Enhancing the navigability of social tagging systems with tag taxonomies

@inproceedings{Trattner2011EnhancingTN,
  title={Enhancing the navigability of social tagging systems with tag taxonomies},
  author={Christoph Trattner and Christian K{\"o}rner and D. Helic},
  booktitle={i-KNOW '11},
  year={2011}
}
Tagging introduces an intuitive and easy method to organize resources in information systems. Although tags exhibit useful properties for e.g. personal organization of information, recent research has shown that the navigability of social tagging systems leaves much to be desired. When browsing social tagging systems users often have to navigate through huge lists of potential results before arriving at the desired resource. Thus, from a user point of view tagging systems are typically hard to… 
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References

SHOWING 1-10 OF 33 REFERENCES
Understanding the efficiency of social tagging systems using information theory
TLDR
It is shown that information theory provides a natural and interesting way to understand this efficiency - or the descriptive, encoding power of tags - of social tagging systems.
Understanding Navigability of Social Tagging Systems
TLDR
It is shown that over time, del.icio.us is becoming harder and harder to navigate and provide an evaluation metric, namely entropy, that can be used to evaluate and drive system design choices.
Pragmatic evaluation of folksonomies
TLDR
This paper presents and applies a pragmatic framework for evaluating folksonomies, and model exploratory navigation of a tagging system as decentralized search on a network of tags, to use hierarchical structures learned by folksonomy algorithm as background knowledge for decentralized search.
Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems
TLDR
A simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags is discovered.
HT06, tagging paper, taxonomy, Flickr, academic article, to read
TLDR
A model of tagging systems, specifically in the context of web-based systems, is offered to help illustrate the possible benefits of these tools and a simple taxonomy of incentives and contribution models is provided to inform potential evaluative frameworks.
Constructing folksonomies from user-specified relations on flickr
TLDR
This work proposes to use user-specified relations for learning folksonomy, and explores two statistical frameworks for aggregating many shallow individual hierarchies into a common deeper folksonomy that reflects how a community organizes knowledge.
Are tag clouds useful for navigation? A network-theoretic analysis
TLDR
This paper first model navigation in tagging systems and then simulate the navigation process in such a graph, and confirms that tag clouds have efficient navigation properties in theory, but shows that popular user interface decisions significantly impair their navigability.
The complex dynamics of collaborative tagging
TLDR
A generative model of collaborative tagging is produced in order to understand the basic dynamics behind tagging, including how a power law distribution of tags could arise and how tag co-occurrence networks for a sample domain of tags can be used to analyze the meaning of particular tags given their relationship to other tags.
Stop thinking, start tagging: tag semantics emerge from collaborative verbosity
Recent research provides evidence for the presence of emergent semantics in collaborative tagging systems. While several methods have been proposed, little is known about the factors that influence
Towards effective browsing of large scale social annotations
TLDR
This paper proposes a novel algorithm, namely Effective Large Scale Annotation Browser (ELSABer), to browse large-scale social annotation data and helps the users browse huge number of annotations in a semantic, hierarchical and efficient way.
...
1
2
3
4
...