Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge.
In:
Proceedings of the 2nd Web Science Conference (WebSci10).
Raleigh, NC, USA, 2010.
Dominik Benz, Andreas Hotho and Gerd Stumme.
[BibTeX]
Persönliches Tag Gardening mit tagCare..
In:
M. Ockenfeld, editor,
Generation international - die Zukunft von Information, Wissenschaft und Profession. Proceedings der 31. Online-Tagung der Germany., pages 117-128.
DGI Frankfurt a. M., 2009.
Frankfurt am Main: DGI
C. Dittmann, M. Dittmann, I. Peters and K. Weller.
[doi]
[BibTeX]
Representing and sharing folksonomies with semantics.
Journal of Information Science:0165551509346785, 2009.
Hak-Lae Kim, Stefan Decker and John G. Breslin.
[doi]
[abstract]
[BibTeX]
Websites that provide content creation and sharing features have become quite popular recently. These sites allow users to categorize and browse content using tags' or free-text keyword topics. Since users contribute and tag social media content across a variety of social web platforms, creating new knowledge from distributed tag data has become a matter of performing various tasks, including publishing, aggregating, integrating, and republishing tag data. However, there are a number of issues in relation to data sharing and interoperability when processing tag data across heterogeneous tagging platforms. In this paper we introduce a semantic tag model that aims to explicitly offer the necessary structure, semantics and relationships between tags. This approach provides an improved opportunity for representing tag data in the form of reusable constructs at a semantic level. We also demonstrate a prototype that consumes and makes use of shared tag metadata across heterogeneous sources.
Collaborative Semantic Structuring of Folksonomies.
Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, 1:132-135, 2009.
Freddy Limpens, Fabien Gandon and Michel Buffa.
[doi]
[BibTeX]
Evaluating Similarity Measures for Emergent Semantics of Social Tagging.
In:
18th International World Wide Web Conference, pages 641-641.
2009.
Benjamin Markines, Ciro Cattuto, Filippo Menczer, Dominik Benz, Andreas Hotho and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, and which measures are best suited for applications such as navigation support, semantic search, and ontology learning. Here we build an evaluation framework to compare various general folksonomy-based similarity measures derived from established information-theoretic, statistical, and practical measures. Our framework deals generally and symmetrically with users, tags, and resources. For evaluation purposes we focus on similarity among tags and resources, considering different ways to aggregate annotations across users. After comparing how tag similarity measures predict user-created tag relations, we provide an external grounding by user-validated semantic proxies based on WordNet and the Open Directory. We also investigate the issue of scalability. We ?nd that mutual information with distributional micro-aggregation across users yields the highest accuracy, but is not scalable; per-user projection with collaborative aggregation provides the best scalable approach via incremental computations. The results are consistent across resource and tag similarity.
Proceedings of the First International Workshop on Emergent Semantics and Ontology Evolution, ESOE 2007, co-located with ISWC 2007 + ASWC 2007, Busan, Korea, November 12th, 2007.
CEUR Workshop Proceedings. volume 292.
CEUR-WS.org, 2007.
Liming Chen, Philippe Cudré-Mauroux, Peter Haase, Andreas Hotho and Ernie Ong.
[doi]
[BibTeX]
The Complex Dynamics of Collaborative Tagging.
In:
Proceedings of the 16th nternational World Wide Web Conference (WWW'07).
ACM Press, New York, NY, USA, 2007.
Harry Halpin, Valentin Robu and Hana Shepherd.
[doi]
[abstract]
[BibTeX]
The debate within the Web community over the optimal means by which to organize information often pits formalized classi�cations against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including whether coherent categorization schemes can emerge from unsupervised tagging by users. This paper uses data from the social bookmarking site del.icio.us to examine the dynamics of collaborative tagging systems. In particular, we examine whether the distribution of the frequency of use of tags for popular sites with a long history (many tags and many users) can be described by a power law distribution, often characteristic of what are considered complex systems. We produce a generative model of collaborative tagging in order to understand the basic dynamics behind tagging, including how a power law distribution of tags could arise. We empirically examine the tagging history of sites in order to determine how this distribution arises over time and to determine the patterns prior to a stable distribution. Lastly, by focusing on the high-frequency tags of a site where the distribution of tags is a stabilized power law, we show 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.
Understanding the Semantics of Ambiguous Tags in Folksonomies.
In: L. Chen, P. Cudré-Mauroux, P. Haase, A. Hotho and E. Ong, editors,
ESOE, volume 292, series CEUR Workshop Proceedings, pages 108-121.
CEUR-WS.org, 2007.
Ching man Au Yeung, Nicholas Gibbins and Nigel Shadbolt.
[BibTeX]
A Yule-Simon process with memory.
Europhysics Letters, 76(2):208-214, 2006.
Ciro Cattuto, Vittorio Loreto and Vito D.P. Servedio.
[doi]
[abstract]
[BibTeX]
The Yule-Simon model has been used as a tool to describe the growth of diverse systems, acquiring a paradigmatic character in many fields of research. Here we study a modified Yule-Simon model that takes into account the full history of the system by means of a hyperbolic memory kernel. We show how the memory kernel changes the properties of preferential attachment and provide an approximate analytical solution for the frequency distribution density as well as for the frequency-rank distribution.
The Dynamics and Semantics of Collaborative Tagging .
In:
Proceedings of the 1st Semantic Authoring and Annotation Workshop (SAAW'06), volume Vol-209.
CEUR-WS, 2006.
Harry Halpin, Valentin Robu and Hana Shepard.
[doi]
[BibTeX]
Emergent Semantics in BibSonomy.
In:
Proc. Workshop on Applications of Semantic Technologies, Informatik 2006, volume P-94.
Dresden, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[BibTeX]
Emergent Semantics from Folksonomies: A Quantitative Study.
Special issue of Journal of Data Semantics on Emergent Semantics (to appear), 2006.
Lei Zhang, Xian Wu and Yong Yu.
[BibTeX]
Using site semantics to analyze, visualize and support navigation.
Data Mining and Knowledge Discovery, 6(1):37-59, 2002.
B. Berendt.
[doi]
[BibTeX]
Preparations for Semantics-Based XML Mining.
In: N. Cercone, T. Y. Lin and X. Wu, editors,
Proceedings of the 2001 IEEE International Conference on Data
Mining, 29 November - 2 December 2001, San Jose, California,
USA, pages 345-352.
IEEE Computer Society, 2001.
Jung-Won Lee, Kiho Lee and Won Kim.
[BibTeX]