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Innovative Applications and Security of Internet of Things

Hung-Yu Chien, YingJiu Li, Nai-Wei Lo
2014 International Journal of Distributed Sensor Networks  
One potential application is integrating social networks with IoT, which results in the social Internet of things (SIoT).  ...  NFC technique with context-acquisition, ontology-knowledgebase, and semanticadaptation modules, a credit-based incentive scheme to encourage social cooperation and to recommend relevant services.  ...  One potential application is integrating social networks with IoT, which results in the social Internet of things (SIoT).  ... 
doi:10.1155/2014/717898 fatcat:c3qbxqphfbca7ch57awrg6vzeq

Semantically-enhanced advertisement recommender systems in social networks

Ali Pazahr, J. Javier Samper Zapater, Francisco García Sánchez, Carmen Botella, Rafael Martinez
2016 Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services - iiWAS '16  
This Thesis is included in the Spanish MINECO project ''Radio Access Technologies for Heterogeneous Wireless Networks'' (RACHEL TEC2013-47141-C4-4-R).  ...  Semantically-enhanced advertisement recommender systems in social networks.  ...  Accordingly, we have to establish advertisement recommendation system in our social networks.  ... 
doi:10.1145/3011141.3011489 dblp:conf/iiwas/PazahrZSBM16 fatcat:oi4kf355ovhkvl3wckpzfjajsu

Survey on Web Mining Techniques and Challenges of E-commerce in Online Social Networks

K. N. Asha, R. Rajkumar
2016 Indian Journal of Science and Technology  
Online Recommendation is being used by many shopping websites. Recommendation should be done based on the user's interest on items. Hence recommender system should provide the currents needs of user.  ...  Thus this system should be based on user's navigational patterns 6, 7 . Using Web usage mining there are many different ways through which a recommender system can be created,  ...  This type of influence/advertisement is referred to as social influence or viral marketing. 4, 5 Users in social networks and their relations with other user in the social network should be analysed using  ... 
doi:10.17485/ijst/2016/v9i13/85481 fatcat:c4zip4na3zefji3vuwi3thbhau

Pinterest Board Recommendation for Twitter Users

Xitong Yang, Yuncheng Li, Jiebo Luo
2015 Proceedings of the 23rd ACM international conference on Multimedia - MM '15  
In order to associate contents from the two social media platforms, we propose to use MultiLabel classification to map Twitter user followees to pinboard topics and visual diversification to recommend  ...  Regardless of its significance, there is little previous work specifically to facilitate information discovery based on pinboards.  ...  Cross network analysis aims to merge social signals from different network to increase online social media platform engagement.  ... 
doi:10.1145/2733373.2806375 dblp:conf/mm/YangLL15 fatcat:i4xmaqpdqnczjapnxoafll7yva

Framework for NFC-Based Intelligent Agents: A Context-Awareness Enabler for Social Internet of Things

Chih-Hao Lin, Pin-Han Ho, Hong-Chuan Lin
2014 International Journal of Distributed Sensor Networks  
The resultant social-advertising system shows that this framework can support a wide-range of different functionalities and is indispensable to an NFC-based intelligent agent for social Internet of things  ...  By developing a complete ontology knowledgebase, the proposed framework can incorporate with social-cooperation schemes to recommend relevant services for supporting reactive action, proactive achievement  ...  In Section 5, a credit-based incentive scheme is proposed to incorporate with a social advertising system to encourage social cooperation. Several ontology models are proposed for the system.  ... 
doi:10.1155/2014/978951 fatcat:i36tdp2lwjhz3orzugnbqsgnxe

Social Trust Based Semantic Tourism Recommender System: A Case of Medical Tourism in Tunisia

Mohamed Frikha, Mohamed Mhiri, Faiez Gargouri
2017 European Journal of Tourism Research  
We propose to integrate the temporal factor in measuring trust between social network friends. A Trusted Friend's calculation method is developed for determining social trusted friends in Facebook.  ...  Afterwards, we have used this method in a semantic tourism recommender system as a smart e-tourism tool able to recommend items based on the users' preferences and their trusted friends' preferences.  ...  The quality of the recommendation can be guaranteed based on the help of user interpersonal interests in a social network.  ... 
doi:10.54055/ejtr.v17i.294 fatcat:zh4udp3v5ne2ncaf2zaxeazvg4

A social network approach in Semantic Web Services Selection using Follow the Leader behavior

Jebrin Al-Sharawneh, Mary-Anne Williams
2009 2009 13th Enterprise Distributed Object Computing Conference Workshops  
tool for studying social network behavior and evolution.  ...  The framework proposes two new ontologies integrated in a recommender system, which guides a user to select the best service that matches their requirements and preferences.  ...  In this paper we combine semantic, recommendation and social network techniques to capture user preferences and matching.  ... 
doi:10.1109/edocw.2009.5331986 dblp:conf/edoc/Al-SharawnehW09 fatcat:e5j672flp5emjk3cyckqbla6g4

Taldea a Spontaneous Community-aware Application in Pervasive Environment

Ghada Ben Nejma, Philippe Roose, Marc Dalmau, Jérôme Gensel, Mohamed Amine Ghorbali
2014 Procedia Computer Science  
The field of temporary social network has grown quickly in the last years giving the user a social spontaneous experience.  ...  It provides multiple services in order to satisfy the needs of users gathered by a common interest or purpose.  ...  One of our challenges is to build our application Taldea on a set of standards that are developed by the W3C in order to describe formally a community. • A location-based social network services: means  ... 
doi:10.1016/j.procs.2014.10.039 fatcat:grbys3s6rffgjgi7ftkqz65uaq

Agent-Based Semantic Service Discovery for Healthcare: An Organizational Approach

Cesar Caceres, Alberto Fernandez, Sascha Ossowski, Matteo Vasirani
2006 IEEE Intelligent Systems  
The operator then recommends that Frans visit the nearest healthcare center participating in the CASCOM network.  ...  A partial representation of the interaction-type ontology. Figure 4 .Figure 5 . 45 Figure 4. A role-based (a) service advertisement and (b) service request for a secondopinion service.  ...  He's completing his PhD thesis in e-health, where his primary interests are disease modeling and evaluating how telemedicine affects the care of chronic patients.  ... 
doi:10.1109/mis.2006.107 fatcat:lbspx2dl2jbadi5bo222iapeum

Dynamic Personalisation of Media Content

Benedita Malheiro, Jeremy Foss, Juan C. Burguillo, Ana Peleteiro, Fernando A. Mikic
2011 2011 Sixth International Workshop on Semantic Media Adaptation and Personalization  
The idea is to adapt in near real time the content of a video stream to the viewer's profile.  ...  e-brokerage platform, to support the dynamic selection of the content to be inserted in the video stream of each viewer.  ...  video streams, Internet browsing activity, social networking, etc.  ... 
doi:10.1109/smap.2011.17 dblp:conf/smap/MalheiroFBPM11 fatcat:oajtgi36dvdx7c35xojlbofdl4

Aposentu: A Social Semantic Platform for Hotels

Gavina Baralla, Simona Ibba, Riccardo Zenoni
2017 Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
By using semantic tools, sentiment analysis, complex network metrics, the platform will allow the hoteliers to become more competitive in the tourism industry.  ...  The platform will be cloud computing technology based and it will show a proper dashboard with a lot of innovative functionalities.  ...  The system will consist of four components: • a social semantic tool to organize tourist and accommodation terminology in a semantic way; • a contextual advertising module connected with social networks  ... 
doi:10.5220/0006511702690274 dblp:conf/ic3k/BarallaIZ17 fatcat:wn5nizn4ifeo7ptgfuspwkpaji

A Study on Web usage Data Mining in Online Sales and SASF Crawler in Online Advertisement

M. Anisha, P. Joyce
2015 International Journal of Computer Applications  
When online users need to retrieve information while doing online sales, then the ease of use depends on the frequency of the items that are available in the product recommendations.  ...  In the world of Internet, users always expects the services, provided by the service providers must be easy to access.  ...  Collaborative or social based filtering recommends the items based on the review of others user, usually by user's ratings [3, 4] .  ... 
doi:10.5120/ijca2015907070 fatcat:ao74ztoro5d7fmwmpkg5xs7xhq

Understanding and Predicting Human Behavior for Social Communities [chapter]

Jose Simoes, Thomas Magedanz
2010 Handbook of Social Network Technologies and Applications  
These models could be object oriented, ontological, rule based, logic based, based on semantic graphs or fuzzy logic sets.  ...  The Technologies Social Networks Humans in all cultures at all times form complex social networks; the term social network here means ongoing relations among people that matter to those engaged in the  ... 
doi:10.1007/978-1-4419-7142-5_20 fatcat:ftl4tkd565e2xe6vxcqotafrum

Enhancing Location-Based Social Media Network Services with Semantic Technologies: A Review

Olayinka Adeleye, Opeyemi Ajibola, Precious Odiase
2017 FUOYE Journal of Engineering and Technology  
Location-based social media application can now recommend point of interest to users based on geographical information and user's profile gatheredon social media networks.  ...  location-based social media services.  ...  world commercial location-based social network.  ... 
doi:10.46792/fuoyejet.v2i1.50 fatcat:3w7rfefp3ndrvnfbnxsrnb37pi

Importance of Domain Knowledge in Web Recommender Systems

Saloni Aggarwal, Veenu Mangat
2015 International Journal of Computer Applications  
Modern recommender systems employ semantic knowledge base i.e. domain knowledge in addition to web usage mining for efficient prediction of pages as this helps in avoiding the new page problem.  ...  Web usage mining alone is used in traditional recommender systems.  ...  Today the most extensive usage of web mining is in the field of social networks.  ... 
doi:10.5120/ijca2015906643 fatcat:zh5dnkmefnf33aj3fgu3zqglze
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