Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Usage patterns of collaborative tagging systems
Journal of Information Science
Exploring social annotations for the semantic web
Proceedings of the 15th international conference on World Wide Web
Improved annotation of the blogosphere via autotagging and hierarchical clustering
Proceedings of the 15th international conference on World Wide Web
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
Harvesting social knowledge from folksonomies
Proceedings of the seventeenth conference on Hypertext and hypermedia
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
Network properties of folksonomies
AI Communications - Network Analysis in Natural Sciences and Engineering
Evaluating similarity measures for emergent semantics of social tagging
Proceedings of the 18th international conference on World wide web
Contextualising tags in collaborative tagging systems
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Course In General Linguistics
Collaborative Semantic Structuring of Folksonomies
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Ontologies are us: a unified model of social networks and semantics
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Emergent semantics from folksonomies: a quantitative study
Journal on Data Semantics VI
Of categorizers and describers: an evaluation of quantitative measures for tagging motivation
Proceedings of the 21st ACM conference on Hypertext and hypermedia
The wisdom in tweetonomies: acquiring latent conceptual structures from social awareness streams
Proceedings of the 3rd International Semantic Search Workshop
Exploring the influence of tagging motivation on tagging behavior
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Social people-tagging vs. social bookmark-tagging
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Pragmatic evaluation of folksonomies
Proceedings of the 20th international conference on World wide web
Tags vs shelves: from social tagging to social classification
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
What do you call it?: a comparison of library-created and user-created tags
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
One tag to bind them all: measuring term abstractness in social metadata
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
The effects of navigation tools on the navigability of web-based information systems
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
Enhancing the navigability of social tagging systems with tag taxonomies
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
ONTECTAS: bridging the gap between collaborative tagging systems and structured data
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
Topic-based ranking in Folksonomy via probabilistic model
Artificial Intelligence Review
Measuring social tag confidence: is it a good or bad tag?
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Semantic disambiguation in folksonomy: a case study
NLP4DL'09/AT4DL'09 Proceedings of the 2009 international conference on Advanced language technologies for digital libraries
Building directories for social tagging systems
Proceedings of the 20th ACM international conference on Information and knowledge management
Implicit imitation in social tagging: familiarity and semantic reconstruction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Uses of explicit and implicit tags in social bookmarking
Journal of the American Society for Information Science and Technology
Navigational efficiency of broad vs. narrow folksonomies
Proceedings of the 23rd ACM conference on Hypertext and social media
Evaluation of Folksonomy Induction Algorithms
ACM Transactions on Intelligent Systems and Technology (TIST)
Analysing user motivation in an art folksonomy
Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
Web Semantics: Science, Services and Agents on the World Wide Web
How tagging pragmatics influence tag sense discovery in social annotation systems
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Meaning as collective use: predicting semantic hashtag categories on twitter
Proceedings of the 22nd international conference on World Wide Web companion
The effect of users' tagging motivation on the enlargement of digital educational resources metadata
Computers in Human Behavior
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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 the evolution of semantic structures in these systems. A natural hypothesis is that the quality of the emergent semantics depends on the pragmatics of tagging: Users with certain usage patterns might contribute more to the resulting semantics than others. In this work, we propose several measures which enable a pragmatic differentiation of taggers by their degree of contribution to emerging semantic structures. We distinguish between categorizers, who typically use a small set of tags as a replacement for hierarchical classification schemes, and describers, who are annotating resources with a wealth of freely associated, descriptive keywords. To study our hypothesis, we apply semantic similarity measures to 64 different partitions of a real-world and large-scale folksonomy containing different ratios of categorizers and describers. Our results not only show that "verbose" taggers are most useful for the emergence of tag semantics, but also that a subset containing only 40% of the most 'verbose' taggers can produce results that match and even outperform the semantic precision obtained from the whole dataset. Moreover, the results suggest that there exists a causal link between the pragmatics of tagging and resulting emergent semantics. This work is relevant for designers and analysts of tagging systems interested (i) in fostering the semantic development of their platforms, (ii) in identifying users introducing "semantic noise", and (iii) in learning ontologies.