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Semantic Modelling of User Interests Based on Cross-Folksonomy Analysis [chapter]

Martin Szomszor, Harith Alani, Ivan Cantador, Kieron O'Hara, Nigel Shadbolt
2008 Lecture Notes in Computer Science  
In this paper, we present a method for the automatic consolidation of user profiles across two popular social networking sites, and subsequent semantic modelling of their interests utilising Wikipedia  ...  Results show that far richer interest profiles can be generated for users when multiple tag-clouds are combined.  ...  Acknowledgement This research has been supported by the TAGora project funded by the Future and Emerging Technologies program (IST-FET) of the European Commission under the  ... 
doi:10.1007/978-3-540-88564-1_40 fatcat:snnaojnnbne55ezedzisicm3fm

Analyzing Cross-System User Modeling on the Social Web [chapter]

Fabian Abel, Samur Araújo, Qi Gao, Geert-Jan Houben
2011 Lecture Notes in Computer Science  
of cross-system user modeling by means of aggregating the different profiles of a same user.  ...  Our evaluation shows that the cross-system user modeling strategies outperform other strategies significantly and have tremendous impact on the recommendation quality in cold-start settings where systems  ...  Tag-Based Profiles across Systems In the context of cross-system user modeling the overlap of tag-based profiles is of particular interest.  ... 
doi:10.1007/978-3-642-22233-7_3 fatcat:aaqbaxra3zeihevcf4225wg3my

Collaborative Semantic Structuring of Folksonomies

Freddy Limpens, Fabien Gandon, Michel Buffa
2009 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology  
This process is based upon our model of the assistance of folksonomies enrichment which supports conflictual points of view.  ...  The advent of tagging and folksonomies for organizing shared resources on the social Web brought promising opportunities to help communities of users capture their knowledge.  ...  Users will then be able to validate or correct the automatic inferences. This system is based on our model of semantic enrichment of folksonomies.  ... 
doi:10.1109/wi-iat.2009.26 dblp:conf/webi/LimpensGB09 fatcat:kkjvqgvdhrcuhhrqkkrpnljunu

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

Daniela Godoy, Alejandro Corbellini
2015 International Journal of Intelligent Systems  
This review aims at providing a comprehensive overview of the literature in the eld of folksonomy-based recommender systems.  ...  J Collaborative tagging systems, also known as folksonomies, have grown in popularity over the Web on account of their simplicity to organize several types of content (e.g.  ...  [96] propose a tag recommender based on the semantic analysis of a resource content as well as on the personal and collective tagging history.  ... 
doi:10.1002/int.21753 fatcat:ylf6d4a3ybdkpjrytblvgkvbuu

Social Bookmarking or Tagging [chapter]

Johann Stan, Pierre Maret
2018 Encyclopedia of Social Network Analysis and Mining  
on User-Generated Content, 110170 Semantic Social Networks Analysis, 381  ...  proposes a model based on tripartite hypergraphs, while Hotho et al. on triadic context (term used in formal concept analysis).  ... 
doi:10.1007/978-1-4939-7131-2_91 fatcat:5rruddljwfd53n6c64mc5hgoga

Social Bookmarking or Tagging [chapter]

Johann Stan, Pierre Maret
2016 Encyclopedia of Social Network Analysis and Mining  
on User-Generated Content, 110170 Semantic Social Networks Analysis, 381  ...  proposes a model based on tripartite hypergraphs, while Hotho et al. on triadic context (term used in formal concept analysis).  ... 
doi:10.1007/978-1-4614-7163-9_91-1 fatcat:shagyhxwkbekhowkrnz3bruhue

Ontology of Folksonomy: A New Modelling Method

Francisco Echarte, José Javier Astrain, Alberto Córdoba, Jesús E. Villadangos
2007 International Conference on Knowledge Capture  
The other one is simpler and it integrates heterogeneous contents, and it is based on the collaboration of users in the Web 2.0.  ...  In this paper we propose a method to model tagging systems like folksonomies using ontologies.  ...  Ontology Size Estimation Analysis Aiming at comparing our model with other ones based on ontologies, it is necessary to have some type of measure that allows us to estimate the amount of resources used  ... 
dblp:conf/kcap/EcharteACV07 fatcat:he5g3x7gtjbuxhy7qdc3ityl54

USEWOD2011

Bettina Berendt, Laura Hollink, Vera Hollink, Markus Luczak-Rösch, Knud Möller, David Vallet
2011 Proceedings of the 20th international conference companion on World wide web - WWW '11  
Conversely, usage data analysis can enhance semantic resources as well as Semantic Web applications. Traces of users can be used to evaluate, adapt or personalize Semantic Web applications.  ...  Now that more and more explicit knowledge is represented on the Web, the question arises how these semantics can be used to aid large scale web usage analysis and mining.  ...  It is also relevant for people working on log analysis and data mining from the perspective of Information Science, Human Computer Interaction and User Modeling.  ... 
doi:10.1145/1963192.1963324 dblp:conf/www/BerendtHHLMV11 fatcat:tmp7xg2apndwjl2etdta5ug3zi

A hybrid approach to item recommendation in folksonomies

Robert Wetzker, Winfried Umbrath, Alan Said
2009 Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval - ESAIR '09  
In this paper we consider the problem of item recommendation in collaborative tagging communities, so called folksonomies, where users annotate interesting items with tags.  ...  model which evolves from item user and item tag co-occurrences in parallel.  ...  In this paper we consider the problem of item recommenda-tion in large folksonomies. Our intent is to help folksonomy users discover new interesting items based on their item history.  ... 
doi:10.1145/1506250.1506255 fatcat:lk6ejnxo7bhy3lklfrxc6pikiq

Spatio-semantic user profiles in location-based social networks

Soha Mohamed, Alia I. Abdelmoty
2017 International Journal of Data Science and Analytics  
Knowledge of users' visits to places is one of the keys to understanding their interest in places.  ...  In this paper, semantic information is summarised as tags for places and a folksonomy data model is used to represent spatial and semantic relationships between users, places, and tags.  ...  Compliance with ethical standards Conflict of interest On behalf of all authors, the corresponding author states that there is no conflict of interest.  ... 
doi:10.1007/s41060-017-0059-9 dblp:journals/ijdsa/MohamedA17 fatcat:zuhztegzvfapzkhujqb5mvpbsm

Semantic Concept Based Retrieval of Software Bug Report with Feedback

Tao Zhang
2013 International Journal of Innovation Management and Technology  
The technique combines folksonomy, keyword and facet-based retrieval methods satisfying developers and users' need.  ...  In this paper we present a technique for semantic concept based retrieval of software bug report.  ...  In order to get rid of this disadvantage of folksonomy, we apply a semantic concept model to enhance semantic analysis. Our paper is organized as follow: Section II presents related work.  ... 
doi:10.7763/ijimt.2013.v4.421 fatcat:6gtea5ma3bcmvdzwil56scw2nq

Ontologies are Us: A Unified Model of Social Networks and Semantics

Peter Mika
2007 Social Science Research Network  
We illustrate ontology emergence by two case studies, an analysis of a large scale folksonomy system and a novel method for the extraction of community-based ontologies from Web pages.  ...  We demonstrate the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation.  ...  Community-based ontology extraction from Web pages Folksonomies such as del.icio.us are effective, because they attract sizeable sub-communities of users pursuing similar interests.  ... 
doi:10.2139/ssrn.3199347 fatcat:aqs2p2a4e5e7xjubqvwksz2pp4

Improving Tag-based Resource Recommendation with Association Rules on Folksonomies

Samia Beldjoudi, Hassina Seridi, Catherine Faron-Zucker
2011 International Semantic Web Conference  
We base upon association rules which are a powerful method for discovering interesting relationships among a large set of data on the web.  ...  Our objective is to enrich the profiles of folksonomy users with pertinent resources.  ...  We are intending to explore matrix factorization and latent semantic analysis.  ... 
dblp:conf/semweb/BeldjoudiSF11 fatcat:xykm3e3sffezrdmocalhzfct6q

Cross-system user modeling and personalization on the Social Web

Fabian Abel, Eelco Herder, Geert-Jan Houben, Nicola Henze, Daniel Krause
2012 User modeling and user-adapted interaction  
Based on these insights, we developed and evaluated the performance of several cross-system user modeling strategies in the context of recommender systems.  ...  Aggregated user data may be useful to address cold-start problems as well as sparse user profiles, but this depends on the nature of individual user profiles distributed on the Social Web.  ...  Cross-system User Modeling for Social Recommender Systems In the analysis of the previous section, we observed that cross-system user modeling produces profiles that reveal more information about a user  ... 
doi:10.1007/s11257-012-9131-2 fatcat:v64kebslujesjj6pwraab3twz4

Challenges in Bridging Social Semantics and Formal Semantics on the Web [article]

Fabien Lucien Gandon , Michel Buffa, Elena Cabrio (INRIA Sophia Antipolis / Laboratoire I3S), Catherine Faron-Zucker (INRIA Sophia Antipolis / Laboratoire I3S), Alain Giboin (INRIA Sophia Antipolis / Laboratoire I3S), Nhan Le Thanh , Isabelle Mirbel, Peter Sander, Andrea G. B. Tettamanzi (INRIA Sophia Antipolis / Laboratoire I3S), Serena Villata (INRIA Sophia Antipolis / Laboratoire I3S)
2014 arXiv   pre-print
The approaches introduced here rely on graph-oriented knowledge representation, reasoning and operationalization to model and support actors, actions and interactions in web-based epistemic communities  ...  This paper describes several results of Wimmics, a research lab which names stands for: web-instrumented man-machine interactions, communities, and semantics.  ...  The formalization of these models will rely on ontology-based modeling of users and communities starting with generalist schemas (e.g. FOAF).  ... 
arXiv:1408.7092v1 fatcat:ppdm5lkc55f5ln3dm6sadcbco4
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