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Scalable semantic analytics on social networks for addressing the problem of conflict of interest detection

Boanerges Aleman-Meza, Meenakshi Nagarajan, Li Ding, Amit Sheth, I. Budak Arpinar, Anupam Joshi, Tim Finin
2008 ACM Transactions on the Web  
In this article, we demonstrate the applicability of semantic techniques for detection of Conflict of Interest (COI).  ...  We explain the common challenges involved in building scalable Semantic Web applications, in particular those addressing connecting-the-dots problems.  ...  We also introduced semantic analytics techniques to address the problem of COI detection and described our experiences in the context of a class of Semantic Web applications where COI was a simple yet  ... 
doi:10.1145/1326561.1326568 fatcat:o42pa4gffnbo5osfjrv326l6qa

Foreword to the Special Issue: "Semantics for Big Data Integration"

Domenico Beneventano, Maurizio Vincini
2019 Information  
In recent years, a great deal of interest has been shown toward big data. Much of the work on big data has focused on volume and velocity in order to consider dataset size.  ...  Indeed, the problems of variety, velocity, and veracity are equally important in dealing with the heterogeneity, diversity, and complexity of data, where semantic technologies can be explored to deal with  ...  Conflicts of Interest: The authors declare no conflict of interest. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.  ... 
doi:10.3390/info10020068 fatcat:whjdf63ypzb7joy62mrb2ft7xa

Semantic analytics on social networks

Boanerges Aleman-Meza, Meenakshi Nagarajan, Cartic Ramakrishnan, Li Ding, Pranam Kolari, Amit P. Sheth, I. Budak Arpinar, Anupam Joshi, Tim Finin
2006 Proceedings of the 15th international conference on World Wide Web - WWW '06  
In this paper, we describe a Semantic Web application that detects Conflict of Interest (COI) relationships among potential reviewers and authors of scientific papers.  ...  This application discovers various 'semantic associations' between the reviewers and authors in a populated ontology to determine a degree of Conflict of Interest.  ...  We described how our approach for COI detection is based on semantic technologies techniques and provided an evaluation of its applicability using an integrated social network from the FOAF social network  ... 
doi:10.1145/1135777.1135838 dblp:conf/www/Aleman-MezaNRDKSAJF06 fatcat:qkii3fqt2fhj3d3aaeizfw5wke

A Survey on Challenges of Semantics Application in the Internet of Things Domain

Marina Harlamova, Mārīte Kirikova, Kurt Sandkuhl
2017 Applied Computer Systems  
In the present survey, the semantic technology challenges in the IoT domain are amalgamated to provide background for further studies in the use of semantic technologies in the IoT.  ...  However, while there are particular advancements in research on application of Semantic Web in the IoT domain, the dynamic and complex nature of the IoT often requires case specific solutions hard to be  ...  Some studies in the IoT domain address the rising problem of ensuring IoT scalability [21] . Using known P2P (peer-to-peer) methods for IoT systems promises good scalability possibilities [22] .  ... 
doi:10.1515/acss-2017-0002 fatcat:hhqj6u7tpng4bgsby3onrw72oq

A Survey on Visual Analytics of Social Media Data

Yingcai Wu, Nan Cao, David Gotz, Yap-Peng Tan, Daniel A. Keim
2016 IEEE transactions on multimedia  
The unprecedented availability of social media data offers substantial opportunities for data owners, system operators, solution providers and end users to explore and understand social dynamics.  ...  However, the exponential growth in the volume, velocity, and variability of social media data prevents people from fully utilizing such data.  ...  Interest in research on visual analytics of social media data has been increasing.  ... 
doi:10.1109/tmm.2016.2614220 fatcat:o4nc5eutpfhrplo4joa45dxbnq

ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment

Radu Prodan, Nishant Saurabh, Zhiming Zhao, Kate Orton-Johnson, Antorweep Chakravorty, Aleksandar Karadimce, Alexandre Ulisses
2019 Zenodo  
It aims to: (1) simplify the creation of open and agile social media ecosystem with trusted participation using a two stage permissioned blockchain; (2) automatically detect interest groups and communities  ...  The ARTICONF project funded by the European Horizon 2020 program addresses issues of trust, time-criticality and democratisation for a new generation of federated infrastructure, to fulfil the privacy,  ...  Moreover, SMART utilizes semantic links in SLN through graph anonymisation [9] heuristics capable of detecting relevant interest group and communities without violating users privacy and anonymity.  ... 
doi:10.5281/zenodo.3580716 fatcat:rep63fbjdjaclchcbqcydocm6e

AIs 10 to Watch: The Future of AI

2018 IEEE Intelligent Systems  
Lately, I've been working on the dynamics of knowledge in social media, particularly on modeling the diffusion of beliefs in complex social networks.  ...  on Data Mining and IEEE/ACM's 2013 International Conference on Advances in Social Networks Analysis and Mining.  ... 
doi:10.1109/mis.2018.012001549 fatcat:mfx4dnb5lrgjbizilzh2anbcz4

Social networking data analysis tools & challenges

Androniki Sapountzi, Kostas E. Psannis
2018 Future generations computer systems  
To the best of our knowledge, this is the first attempt that illustrated the entire spectrum of social data networking analysis and their associated frameworks.  ...  The survey demonstrates challenges and future directions with a focus on text mining and the promising avenue of computational intelligence.  ...  Currently a large number of social media analytics tools focus on detecting emerging topics.  ... 
doi:10.1016/j.future.2016.10.019 fatcat:cqlp423pv5heplujb63qo7c6yq

Making sense of social media streams through semantics: A survey

Kalina Bontcheva, Dominic Rout
2014 Semantic Web Journal  
This paper defines five key research questions in this new application area, examined through a survey of state-of-the-art approaches for mining semantics from social media streams; user, network, and  ...  Using semantic technologies for mining and intelligent information access to social media is a challenging, emerging research area.  ...  The authors wish to thank Marta Sabou and Arno Scharl for the discussions on crowdsourcing and its role in semantic technologies research, as well as Diana Maynard for the discussions on opinion mining  ... 
doi:10.3233/sw-130110 fatcat:uytdbegs3ngcbpu62i4trrxjni

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing

Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
2020 IEEE Access  
YONGQIANG ZHAO (Member, IEEE) received the B.S. degree in automation and the M.S. and Ph.D. degrees in control theory and control engineering from Northwestern  ...  The article by Jiang et al., ''Factorization meets neural networks: A scalable and efficient recommender for solving the new user problem,'' proposes a scalable and efficient recommender to solve the new  ...  the auxiliary domain, which effectively addresses the small sample problem of microexpression recognition.  ... 
doi:10.1109/access.2020.3043060 fatcat:qbqk5f4ojvadlazhk2mc343sra

Modeling Analytical Streams for Social Business Intelligence

Indira Lanza-Cruz, Rafael Berlanga, María Aramburu
2018 Informatics  
This formalism relies on two main aspects: the semantic representation of facts via Linked Open Data and the support of OLAP-like multidimensional analysis models.  ...  The main advantages of this approach are the easy definition of on-demand social indicators, and the treatment of changing dimensions and metrics through streamed facts.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/informatics5030033 fatcat:g6p5evh4vvfpveje5rkxa7wwvy

Trends in big data analytics

Karthik Kambatla, Giorgos Kollias, Vipin Kumar, Ananth Grama
2014 Journal of Parallel and Distributed Computing  
us in addressing the massive datasets. • Discussion of software techniques currently employed and future trends to address the applications. a b s t r a c t One of the major applications of future generation  ...  In this article, we provide an overview of the stateof-the-art and focus on emerging trends to highlight the hardware, software, and application landscape of big-data analytics. (A.  ...  of content to social network users.  ... 
doi:10.1016/j.jpdc.2014.01.003 fatcat:2v52tvp4tff7xh3cma5gdnlxgq

The Rise of Big Data Science: A Survey of Techniques, Methods and Approaches in the Field of Natural Language Processing and Network Theory

Jeffrey Ray, Olayinka Johnny, Marcello Trovati, Stelios Sotiriadis, Nik Bessis
2018 Big Data and Cognitive Computing  
This article provides an overview of the current research efforts in Big Data science, with particular emphasis on its applications, as well as theoretical foundation.  ...  The continuous creation of data has posed new research challenges due to its complexity, diversity and volume. Consequently, Big Data has increasingly become a fully recognised scientific field.  ...  Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/bdcc2030022 fatcat:fdo7e5asvjbwlg2wibdc47mzzm

Web Analytics for Security Informatics

Kristin Glass, Richard Colbaugh
2011 2011 European Intelligence and Security Informatics Conference  
An enormous volume of security-relevant information is present on the Web, for instance in the content produced each day by millions of bloggers worldwide, but discovering and making sense of these data  ...  This paper considers the problem of exploring and analyzing the Web to realize three fundamental objectives: 1.) security-relevant information discovery; 2.) target situational awareness, typically by  ...  and trends, and presented an effective, scalable algorithm for detecting memes.  ... 
doi:10.1109/eisic.2011.66 dblp:conf/eisic/GlassC11 fatcat:7gw736woknhhbgfvp42n7fg5me

Semantic Framework of Internet of Things for Smart Cities: Case Studies

Ningyu Zhang, Huajun Chen, Xi Chen, Jiaoyan Chen
2016 Sensors  
The proposed framework retrieves and models urban data for certain kinds of IoT applications based on semantic and machine-learning technologies.  ...  In this paper, we propose a semantic framework that integrates the IoT with machine learning for smart cities.  ...  Acknowledgments: This work is funded by the NSFC61070156, YB2013120143 of Huawei and Fundamental Research Funds for the Central Universities.  ... 
doi:10.3390/s16091501 pmid:27649185 pmcid:PMC5038774 fatcat:jet7b2i6evgtbl56zvhksoh22m
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