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Stock, W.G.: Natürlichsprachige Suche - more like this! : Lexis-Nexis' Freestyle (1998)
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Stock, W.G.: Gefordert: neue Produkt-, Preis- und Distributionspolitik : Marketing der OnlineArchive ('Hosts') (1999)
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Stock, W.G.: Wissensrepräsentation (2014)
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Stock, W.G.: Textwortmethode (2000)
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Stock, M.; Stock, W.G.: Literaturnachweis- und Terminologiedatenbank : die Erfassung von Fachliteratur und Fachterminologie eines Fachgebiets in einer kombinierten Datenbank (1991)
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Stock, W.G.: Concepts and semantic relations in information science (2010)
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- Abstract
- Concept-based information retrieval and knowledge representation are in need of a theory of concepts and semantic relations. Guidelines for the construction and maintenance of knowledge organization systems (KOS) (such as ANSI/NISO Z39.19-2005 in the U.S.A. or DIN 2331:1980 in Germany) do not consider results of concept theory and theory of relations to the full extent. They are not able to unify the currently different worlds of traditional controlled vocabularies, of the social web (tagging and folksonomies) and of the semantic web (ontologies). Concept definitions as well as semantic relations are based on epistemological theories (empiricism, rationalism, hermeneutics, pragmatism, and critical theory). A concept is determined via its intension and extension as well as by definition. We will meet the problem of vagueness by introducing prototypes. Some important definitions are concept explanations (after Aristotle) and the definition of family resemblances (in the sense of Wittgenstein). We will model concepts as frames (according to Barsalou). The most important paradigmatic relation in KOS is hierarchy, which must be arranged into different classes: Hyponymy consists of taxonomy and simple hyponymy, meronymy consists of many different part-whole-relations. For practical application purposes, the transitivity of the given relation is very important. Unspecific associative relations are of little help to our focused applications and should be replaced by generalizable and domain-specific relations. We will discuss the reflexivity, symmetry, and transitivity of paradigmatic relations as well as the appearance of specific semantic relations in the different kinds of KOS (folksonomies, nomenclatures, classification systems, thesauri, and ontologies). Finally, we will pick out KOS as a central theme of the Semantic Web.
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Knautz, K.; Stock, W.G.: Collective indexing of emotions in videos (2011)
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- Abstract
- Purpose - The object of this empirical research study is emotion, as depicted and aroused in videos. This paper seeks to answer the questions: Are users able to index such emotions consistently? Are the users' votes usable for emotional video retrieval? Design/methodology/approach - The authors worked with a controlled vocabulary for nine basic emotions (love, happiness, fun, surprise, desire, sadness, anger, disgust and fear), a slide control for adjusting the emotions' intensity, and the approach of broad folksonomies. Different users tagged the same videos. The test persons had the task of indexing the emotions of 20 videos (reprocessed clips from YouTube). The authors distinguished between emotions which were depicted in the video and those that were evoked in the user. Data were received from 776 participants and a total of 279,360 slide control values were analyzed. Findings - The consistency of the users' votes is very high; the tag distributions for the particular videos' emotions are stable. The final shape of the distributions will be reached by the tagging activities of only very few users (less than 100). By applying the approach of power tags it is possible to separate the pivotal emotions of every document - if indeed there is any feeling at all. Originality/value - This paper is one of the first steps in the new research area of emotional information retrieval (EmIR). To the authors' knowledge, it is the first research project into the collective indexing of emotions in videos.
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Stock, W.G.; Weber, S.: Facets of informetrics : Preface (2006)
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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.
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Stock, W.G.: Elektronische Informationsdienstleistungen und ihre Bedeutung für Wirtschaft und Wissenschaft (1995)
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- Classification
- QR 760 Wirtschaftswissenschaften / Gewerbepolitik. Einzelne Wirtschaftszweige / Industrie, Bergbau, Handel, Dienstleistungen, Handwerk / Öffentliche Versorgungseinrichtungen. Elektrizität. Gas. Wasser / Informationsgewerbe (Massenmedien). Post / Neue Medien. Online-Dienste (Internet u. a.)
Wir A 70 Information
Pub A 91 / Information
- RVK
- QR 760 Wirtschaftswissenschaften / Gewerbepolitik. Einzelne Wirtschaftszweige / Industrie, Bergbau, Handel, Dienstleistungen, Handwerk / Öffentliche Versorgungseinrichtungen. Elektrizität. Gas. Wasser / Informationsgewerbe (Massenmedien). Post / Neue Medien. Online-Dienste (Internet u. a.)
- SBB
- Wir A 70 Information
Pub A 91 / Information
-
Stock, M.; Stock, W.G.: Intellectual property information : A comparative analysis of main information providers (2006)
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Peters, I.; Stock, W.G.: Folksonomies in Wissensrepräsentation und Information Retrieval (2008)
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- Abstract
- Die populären Web 2.0-Dienste werden von Prosumern - Produzenten und gleichsam Konsumenten - nicht nur dazu genutzt, Inhalte zu produzieren, sondern auch, um sie inhaltlich zu erschließen. Folksonomies erlauben es dem Nutzer, Dokumente mit eigenen Schlagworten, sog. Tags, zu beschreiben, ohne dabei auf gewisse Regeln oder Vorgaben achten zu müssen. Neben einigen Vorteilen zeigen Folksonomies aber auch zahlreiche Schwächen (u. a. einen Mangel an Präzision). Um diesen Nachteilen größtenteils entgegenzuwirken, schlagen wir eine Interpretation der Tags als natürlichsprachige Wörter vor. Dadurch ist es uns möglich, Methoden des Natural Language Processing (NLP) auf die Tags anzuwenden und so linguistische Probleme der Tags zu beseitigen. Darüber hinaus diskutieren wir Ansätze und weitere Vorschläge (Tagverteilungen, Kollaboration und akteurspezifische Aspekte) hinsichtlich eines Relevance Rankings von getaggten Dokumenten. Neben Vorschlägen auf ähnliche Dokumente ("more like this!") erlauben Folksonomies auch Hinweise auf verwandte Nutzer und damit auf Communities ("more like me!").
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Stock, W.G.: Textwortmethode : Norbert Henrichs zum 65. (3) (2000)
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Stock, M.; Stock, W.G.: Klassifikation und terminologische Kontrolle : Yahoo!, Open Directory und Oingo im Vergleich (2000)
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Stock, M.; Stock, W.G.: Internet-Suchwerkzeuge im Vergleich (III) : Informationslinguistik und -statistik: AltaVista, FAST und Northern Light (2001)
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Stock, W.G.; Röttger, M.: ¬Die mittlere Güte von Navigationssystemen : Ein Kennwert für komparative Analysen von Websites bei Usability-Nutzertests (2003)
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Stock, M.; Stock, W.G.: Online-Hosts für Wissenschaft, Technik und Medizin auf dem deutschen Informationsmarkt : Eine komparative Analyse (2005)
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Stock, M.; Stock, W.G.: LexisNexis Recht und LexisNexis Wirtschaft : Informationsprodukte für den deutschen Markt (2005)
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Stock, W.G.: On relevance distributions (2006)
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Stock, W.G.: Informationswissenschaft interdisziplinär (2012)
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Stock, W.G.: Norbert Henrichs (1935-2016) : Pionier der Informationswissenschaft in Deutschland (2016)
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