Conceptualization and Visualization of Tagging and Folksonomies

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Tagging has become a popular indexing method for interactive systems in the past decade. It offers a simple yet effective way for users to organize an ever increasing amount of digital information for themselves and/or others. The linked user vocabulary resulting from tagging is known as folksonomy and provides a valuable source for the retrieval and exploration of digital resources. Although several models and representations of tagging have been proposed, there is no coherent conceptualization that provides a comprehensive and precise description of the concepts and relationships in the domain. Furthermore, there is little systematic research in the area of folksonomy visualization, and so folksonomies are still mainly depicted as simple tag clouds. Both problems are related, as a well-defined conceptualization is an important prerequisite for the interoperable use and visualization of folksonomies. The thesis addresses these shortcomings by developing a coherent conceptualization of tagging and visualizations for the interactive exploration of folksonomies. It gives an overview and comparison of tagging models and defines key concepts of the domain. After a comprehensive review of existing tagging ontologies, a unified and coherent conceptualization is presented that incorporates the best parts of the reviewed ontologies. The conceptualization is implemented in a standardized ontology language and enables scalable reasoning on folksonomies. Based on the conceptualization, different tag cloud layouts and their ability to support users in information seeking tasks are investigated. Extensions to tag clouds are developed and combined into an analysis system, enhanced by sophisticated natural language processing and intuitive interaction techniques. Furthermore, existing work on visualizing folksonomies as graphs is analyzed and a new type of graph visualization tailored to the tag-based exploration of digital resources is introduced. The work presented in this thesis has been successfully applied in different contexts. The developed conceptualization has been used in knowledge and requirements engineering, the tag cloud extensions have been applied in visual text analysis, and the novel graph visualization has proved useful in image retrieval and requirements analysis. These examples demonstrate the utility of the developed approaches beyond the topic of tagging and open up interesting questions for future research.
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Dokumententyp:
Wissenschaftliche Abschlussarbeiten » Dissertation
Fakultät / Institut:
Fakultät für Ingenieurwissenschaften » Informatik und Angewandte Kognitionswissenschaft
Dewey Dezimal-Klassifikation:
000 Informatik, Informationswissenschaft, allgemeine Werke » 000 Informatik, Wissen, Systeme » 000 Informatik, Informationswissenschaft, allgemeine Werke
Contributors:
Prof. Dr. Díaz, Paloma [Thesis advisor]
Prof. Dr.-Ing. Ziegler, Jürgen [Thesis advisor]
Language:
Englisch
Collection / Status:
Dissertations / Document published
Date of doctoral thesis submission:
04.10.2013
Files changed on:
17.09.2014
Date of doctoral degree:
27.11.2013
Medientyp:
Text