evaluation of information systems? This Handbook is a basic work of information science, providing a comprehensive overview of the current state of information retrieval and knowledge representation. It addresses readers from all professions and scientific disciplines, but particularly scholars, practitioners and students of Information Science, Library Science, Computer Science, Information Management, and Knowledge Management. This Handbook is a suitable reference work for Public and Academic Libraries.
  12. Stock, W.G.; Weber, S.: Facets of informetrics : Preface (2006) 0.01
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    Abstract
    According to Jean M. Tague-Sutcliffe "informetrics" is "the study of the quantitative aspects of information in any form, not just records or bibliographies, and in any social group, not just scientists" (Tague-Sutcliffe, 1992, 1). Leo Egghe also defines "informetrics" in a very broad sense. "(W)e will use the term' informetrics' as the broad term comprising all-metrics studies related to information science, including bibliometrics (bibliographies, libraries,...), scientometrics (science policy, citation analysis, research evaluation,...), webometrics (metrics of the web, the Internet or other social networks such as citation or collaboration networks), ..." (Egghe, 2005b,1311). According to Concepcion S. Wilson "informetrics" is "the quantitative study of collections of moderatesized units of potentially informative text, directed to the scientific understanding of information processes at the social level" (Wilson, 1999, 211). We should add to Wilson's units of text also digital collections of images, videos, spoken documents and music. Dietmar Wolfram divides "informetrics" into two aspects, "system-based characteristics that arise from the documentary content of IR systems and how they are indexed, and usage-based characteristics that arise how users interact with system content and the system interfaces that provide access to the content" (Wolfram, 2003, 6). We would like to follow Tague-Sutcliffe, Egghe, Wilson and Wolfram (and others, for example Björneborn & Ingwersen, 2004) and call this broad research of empirical information science "informetrics". Informetrics includes therefore all quantitative studies in information science. If a scientist performs scientific investigations empirically, e.g. on information users' behavior, on scientific impact of academic journals, on the development of the patent application activity of a company, on links of Web pages, on the temporal distribution of blog postings discussing a given topic, on availability, recall and precision of retrieval systems, on usability of Web sites, and so on, he or she contributes to informetrics. We see three subject areas in information science in which such quantitative research takes place, - information users and information usage, - evaluation of information systems, - information itself, Following Wolfram's article, we divide his system-based characteristics into the "information itself "-category and the "information system"-category. Figure 1 is a simplistic graph of subjects and research areas of informetrics as an empirical information science.