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Aspects of broad folksonomies

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This document analyzes aspects of broad folksonomies based on a sample of over 800,000 bookmarks from Delicious. It finds that: 1) The frequency-rank distribution of co-occurring tags follows a power law for around 80% of tags analyzed. 2) When analyzing resource-based and user-based tagging characteristics, only around 18-13% of tags respectively followed a power law distribution, indicating folksonomies have a more complex underlying structure. 3) Tags provide added value for retrieval over title alone, though precision and recall were mostly below 0.5, showing tags are not redundant but current usage may not optimize retrieval performance.

TechnologieBusiness
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Aspects of Broad Folksonomies Mathias Lux Alpen Adria Universität Klagenfurt Michael Granitzer Know-Center Graz Roman Kern Know-Center Graz
Content ,[object Object],[object Object],[object Object],[object Object],[object Object]
Folksonomy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Folksonomy - Example Create Bookmark Common Metadata (cp. DC)‏ Tags Suggestions (while typing) & Recommendations
Folksonomy http ://... t 5 t 3 t 2 t 1 http ://...
Motivation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Research Questions ,[object Object],[object Object],[object Object]
Assumptions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Related Work ,[object Object],[object Object],[object Object],[object Object],[object Object]
Further Assumptions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Test Data Set: A Quasi Random Sample ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Test Data Set: A Quasi Random Sample ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Tag Co-Occurence ,[object Object],[object Object],[object Object],[object Object],[object Object]
Tag Co-Occurence ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions ... ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Resource based Tagging Characteristics ,[object Object],[object Object],[object Object]
Resource based Tagging Characteristics ,[object Object],[object Object]
User based Tagging Characteristics ,[object Object],[object Object],[object Object]
User based Tagging Characteristics ,[object Object],[object Object]
Conclusions ... ,[object Object],[object Object],[object Object],[object Object],[object Object]
Semantically Different Sub Communities? ,[object Object],[object Object],[object Object],[object Object]
Semantically Different Sub Communities? ,[object Object],[object Object]
Tags not following a power law .. ,[object Object],[object Object]
Tags not following a power law .. ,[object Object],[object Object],38.7% 12.0% Tag used once per user (unpopular tags)‏ 19.0% 3.9% Tag used by single user (personal vocabulary)‏ 57.0% - Tag only used once (e.g. typos)‏ D2 D1
Conclusion ,[object Object],[object Object],[object Object],[object Object]
Retrieval based on Folksonomies ,[object Object],[object Object],[object Object],[object Object],[object Object]
Retrieval based on Folksonomies Precision & Recall for title only search
Conclusions ,[object Object],[object Object],[object Object],[object Object]
Overall Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Questions? ,[object Object],[object Object],[object Object],[object Object]

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Aspects of broad folksonomies

  • 1. Aspects of Broad Folksonomies Mathias Lux Alpen Adria Universität Klagenfurt Michael Granitzer Know-Center Graz Roman Kern Know-Center Graz
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  • 4. Folksonomy - Example Create Bookmark Common Metadata (cp. DC)‏ Tags Suggestions (while typing) & Recommendations
  • 5. Folksonomy http ://... t 5 t 3 t 2 t 1 http ://...
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  • 29. Retrieval based on Folksonomies Precision & Recall for title only search
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