@inproceedings{plangprasopchok2009constructing, abstract = {Automatic folksonomy construction from tags has attracted much attention recently. However, inferring hierarchical relations between concepts from tags has a drawback in that it is difficult to distinguish between more popular and more general concepts. Instead of tags we propose to use userspecified relations for learning folksonomy. We explore two statistical frameworks for aggregating many shallow individual hierarchies, expressed through the collection/set relations on the social photosharing site Flickr, into a common deeper folksonomy that reflects how a community organizes knowledge. Our approach addresses a number of challenges that arise while aggregating information from diverse users, namely noisy vocabulary, and variations in the granularity level of the concepts expressed. Our second contribution is a method for automatically evaluating learned folksonomy by comparing it to a reference taxonomy, e.g., the Web directory created by the Open Directory Project. Our empirical results suggest that user-specified relations are a good source of evidence for learning folksonomies.}, author = {Plangprasopchok, Anon and Lerman, Kristina}, booktitle = {WWW}, crossref = {conf/www/2009}, date = {2009-05-05}, editor = {Quemada, Juan and León, Gonzalo and Maarek, Yoëlle S. and Nejdl, Wolfgang}, ee = {http://doi.acm.org/10.1145/1526709.1526814}, file = {plangprasopchok2009constructing.pdf:plangprasopchok2009constructing.pdf:PDF}, groups = {public}, interhash = {fccd894a82edb040d7438d6da91e3ebe}, intrahash = {0a42603ea1375e9ed6efe1bbda6302da}, isbn = {978-1-60558-487-4}, misc_id = {a_dummy_id}, pages = {781-790}, publisher = {ACM}, timestamp = {2010-04-07 07:15:40}, title = {Constructing folksonomies from user-specified relations on flickr.}, username = {dbenz}, year = 2009 } @article{garciasilva2011review, abstract = {This paper describes and compares the most relevant approaches for associating tags with semantics in order to make explicit the meaning of those tags. We identify a common set of steps that are usually considered across all these approaches and frame our descriptions according to them, providing a unified view of how each approach tackles the different problems that appear during the semantic association process. Furthermore, we provide some recommendations on (a) how and when to use each of the approaches according to the characteristics of the data source, and (b) how to improve results by leveraging the strengths of the different approaches.}, author = {Garcia-Silva, Andres and Corcho, Oscar and Alani, Harith and Gomez-Perez, Asuncion}, file = {garciasilva2011review.pdf:garciasilva2011review.pdf:PDF}, groups = {public}, interhash = {ef913839d8ab1f3955a9d05c5ba2fadf}, intrahash = {42f77eb846bdae1847ea70ca5ba6c9ec}, journal = {Knowledge Engineering Review}, month = {December}, number = 4, timestamp = {2011-02-15 03:13:28}, title = {Review of the state of the art: Discovering and Associating Semantics to Tags in Folksonomies}, username = {dbenz}, volume = 26, year = 2011 } @mastersthesis{keller2010theoretical, author = {Keller, Christine}, file = {keller2010theoretical.pdf:keller2010theoretical.pdf:PDF}, groups = {public}, interhash = {1b3c1123ec9de6b4997ca24cb9e658fd}, intrahash = {5e7a5d5d2ff00af9a914b3a547ca3c48}, school = {Universität Stuttgart}, timestamp = {2011.07.29}, title = {Theoretical and Practical Perspectives on Ontology Learning from Folksonomies}, username = {dbenz}, year = 2010 } @article{strohmaier2011evaluation, author = {Strohmaier, Markus and Helic, Denis and Benz, Dominik and Körner, Christian and Kern, Roman}, interhash = {87e110b0ade230877db6855cacabcb4d}, intrahash = {603161eb4c5b2f87f3d3a50f87015337}, journal = {Transactions on Intelligent Systems and Technology}, title = {Evaluation of Folksonomy Induction Algorithms}, url = {http://tist.acm.org/index.html}, vgwort = {43}, year = 2012 } @article{strohmaier2011evaluation, author = {Strohmaier, Markus and Helic, Denis and Benz, Dominik and Körner, Christian and Kern, Roman}, interhash = {87e110b0ade230877db6855cacabcb4d}, intrahash = {603161eb4c5b2f87f3d3a50f87015337}, journal = {Transactions on Intelligent Systems and Technology}, title = {Evaluation of Folksonomy Induction Algorithms}, url = {http://tist.acm.org/index.html}, vgwort = {43}, year = 2012 }