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  • × classification_ss:"AN 96300"
  1. Theories of informetrics and scholarly communication : a Festschrift in honor of Blaise Cronin (2016) 0.01 
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    Content
    Frontmatter -- -- Foreword -- -- Prologue -- -- Contents -- -- Introduction -- -- Part I: Critical informetrics -- -- The Incessant Chattering of Texts -- -- Informetrics Needs a Foundation in the Theory of Science -- -- Part II: Citation theories -- -- Referencing as Cooperation or Competition -- -- Semiotics and Citations -- -- Data Citation as a Bibliometric Oxymoron -- -- Part III: Statistical theories -- -- TypeToken Theory and Bibliometrics -- -- From a Success Index to a Success Multiplier -- -- From Matthew to Hirsch: A Success-Breeds-Success Story -- -- Informations Magic Numbers: The Numerology of Information Science -- -- Part IV: Authorship theories -- -- Authors as Persons and Authors as Bundles of Words -- -- The Angle Sum Theory: Exploring the Literature on Acknowledgments in Scholarly Communication -- -- The Flesh of Science: Somatics and Semiotics -- -- Part V: Knowledge organization theories -- -- Informetric Analyses of Knowledge Organization Systems (KOSs) -- -- Information, Meaning, and Intellectual Organization in Networks of Inter-Human Communication -- -- Modeling the Structure and Dynamics of Science Using Books -- -- Part VI: Altmetric theories -- -- Webometrics and Altmetrics: Home Birth vs. Hospital Birth -- -- Scientific Revolution in Scientometrics: The Broadening of Impact from Citation to Societal -- -- Altmetrics as Traces of the Computerization of the Research Process -- -- Interpreting Altmetrics: Viewing Acts on Social Media through the Lens of Citation and Social Theories -- -- Biographical information for the editor and contributors -- -- Index
  2. Rousseau, R.; Egghe, L.; Guns, R.: Becoming metric-wise : a bibliometric guide for researchers (2018) 0.01 
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    Abstract
    Aims to inform researchers about metrics so that they become aware of the evaluative techniques being applied to their scientific output. Understanding these concepts will help them during their funding initiatives, and in hiring and tenure. The book not only describes what indicators do (or are designed to do, which is not always the same thing), but also gives precise mathematical formulae so that indicators can be properly understood and evaluated. Metrics have become a critical issue in science, with widespread international discussion taking place on the subject across scientific journals and organizations. As researchers should know the publication-citation context, the mathematical formulae of indicators being used by evaluating committees and their consequences, and how such indicators might be misused, this book provides an ideal tome on the topic. Provides researchers with a detailed understanding of bibliometric indicators and their applications. Empowers researchers looking to understand the indicators relevant to their work and careers. Presents an informed and rounded picture of bibliometrics, including the strengths and shortcomings of particular indicators. Supplies the mathematics behind bibliometric indicators so they can be properly understood. Written by authors with longstanding expertise who are considered global leaders in the field of bibliometrics
  3. Gingras, Y.: Bibliometrics and research evaluation : uses and abuses (2016) 0.01 
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    Abstract
    The research evaluation market is booming. "Ranking," "metrics," "h-index," and "impact factors" are reigning buzzwords. Government and research administrators want to evaluate everything -- teachers, professors, training programs, universities -- using quantitative indicators. Among the tools used to measure "research excellence," bibliometrics -- aggregate data on publications and citations -- has become dominant. Bibliometrics is hailed as an "objective" measure of research quality, a quantitative measure more useful than "subjective" and intuitive evaluation methods such as peer review that have been used since scientific papers were first published in the seventeenth century. In this book, Yves Gingras offers a spirited argument against an unquestioning reliance on bibliometrics as an indicator of research quality. Gingras shows that bibliometric rankings have no real scientific validity, rarely measuring what they pretend to. Although the study of publication and citation patterns, at the proper scales, can yield insights on the global dynamics of science over time, ill-defined quantitative indicators often generate perverse and unintended effects on the direction of research. Moreover, abuse of bibliometrics occurs when data is manipulated to boost rankings. Gingras looks at the politics of evaluation and argues that using numbers can be a way to control scientists and diminish their autonomy in the evaluation process. Proposing precise criteria for establishing the validity of indicators at a given scale of analysis, Gingras questions why universities are so eager to let invalid indicators influence their research strategy.
  4. Stuart, D.: Web metrics for library and information professionals (2014) 0.01 
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    Content
    1. Introduction. MetricsIndicators -- Web metrics and Ranganathan's laws of library science -- Web metrics for the library and information professional -- The aim of this book -- The structure of the rest of this book -- 2. Bibliometrics, webometrics and web metrics. Web metrics -- Information science metrics -- Web analytics -- Relational and evaluative metrics -- Evaluative web metrics -- Relational web metrics -- Validating the results -- 3. Data collection tools. The anatomy of a URL, web links and the structure of the web -- Search engines 1.0 -- Web crawlers -- Search engines 2.0 -- Post search engine 2.0: fragmentation -- 4. Evaluating impact on the web. Websites -- Blogs -- Wikis -- Internal metrics -- External metrics -- A systematic approach to content analysis -- 5. Evaluating social media impact. Aspects of social network sites -- Typology of social network sites -- Research and tools for specific sites and services -- Other social network sites -- URL shorteners: web analytic links on any site -- General social media impact -- Sentiment analysis -- 6. Investigating relationships between actors. Social network analysis methods -- Sources for relational network analysis -- 7. Exploring traditional publications in a new environment. More bibliographic items -- Full text analysis -- Greater context -- 8. Web metrics and the web of data. The web of data -- Building the semantic web -- Implications of the web of data for web metrics -- Investigating the web of data today -- SPARQL -- Sindice -- LDSpider: an RDF web crawler -- 9. The future of web metrics and the library and information professional. How far we have come -- The future of web metrics -- The future of the library and information professional and web metrics.
  5. Maßun, M.: Collaborative information management in enterprises (2009) 0.01 
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    Abstract
    Für Mitarbeiter in Unternehmen gestaltet sich der effiziente Umgang mit einer ständig wachsenden Menge elektronisch verfügbarer Informationen schwierig. Die wesentlichen Herausforderungen aus Anwendersicht sind die Fragmentierung von Informationen, die starren Strukturierungsmöglichkeiten in Datenspeichern und die Isolierung von Wissensarbeit. Das anwenderorientierte System TagIt verbindet aktuelle Ansätze aus dem Persönlichen Informationsmanagement (PIM) und Collaborative Tagging. Die Fragmentierung wid durch Unifizierung von Informationen auf Metadaten- und Zugriffsebene überwunden. Starre Strukturen werden durch freie, multiple Strukturen ersetzt
  6. Hermans, J.: Ontologiebasiertes Information Retrieval für das Wissensmanagement (2008) 0.00 
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    Abstract
    Unternehmen sehen sich heutzutage regelmäßig der Herausforderung gegenübergestellt, aus umfangreichen Mengen an Dokumenten schnell relevante Informationen zu identifizieren. Dabei zeigt sich jedoch, dass Suchverfahren, die lediglich syntaktische Abgleiche von Informationsbedarfen mit potenziell relevanten Dokumenten durchführen, häufig nicht die an sie gestellten Erwartungen erfüllen. Viel versprechendes Potenzial bietet hier der Einsatz von Ontologien für das Information Retrieval. Beim ontologiebasierten Information Retrieval werden Ontologien eingesetzt, um Wissen in einer Form abzubilden, die durch Informationssysteme verarbeitet werden kann. Eine Berücksichtigung des so explizierten Wissens durch Suchalgorithmen führt dann zu einer optimierten Deckung von Informationsbedarfen. Jan Hermans stellt in seinem Buch ein adaptives Referenzmodell für die Entwicklung von ontologiebasierten Information Retrieval-Systemen vor. Zentrales Element seines Modells ist die einsatzkontextspezifische Adaption des Retrievalprozesses durch bewährte Techniken, die ausgewählte Aspekte des ontologiebasierten Information Retrievals bereits effektiv und effizient unterstützen. Die Anwendung des Referenzmodells wird anhand eines Fallbeispiels illustriert, bei dem ein Information Retrieval-System für die Suche nach Open Source-Komponenten entwickelt wird. Das Buch richtet sich gleichermaßen an Dozenten und Studierende der Wirtschaftsinformatik, Informatik und Betriebswirtschaftslehre sowie an Praktiker, die die Informationssuche im Unternehmen verbessern möchten. Jan Hermans, Jahrgang 1978, studierte Wirtschaftsinformatik an der Westfälischen Wilhelms-Universität in Münster. Seit 2003 war er als Wissenschaftlicher Mitarbeiter am European Research Center for Information Systems der WWU Münster tätig. Seine Forschungsschwerpunkte lagen in den Bereichen Wissensmanagement und Information Retrieval. Im Mai 2008 erfolgte seine Promotion zum Doktor der Wirtschaftswissenschaften.
  7. Beyond bibliometrics : harnessing multidimensional indicators of scholarly intent (2014) 0.00 
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    Date
    14. 6.2016 13:29:14

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