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  • × theme_ss:"Social tagging"
  1. Hunter, J.: Collaborative semantic tagging and annotation systems (2009) 0.02 
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    Type
    a
  2. Qin, C.; Liu, Y.; Mou, J.; Chen, J.: User adoption of a hybrid social tagging approach in an online knowledge community (2019) 0.02 
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    Abstract
    Purpose Online knowledge communities make great contributions to global knowledge sharing and innovation. Resource tagging approaches have been widely adopted in such communities to describe, annotate and organize knowledge resources mainly through users' participation. However, it is unclear what causes the adoption of a particular resource tagging approach. The purpose of this paper is to identify factors that drive users to use a hybrid social tagging approach. Design/methodology/approach Technology acceptance model and social cognitive theory are adopted to support an integrated model proposed in this paper. Zhihu, one of the most popular online knowledge communities in China, is taken as the survey context. A survey was conducted with a questionnaire and collected data were analyzed through structural equation model. Findings A new hybrid social resource tagging approach was refined and described. The empirical results revealed that self-efficacy, perceived usefulness (PU) and perceived ease of use exert positive effect on users' attitude. Moreover, social influence, PU and attitude impact significantly on users' intention to use a hybrid social resource tagging approach. Originality/value Theoretically, this study enriches the type of resource tagging approaches and recognizes factors influencing user adoption to use it. Regarding the practical parts, the results provide online information system providers and designers with referential strategies to improve the performance of the current tagging approaches and promote them.
    Date
    20. 1.2015 18:30:22
    Type
    a
  3. Simon, J.: Interdisciplinary knowledge creation : using wikis in science (2006) 0.02 
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    Abstract
    This article focuses on two aspects of knowledge generation. First, I want to explore how new knowledge is created in interdisciplinary discourses and, second, how this process might be mediated and promoted by the use of wikis. I suggest that it is the noise coming to life in (ex)changes of perspectives that enables the creation of new knowledge. In section 1-4, I am going to examine how the concepts of noise from the mathematical theory of communication (Shannon 1948) on the one hand and theories of organizational knowledge creation (cf. Nonaka 1994) on the other might help to understand the process of interdisciplinary knowledge creation. In section 5 I am going to explore the role wiki technologies can play in supporting interdisciplinary collaborations. This section is influenced by own experiences in a wiki-based interdisciplinary collaboration. It seems that even though certain features of wiki technology make it an excellent tool to externalize and combine individual knowledge leaving room for noise and at the same time documenting this process, the full benefit of wikis can only be obtained if they are embedded into a broader communication context.
    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
    Type
    a
  4. Lüth, J.: Inhaltserschließung von Internetquellen durch Nutzerinnen und Nutzer : Ergebnisse eines Tests mit Internetquellen der Virtuellen Fachbibliothek EconBiz (2009) 0.02 
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    Abstract
    EconBiz, die Virtuelle Fachbibliothek Wirtschaftswissenschaften, wird gemeinsam von der Deutschen Zentralbibliothek für Wirtschaftswissenschaften (ZBW) und der Universitäts- und Stadtbibliothek Köln angeboten. Ein zentraler Bestandteil von EconBiz ist der Fachinformationsführer für Internetquellen, der derzeit über 16.000 Datensätze umfasst. Der Fachinformationsführer dient der Recherche nach Internetquellen und frei verfügbaren Volltexten. Die Erschließung dieser Quellen erfolgt arbeitsteilig durch bibliothekarisches und wissenschaftliches Personal im LinkShare System, einem System für die kooperative Erschließung und Verwaltung digitaler Netzobjekte. Nutzerinnen und Nutzer von EconBiz haben die Möglichkeit, Quellen für die Aufnahme in den Fachinformationsführer vorzuschlagen. Eine Beteiligung an der inhaltlichen Erschließung der Quellen erfolgt nicht. In Social-Bookmarking-Portalen wie "deLicio.us", "Furl" oder "Mister Wong" haben Nutzerinnen und Nutzer die Möglichkeit, eigene Listen mit Lesezeichen, englisch "Bookmarks", zu verwalten. Dazu bieten die verschiedenen Anbieter dieser Dienste allerhand nützliche Funktionen, u. a. mit folgenden Merkmalen: - Vergabe von Kategorien oder Schlagworten, so genannten "Tags", - Anlegen privater oder öffentlicher Bookmarks, - Abspeichern einer Version der Quelle. Derzeit üben diese Dienste eine sehr hohe Anziehungskraft auf Nutzerinnen und Nutzer aus, zum einen für die Verwaltung der eigenen Lesezeichen, zum anderen als Instrument für die Recherche nach relevanten Quellen. Mehr über das Potential und die Einsatzmöglichkeiten von Social-Bookmarking-Diensten möchte die ZBW im Rahmen eines Projekts "Inhaltserschließung durch Nutzerinnen und Nutzer" erfahren. Dafür wurde über einen begrenzten Zeitraum eine Teilmenge der im EconBiz-Fachinformationsführer enthaltenen Internetquellen in Social-Bookmarking-Webseiten angeboten. Ziel ist es, Erkenntnisse darüber zu gewinnen, in welchem Umfang diese von den Nutzerinnen und Nutzern der Socaial-Bookmarking-Dienste nachgenutzt und um eigene Schlagworte ergänzt werden.
    Type
    a
  5. Hidderley, R.; Rafferty, P.: Flickr and democratic indexing : disciplining desire lines (2006) 0.02 
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    Abstract
    In this paper, we consider three models of subject indexing, and compare and contrast two indexing approaches, the theoretically based democratic indexing project, and Flickr, a working system for describing photographs. We argue that, despite Shirky's (2005) claim of philosophical paradigm shifting for social tagging, there is a residing doubt amongst information professionals that self-organising systems can work without there being some element of control and some form of 'representative authority'.
    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
    Type
    a
  6. Oudenaar, H.; Bullard, J.: NOT A BOOK : goodreads and the risks of social cataloging with insufficient direction (2024) 0.02 
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    Abstract
    Social cataloging websites, such as Goodreads, LibraryThing, and StoryGraph are widely popular with individuals who want to track their reading and read reviews. Goodreads is one of the most popular sites with 90 million registered users as of 2019. This paper studies a Goodreads cataloging rule, NOT A BOOK (NAB), through which users designate items as invalid to the site's scope while preserving some of their metadata. By reviewing NAB, we identify thirteen types of invalid items. We go on to discuss how these item types unevenly reflect the rule itself and the emergence of a "non-book" sense through social cataloging.
    Source
    Cataloging and classification quarterly. 61(2023) no.2, p.203-227
    Type
    a
  7. Chen, M.; Liu, X.; Qin, J.: Semantic relation extraction from socially-generated tags : a methodology for metadata generation (2008) 0.02 
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    Abstract
    The growing predominance of social semantics in the form of tagging presents the metadata community with both opportunities and challenges as for leveraging this new form of information content representation and for retrieval. One key challenge is the absence of contextual information associated with these tags. This paper presents an experiment working with Flickr tags as an example of utilizing social semantics sources for enriching subject metadata. The procedure included four steps: 1) Collecting a sample of Flickr tags, 2) Calculating cooccurrences between tags through mutual information, 3) Tracing contextual information of tag pairs via Google search results, 4) Applying natural language processing and machine learning techniques to extract semantic relations between tags. The experiment helped us to build a context sentence collection from the Google search results, which was then processed by natural language processing and machine learning algorithms. This new approach achieved a reasonably good rate of accuracy in assigning semantic relations to tag pairs. This paper also explores the implications of this approach for using social semantics to enrich subject metadata.
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
    Type
    a
  8. Peters, I.: Benutzerzentrierte Erschließungsverfahren (2013) 0.02 
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    Source
    Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried
    Type
    a
  9. Peters, I.; Schumann, L.; Terliesner, J.: Folksonomy-basiertes Information Retrieval unter der Lupe (2012) 0.01 
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    Content
    Vgl.: http://www.degruyter.com/view/j/iwp.2012.63.issue-4/iwp-2012-0047/iwp-2012-0047.xml?format=INT.
    Type
    a
  10. Hotho, A.; Jäschke, R.; Benz, D.; Grahl, M.; Krause, B.; Schmitz, C.; Stumme, G.: Social Bookmarking am Beispiel BibSonomy (2009) 0.01 
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    Source
    Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini
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    a
  11. Wang, J.; Clements, M.; Yang, J.; Vries, A.P. de; Reinders, M.J.T.: Personalization of tagging systems (2010) 0.01 
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    Abstract
    Social media systems have encouraged end user participation in the Internet, for the purpose of storing and distributing Internet content, sharing opinions and maintaining relationships. Collaborative tagging allows users to annotate the resulting user-generated content, and enables effective retrieval of otherwise uncategorised data. However, compared to professional web content production, collaborative tagging systems face the challenge that end-users assign tags in an uncontrolled manner, resulting in unsystematic and inconsistent metadata. This paper introduces a framework for the personalization of social media systems. We pinpoint three tasks that would benefit from personalization: collaborative tagging, collaborative browsing and collaborative search. We propose a ranking model for each task that integrates the individual user's tagging history in the recommendation of tags and content, to align its suggestions to the individual user preferences. We demonstrate on two real data sets that for all three tasks, the personalized ranking should take into account both the user's own preference and the opinion of others.
    Type
    a
  12. Watters, C.; Nizam, N.: Knowledge organization on the Web : the emergent role of social classification (2012) 0.01 
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    Abstract
    There are close to a billion websites on the Internet with approximately 400 million users worldwide [www.internetworldstats.com]. People go to websites for a wide variety of different information tasks, from finding a restaurant to serious research. Many of the difficulties with searching the Web, as it is structured currently, can be attributed to increases to scale. The content of the Web is now so large that we only have a rough estimate of the number of sites and the range of information is extremely diverse, from blogs and photos to research articles and news videos.
    Source
    Categories, contexts and relations in knowledge organization: Proceedings of the Twelfth International ISKO Conference 6-9 August 2012, Mysore, India. Eds.: Neelameghan, A. u. K.S. Raghavan
    Type
    a
  13. Golbeck, J.; Koepfler, J.; Emmerling, B.: ¬An experimental study of social tagging behavior and image content (2011) 0.01 
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    Abstract
    Social tags have become an important tool for improving access to online resources, particularly non-text media. With the dramatic growth of user-generated content, the importance of tags is likely to grow. However, while tagging behavior is well studied, the relationship between tagging behavior and features of the media being tagged is not well understood. In this paper, we examine the relationship between tagging behavior and image type. Through a lab-based study with 51 subjects and an analysis of an online dataset of image tags, we show that there are significant differences in the number, order, and type of tags that users assign based on their past experience with an image, the type of image being tagged, and other image features. We present these results and discuss the significant implications this work has for tag-based search algorithms, tag recommendation systems, and other interface issues.
    Type
    a
  14. Spiteri, L.F.: Extending the scope of library discovery systems via hashtags (2018) 0.01 
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    Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
    Type
    a
  15. Abbas, J.: In the margins : reflections on scribbles (2007) 0.01 
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    Abstract
    Marginalia or 'scribbling in the margins' is a means for readers to add a more in-depth level of granularity and subject representation to digital documents such as those present in social sharing environments like Flickr and del.icio.us. Social classification and social sharing sites development of user-defined descriptors or tags is discussed in the context of knowledge organization. With this position paper I present a rationale for the use of the resulting folksonomies and tag clouds being developed in these social sharing communities as a rich source of information about our users and their natural organization processes. The knowledge organization community needs to critically examine our understandings of these emerging classificatory schema and determine how best to adapt, augment, revitalize existing knowledge organization structures.
    Type
    a
  16. Blumauer, A.; Hochmeister, M.: Tag-Recommender gestützte Annotation von Web-Dokumenten (2009) 0.01 
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    Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini
    Type
    a
  17. Lin, N.; Li, D.; Ding, Y.; He, B.; Qin, Z.; Tang, J.; Li, J.; Dong, T.: ¬The dynamic features of Delicious, Flickr, and YouTube (2012) 0.01 
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    Abstract
    This article investigates the dynamic features of social tagging vocabularies in Delicious, Flickr, and YouTube from 2003 to 2008. Three algorithms are designed to study the macro- and micro-tag growth as well as the dynamics of taggers' activities, respectively. Moreover, we propose a Tagger Tag Resource Latent Dirichlet Allocation (TTR-LDA) model to explore the evolution of topics emerging from those social vocabularies. Our results show that (a) at the macro level, tag growth in all the three tagging systems obeys power law distribution with exponents lower than 1; at the micro level, the tag growth of popular resources in all three tagging systems follows a similar power law distribution; (b) the exponents of tag growth vary in different evolving stages of resources; (c) the growth of number of taggers associated with different popular resources presents a feature of convergence over time; (d) the active level of taggers has a positive correlation with the macro-tag growth of different tagging systems; and (e) some topics evolve into several subtopics over time while others experience relatively stable stages in which their contents do not change much, and certain groups of taggers continue their interests in them.
    Type
    a
  18. Chae, G.; Park, J.; Park, J.; Yeo, W.S.; Shi, C.: Linking and clustering artworks using social tags : revitalizing crowd-sourced information on cultural collections (2016) 0.01 
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    Abstract
    Social tagging is one of the most popular methods for collecting crowd-sourced information in galleries, libraries, archives, and museums (GLAMs). However, when the number of social tags grows rapidly, using them becomes problematic and, as a result, they are often left as simply big data that cannot be used for practical purposes. To revitalize the use of this crowd-sourced information, we propose using social tags to link and cluster artworks based on an experimental study using an online collection at the Gyeonggi Museum of Modern Art (GMoMA). We view social tagging as a folksonomy, where artworks are classified by keywords of the crowd's various interpretations and one artwork can belong to several different categories simultaneously. To leverage this strength of social tags, we used a clustering method called "link communities" to detect overlapping communities in a network of artworks constructed by computing similarities between all artwork pairs. We used this framework to identify semantic relationships and clusters of similar artworks. By comparing the clustering results with curators' manual classification results, we demonstrated the potential of social tagging data for automatically clustering artworks in a way that reflects the dynamic perspectives of crowds.
    Type
    a
  19. Spiteri, L.F.: Incorporating facets into social tagging applications : an analysis of current trends (2010) 0.01 
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    Abstract
    An increasingly difficult challenge in social tagging applications is negotiating the number of existing tags. This article examines the use of facets to facilitate the efficient organization and browsing of tags into manageable and distinct categories. Current and proposed methodologies for the application of facets in social tagging applications are evaluated. Results of this analysis indicate that these methodologies provide insufficient guidelines for the choice, evaluation, and maintenance of the facets. Suggestions are made to guide the design of a more rigorous methodology for the application of facets to social tagging applications.
    Footnote
    Beitrag in einem special issue: Is there a catalog in your future? Celebrating Nancy J. Williamson: Scholar, educator, colleague, mentor
    Type
    a
  20. Held, C.; Cress, U.: Social Tagging aus kognitionspsychologischer Sicht (2008) 0.01 
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    Type
    a

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