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A Probabilistic Approach for Learning Folksonomies from Structured Data
[article]
2010
arXiv
pre-print
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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
2011
Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11
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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
2011
2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing
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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]
2011
arXiv
pre-print
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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
2018
International Journal for Research in Applied Science and Engineering Technology
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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
2013
2013 ACS International Conference on Computer Systems and Applications (AICCSA)
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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
2010
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '10
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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
2009
Proceedings of the 18th international conference on World wide web - WWW '09
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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]
2010
arXiv
pre-print
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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
2018
Journal of Engineering Science and Technology
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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
2011
Artificial Intelligence Review
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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]
2008
Lecture Notes in Computer Science
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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
2015
International Journal of Intelligent Systems
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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
2014
International Journal of Information Technology and Computer Science
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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
2014
International Journal of Geographical Information Science
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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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