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  • × author_ss:"Stock, W.G."
  1. Stock, W.G.: Wissenschaftsinformatik : Fundierung, Gegenstand und Methoden (1980) 0.02 
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    Ratio. 22(1980), S.155-164
  2. Stock, W.G.: Informationsmangel trotz Überfluß : Informationsgesellschaft verlangt neue Berufe und Berufsbilder (1995) 0.02 
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    Insider. 1995, Nr.4, Juli, S.19-22
  3. Stock, M.; Stock, W.G.: Recherchieren im Internet (2004) 0.02 
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    Date
    27.11.2005 18:04:22
  4. Peters, I.; Stock, W.G.: Power tags in information retrieval (2010) 0.02 
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    Abstract
    Purpose - Many Web 2.0 services (including Library 2.0 catalogs) make use of folksonomies. The purpose of this paper is to cut off all tags in the long tail of a document-specific tag distribution. The remaining tags at the beginning of a tag distribution are considered power tags and form a new, additional search option in information retrieval systems. Design/methodology/approach - In a theoretical approach the paper discusses document-specific tag distributions (power law and inverse-logistic shape), the development of such distributions (Yule-Simon process and shuffling theory) and introduces search tags (besides the well-known index tags) as a possibility for generating tag distributions. Findings - Search tags are compatible with broad and narrow folksonomies and with all knowledge organization systems (e.g. classification systems and thesauri), while index tags are only applicable in broad folksonomies. Based on these findings, the paper presents a sketch of an algorithm for mining and processing power tags in information retrieval systems. Research limitations/implications - This conceptual approach is in need of empirical evaluation in a concrete retrieval system. Practical implications - Power tags are a new search option for retrieval systems to limit the amount of hits. Originality/value - The paper introduces power tags as a means for enhancing the precision of search results in information retrieval systems that apply folksonomies, e.g. catalogs in Library 2.0environments.
  5. Garfield, E.; Paris, S.W.; Stock, W.G.: HistCite(TM) : a software tool for informetric analysis of citation linkage (2006) 0.02 
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    Abstract
    HistCite(TM) is a software tool for analyzing and visualizing direct citation linkages between scientific papers. Its inputs are bibliographic records (with cited references) from "Web of Knowledge" or other sources. Its outputs are various tables and graphs with informetric indicators about the knowledge domain under study. As an example we analyze informetrically the literature about Alexius Meinong, an Austrian philosopher and psychologist. The article shortly discusses the informetric functionality of "Web of Knowledge" and shows broadly the possibilities that HistCite offers to its users (e.g. scientists, scientometricans and science journalists).
  6. Stock, W.G.: Endnutzersystem für internationale Geschäftsinformationen (1998) 0.02 
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    Source
    Password. 1998, H.10, S.22-28
  7. Stock, M.; Stock, W.G.: Intellectual property information : A comparative analysis of main information providers (2006) 0.02 
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    Abstract
    After modeling expert user needs with regard to intellectual property information, we analyze and compare the main providers in this specific information area (Thomson DIALOG, Esp@cenet by the European Patent Office, Questel-Orbit, and STN International) in terms of system content and system functionality. The key question is whether the main providers are able to satisfy these expert user needs. For patent information, some special retrieval features such as chemical structure search (including Markush search), patent family references and citations search, biosequence search, and basic informetric functionality such as ranking, mapping, and visualization of information flows are realized. Considering the results of information science research, the practice of patent information shows unexhausted improvement opportunities (e.g., the application of bibliographic patent coupling and co-patent-citation for mapping patents, patent assignees, and technology specialties). For trademark search, users need multiple truncated search (realized) as well as phonetic search and image retrieval (not realized yet).
  8. 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
  9. 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.
  10. 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
  11. 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
  12. Stock, W.G.: Qualitätskriterien von Suchmaschinen : Checkliste für Retrievalsysteme (2000) 0.01 
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    Source
    Password. 2000, H.5, S.22-31
  13. 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
  14. Stock, W.G.: Informational cities : analysis and construction of cities in the knowledge society (2011) 0.01 
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    Date
    3. 7.2011 19:22:49

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