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A Probabilistic Approach for Learning Folksonomies from Structured Data [article]

Anon Plangprasopchok, Kristina Lerman, Lise Getoor
2010 arXiv   pre-print
In this work, we present an unsupervised probabilistic approach that extends affinity propagation to combine the small ontological fragments into a collection of integrated, consistent, and larger folksonomies  ...  Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis.  ...  INTRODUCTION Learning structure from data has emerged as an important problem in many domains, for example, learning gene networks from microarray data [5] and learning the structure of probabilistic  ... 
arXiv:1011.3557v1 fatcat:4cuyogi6irfyzhjko6zaz6zxzm

A probabilistic approach for learning folksonomies from structured data

Anon Plangprasopchok, Kristina Lerman, Lise Getoor
2011 Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11  
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis.  ...  One approach to learning complex structures is to integrate many smaller, incomplete and noisy structure fragments.  ...  INTRODUCTION Learning structure from data has emerged as an important problem in many domains, for example, learning gene networks from microarray data [5] and learning the structure of probabilistic  ... 
doi:10.1145/1935826.1935905 dblp:conf/wsdm/PlangprasopchokLG11 fatcat:laiau6pjwfebxetoekn4aj2pzq

Leveraging User Diversity to Harvest Knowledge on the Social Web

Jeon-Hyung Kang, Kristina Lerman
2011 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing  
While several approaches have been proposed to mine social annotations, for example, to learn folksonomies that reflect how people relate narrower concepts to broader ones, these methods treat all users  ...  We evaluate the approach on a large body of social annotations extracted from the photosharing site Flickr. We show that using expert knowledge leads to more detailed and accurate folksonomies.  ...  ACKNOWLEDGMENT We would like to thank Jong-hyop Kim for implementing CAT evaluation and the annotators for evaluating the learned folksonomies.  ... 
doi:10.1109/passat/socialcom.2011.106 dblp:conf/socialcom/KangL11 fatcat:kt2lidzzore3hmttsfxhw5vbti

Leveraging User Diversity to Harvest Knowledge on the Social Web [article]

Jeon-Hyung Kang, Kristina Lerman
2011 arXiv   pre-print
While several approaches have been proposed to mine social annotations, for example, to learn folksonomies that reflect how people relate narrower concepts to broader ones, these methods treat all users  ...  We evaluate the approach on a large body of social annotations extracted from the photosharing site Flickr. We show that using expert knowledge leads to more detailed and accurate folksonomies.  ...  ACKNOWLEDGMENT We would like to thank Jong-hyop Kim for implementing CAT evaluation and the annotators for evaluating the learned folksonomies.  ... 
arXiv:1110.4851v1 fatcat:hqso7ql5zrdx3m5fmo556gfie4

Query Extension with Improved User Profiles for User tailored Search taking Advantage over Folksonomy Data

Mohammed Zubair Ali Khan
2018 International Journal for Research in Applied Science and Engineering Technology  
However, user profiles that solely contain a user's past annotation data might not be enough to support the choice of growth terms, particularly for users with restricted previous activity with the system  ...  . we have a tendency to propose a unique model to construct enriched user profiles with the assistance of associate external corpus for customized question growth.  ...  process and machine learning by mining the thematic structure of documents.  ... 
doi:10.22214/ijraset.2018.6110 fatcat:nxvd2uqm7vgdtggmjqmuoxl37e

Fuzzy clustering-based approach to derive hierarchical structures from folksonomies

Marouf Zahia, Benslimane Sidi Mohamed
2013 2013 ACS International Conference on Computer Systems and Applications (AICCSA)  
Our experimental results on real world data sets show that our method can effectively learn the ontology structure from the folksonomies.  ...  In this paper we propose an approach for extracting ontological structures from folksonomies that exploits the power of fuzzy clustering using new similarity and generality measure.  ...  Since measures for similarity and relatedness are not well developed for threemode data such as folksonomies, we consider a macroaggregation method [24] to obtain two-mode views of the data as per-user  ... 
doi:10.1109/aiccsa.2013.6616455 dblp:conf/aiccsa/ZahiaM13 fatcat:c3hob4b3rzaavljg2xbxjn5wsq

Growing a tree in the forest

Anon Plangprasopchok, Kristina Lerman, Lise Getoor
2010 Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '10  
These types of structured metadata provide valuable evidence for learning how a community organizes knowledge.  ...  We describe an approach to folksonomy learning based on relational clustering, which exploits structured metadata contained in personal hierarchies.  ...  LEARNING FOLKSONOMIES FROM STRUCTURED METADATA We propose a simple, yet effective approach to combine many personal hierarchies into a global folksonomy that takes above challenges into account.  ... 
doi:10.1145/1835804.1835924 dblp:conf/kdd/PlangprasopchokLG10 fatcat:da7yw45p6fbotjjmhfrigmpdf4

Constructing folksonomies from user-specified relations on flickr

Anon Plangprasopchok, Kristina Lerman
2009 Proceedings of the 18th international conference on World wide web - WWW '09  
Our empirical results suggest that user-specified relations are a good source of evidence for learning folksonomies.  ...  Instead of tags we propose to use userspecified relations for learning folksonomy.  ...  A benefit of using the same data for the relation-based and subsumption-based approaches is that the folksonomies are learned from the same vocabulary, making direct comparison feasible.  ... 
doi:10.1145/1526709.1526814 dblp:conf/www/PlangprasopchokL09 fatcat:vwptob7rabf7fnogsovgyapcza

Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata [article]

Anon Plangprasopchok, Kristina Lerman, Lise Getoor
2010 arXiv   pre-print
These types of structured metadata provide valuable evidence for learning how a community organizes knowledge.  ...  We describe an approach to folksonomy learning based on relational clustering, which exploits structured metadata contained in personal hierarchies.  ...  LEARNING FOLKSONOMIES FROM STRUCTURED METADATA We propose a simple, yet effective approach to combine many personal hierarchies into a global folksonomy that takes above challenges into account.  ... 
arXiv:1005.5114v1 fatcat:qauqq4qihzeztagama7zoik6gu

SENTIGRADE: A SENTIMENT BASED USER PROFILING STRATEGY FOR PERSONALISATION

SIPRA SAHOO, BIKRAM KESARI RATHA
2018 Journal of Engineering Science and Technology  
From the folksonomy data, the discovery of User Preference (UsP) is presented by a rigorous probabilistic framework and relevance method are proposed for obtaining Sentiment-Based Personalized (SBP) ranking  ...  Nowadays, the availability of folksonomy data is increased to make importance for user profiling approaches to provide results of the retrieval data or personalized recommendation.  ...  These families used for the generation of data within this probabilistic framework, which is a preference discovery.  ... 
doaj:3ebf0bb8cbaa481cad717f5b99fa479c fatcat:z6wkrnawe5c3jlwqgrak7ssb7y

Topic-based ranking in Folksonomy via probabilistic model

Yan'an Jin, Ruixuan Li, Kunmei Wen, Xiwu Gu, Fei Xiao
2011 Artificial Intelligence Review  
We first extract topics from folksonomy using a probabilistic model, and then construct a transition probability graph.  ...  In this paper, we pay attention to finding the authority score of tags in the whole tag space conditional on topics and put forward a topic-sensitive tag ranking (TSTR) approach to rank tags automatically  ...  Tag graph construction In folksonomy, the structure is triadic context and differs from the web link structure.  ... 
doi:10.1007/s10462-011-9207-0 fatcat:ijqhg2kfinfmrhtm2gkyhfmvca

Folksonomy-Based Collabulary Learning [chapter]

Leandro Balby Marinho, Krisztian Buza, Lars Schmidt-Thieme
2008 Lecture Notes in Computer Science  
We conduct experiments on real data and empirically show the effectiveness of our approach.  ...  mining techniques to efficiently learn an ontology over the enriched folksonomy.  ...  This work is supported by CNPq, an institution of Brazilian Government for scientific and technologic development, and the X-Media 22 (IST-FP6-026978) project.  ... 
doi:10.1007/978-3-540-88564-1_17 fatcat:vdsxbofzqjbfrfqfq3pdvoqtma

Folksonomy-Based Recommender Systems: A State-of-the-Art Review

Daniela Godoy, Alejandro Corbellini
2015 International Journal of Intelligent Systems  
Current recommendation approaches stemming from elds such as user modeling, collaborative ltering, content and link-analysis are reviewed and discussed in order to provide a starting point for researchers  ...  In this context, tripartite relationships between users, resources and tags contained in folksonomies set new challenges for knowledge discovery approaches to be applied with recommendation purposes.  ...  Probabilistic matrix factorization (PMF) is as a widely used latent factor model employed in TagiCoFi (Tag Informed Collaborative Filtering) [71] to learn a model from data.  ... 
doi:10.1002/int.21753 fatcat:ylf6d4a3ybdkpjrytblvgkvbuu

An Integrated Approach to Drive Ontological Structure from Folksonomie

Zahia Marouf, Sidi Mohamed Benslimane
2014 International Journal of Information Technology and Computer Science  
In this paper, we propose an improvement of our previous approach to extract ontological structures from folksonomies.  ...  This transforms the user from his old status as a consumer to a new one as a producer. Folksonomies are one of the technologies of Web 2.0 that permit users to annotate resources on the Web.  ...  A small excerpt from the tag hierarchy created for Delicious tags (red tags are ambiguous ones) Fig. 7 . 7 Taxonomic overlap based comparison between the learned hierarchical structures and the reference  ... 
doi:10.5815/ijitcs.2014.12.05 fatcat:2fdbaeprlnbn5mpas34hzfegky

Enriching user profiles using geo-social place semantics in geo-folksonomies

Ehab ElGindy, Alia Abdelmoty
2014 International Journal of Geographical Information Science  
The folksonomy analysis and evaluation are demonstrated using a realistic geo-folksonomy data set. The resulting ontology is used to build user profiles from the folksonomy.  ...  In this work, an approach is proposed to analysing geo-folksonomies that builds on and extends existing statistical methods by considering specific concepts of relevance to geographic place resources,  ...  The model then serves as a base for a framework that follows a geographically-oriented approach to discovering semantics from folksonomies.  ... 
doi:10.1080/13658816.2014.894194 fatcat:4tmjuqnmpnb7jkiscvazl5wed4
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