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Mining social semantics on the social web

Andreas Hotho, Robert Jäschke, Kristina Lerman, Andreas Hotho, Robert Jäschke, Kristina Lerman
2017 Semantic Web Journal  
With the selected three contributions the special issue addresses only a small fraction of the overall topic of Mining Social Semantics on the Social Web, but we hope that you will enjoy reading it.  ...  The rich data provided by the social web can be used to build the semantic web.  ... 
doi:10.3233/sw-170272 fatcat:tn4i46l43faixbxa6q7zkpa3la

Mining social networks and their visual semantics from social photos

Michel Crampes, Michel Plantié
2011 Proceedings of the International Conference on Web Intelligence, Mining and Semantics - WIMS '11  
But there has been little research about the possibility that social photos carry some implicit social information and about the capacity to use this information for mining social data.  ...  citation on the first page.  ...  EXPERIMENTATION: MINING A WEDDING SOCIAL NETWORK AND ITS SEMANTICS In this section we apply the three types of forces onto a corpus of social photos and analyze the results to open up semantic issues.  ... 
doi:10.1145/1988688.1988746 dblp:conf/wims/CrampesP11 fatcat:njxa543fabbrzldnfsoedogjzm

Semantic Mining of Social Networks

Jie Tang, Juanzi Li
2015 Synthesis Lectures on the Semantic Web Theory and Technology  
˛L/: G D .V; E/ .e ij ; r ij ; number of nodes in the social network M number of edges in the social network T number of topics V the set of nodes in the social network E the set of edges v i a single  ...  node y z i node-v i 's representative on topic z y i the hidden vector of representatives for all topics on node v i θ z i the probability for topic z to be generated by the node v i e st an edge connecting  ... 
doi:10.2200/s00629ed1v01y201502wbe011 fatcat:3gzejuyoknhzfbtqomgwyeyuq4

A correlation analysis of web social media

Konstantinos N. Vavliakis, Konstantina Gemenetzi, Pericles A. Mitkas
2011 Proceedings of the International Conference on Web Intelligence, Mining and Semantics - WIMS '11  
For each of the three websites, we select five fundamental factors appearing in all content centered Web Social Media and we use regression analysis to calculate their correlation.  ...  These causality laws are useful for boosting the user participation in social media.  ...  INTRODUCTION A key factor for the success of the so-called Web Social Media (WSM) is that they allow users to form virtual communities, actively participate in the content creation and publication process  ... 
doi:10.1145/1988688.1988752 dblp:conf/wims/VavliakisGM11 fatcat:kp62xji4dzhannauund5tniezm

Managing social overlay networks in semantic open enterprise systems

Florian Skopik, Daniel Schall, Schahram Dustdar
2011 Proceedings of the International Conference on Web Intelligence, Mining and Semantics - WIMS '11  
In contrast to Semantic Web technologies that cover interactions between (technical) services, human collaborations emerge based on social preferences. Social networks have become a mass phenomenon.  ...  In this paper, we discuss the concept of social overlays for Web service based collaboration infrastructures.  ...  Acknowledgments This work was supported by the European Union FP7 projects COIN (216256) and SM4ALL (224332). The authors like to thank STI Innsbruck for support regarding WSMO, WSML and WSMX.  ... 
doi:10.1145/1988688.1988747 dblp:conf/wims/SkopikSD11 fatcat:wcysn6ngpvczbhgky3r6fi377m

Open social learning communities

Ashwin Ram, Hua Ai, Preetha Ram, Saurav Sahay
2011 Proceedings of the International Conference on Web Intelligence, Mining and Semantics - WIMS '11  
With the advent of open education resources, social networking technologies and new pedagogies for online and blended learning, we are in the early stages of a significant disruption in current models  ...  The disruption is fueled by a staggering growth in demand. Open Social Learning systems open a new venue for self-motivated learners to access high quality learning materials.  ...  SOCIAL LEARNING COMMUNITY The idea of social learning community grows out of the success of social communities powered by today's web 2.0 technology and social network services.  ... 
doi:10.1145/1988688.1988691 dblp:conf/wims/RamARS11 fatcat:bi6j33anrvcutgmi3d47v3qjoy

Mining events connections on the social web: Real-time instance matching and data analysis in EventMedia

Houda Khrouf, Vuk Milicic, Raphaël Troncy
2014 Journal of Web Semantics  
To this aim, we harness the power of Semantic Web technologies as means to easily steer the data integration and analysis.  ...  A significant amount of social calendars, media memes and background knowledge are daily created on various platforms, conveying event clues or past users experience.  ...  Acknowledgments This work was supported by the project AAL-2009-2-049 ''Adaptable Ambient Living Assistant'' (ALIAS) and the project ''Social Annotations and eXperiences'' (S-MAX).  ... 
doi:10.1016/j.websem.2014.02.003 fatcat:ulfpvo3lkjajtfksfyyogok7uq

Intelligent social networks

Miguel Doctor, Ángel Moreno, Pablo Muñoz, Daniel Díaz, María Dolores R-Moreno
2011 Proceedings of the International Conference on Web Intelligence, Mining and Semantics - WIMS '11  
The potential benefits have generated the need to be the first one to achieve an enough level of autonomy to provide customized services for both users and product providers.  ...  Personal homepages, blogs or virtual communities have contributed to the birth of the Social Networks.  ...  Web Patterns and Social Ecosystems We have already found simpler forms of social organizations on the Web (or Web communities) before the eruption of social networks.  ... 
doi:10.1145/1988688.1988768 dblp:conf/wims/DoctorMMDR11 fatcat:ttmtoijspfaitaehuvzxwhlrsy

Physical cyber social computing for human experience

Amit Sheth, Pramod Anantharam
2013 Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics - WIMS '13  
Traditionally, computing has focused on a single narrow view of the problem to provide solutions ignoring the essential human experience component.  ...  The availability of low-cost sensors and mobile devices leading to simultaneous and continuous access to events spanning physical, cyber, and social worlds demands rethinking of the traditional computational  ...  ACKNOWLEDGMENTS Much of the work discussed here results from the work of our Semantic Sensor Web team, of which Cory Henson and Prof. T.K. Prasad are an integral part.  ... 
doi:10.1145/2479787.2479865 dblp:conf/wims/ShethA13 fatcat:yx5ebb5yh5eqjjwdgti6lruyl4

Measuring profile distance in online social networks

Niklas Lavesson, Henric Johnson
2011 Proceedings of the International Conference on Web Intelligence, Mining and Semantics - WIMS '11  
Online Social Networks (OSNs) provide new ways for people to communicate with one another and to share content.  ...  This paper addresses several important security and privacy issues by focusing on one of the core concepts of OSNs; the user profile, which both includes private and public information that the user shares  ...  Everyone on the web.  ... 
doi:10.1145/1988688.1988744 dblp:conf/wims/LavessonJ11 fatcat:rlqdr6shwncmpe22l3gcfupvlq

Towards a Framework for Social Semiotic Mining

Eirini Giannakidou, Athena Vakali, Nikolaos Mavridis
2014 Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14) - WIMS '14  
In Proceedings of the 17th international conference on World Wide Web (WWW '08). ACM, New York • Anastasia Stampouli, Eirini Giannakidou, and Athena Vakali. 2010.  ...  Towards a Framework for Social Semiotic Mining ) Examination of second level relationships (taking into account entities in two vertices) ) Extension of the semiotic triangle across multiple  ... 
doi:10.1145/2611040.2611087 dblp:conf/wims/GiannakidouVM14 fatcat:yekvzidtpzbw3onzcvzwbyu7ka

U-Sem: Semantic Enrichment, User Modeling and Mining of Usage Data on the Social Web [article]

Fabian Abel, Ilknur Celik, Claudia Hauff, Laura Hollink, Geert-Jan Houben
2011 arXiv   pre-print
In this paper, we present the U-Sem people modeling service, a framework for the semantic enrichment and mining of people's profiles from usage data on the Social Web.  ...  With the growing popularity of Social Web applications, more and more user data is published on the Web everyday.  ...  This work is partially sponsored by the EU FP7 project ImREAL (  ... 
arXiv:1104.0126v1 fatcat:536mblgaj5gprf5lpdkfm6gery

Sentiment Analytics of Chinese Social Media Posts

Jinyan Chen, Susanne Becken, Bela Stantic
2018 Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics - WIMS '18  
The growing number of social media users and their posts provide valuable data about the sentiment that they have toward different services as well as people.  ...  In this work we propose and test method to identify sentiment in Chinese social media posts and to test our method we rely on posts sent by visitors of Great Barrier Reef by users of most popular Chinese  ...  We would also like to thank the Great Barrier Reef Marine Park Authority and CoralWatch for providing citizen science data for the purpose of this research.  ... 
doi:10.1145/3227609.3227680 dblp:conf/wims/ChenBS18 fatcat:eepe6dgcb5f2tlve2pvt6snfwq

A density-based approach for mining overlapping communities from social network interactions

Sajid Yousuf Bhat, Muhammad Abulaish
2012 Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics - WIMS '12  
Based on the average reciprocated interactions of a node in the network, a new distance function is defined to find the similarity between a pair of nodes.  ...  In this paper, we propose a density-based community detection method, CMiner, which exploits the interaction graph of online social networks to identify overlapping community structures.  ...  This work has been funded by the KACST under the NPST project number 11-INF1594-02.  ... 
doi:10.1145/2254129.2254143 dblp:conf/wims/BhatA12 fatcat:k3gakh4a3zdzzaolyqqfsfcywe

Semantically readable distributed representation learning for social media mining

Ikuo Keshi, Yu Suzuki, Koichiro Yoshino, Satoshi Nakamura
2017 Proceedings of the International Conference on Web Intelligence - WI '17  
Our experimental results demonstrated that weights obtained based on learning and weights based on the dictionary are more strongly correlated in a closed test and more weakly correlated in an open test  ...  A total of 52.4% of the top five weighted hidden nodes were related to tweets where one of the paragraph vector models learned the document embedding.  ...  ACKNOWLEDGMENTS The research results have been achieved by "Research and Development on Fundamental and Utilization Technologies for Social Big Data" the Commissioned Research of National Institute of  ... 
doi:10.1145/3106426.3106521 dblp:conf/webi/KeshiSYN17 fatcat:wflsmcboyfahncun5ngb6qyhp4
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