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Social Media Perceptions And Usage By Generation Y And Relevant Marketing Implications, Irene J. Dickey, William F. Lewis 2010 University of Dayton

Social Media Perceptions And Usage By Generation Y And Relevant Marketing Implications, Irene J. Dickey, William F. Lewis

Management and Marketing Faculty Publications

One of the most common ways in which Internet users connect and network with each other is through "social media." Social media is the content that is provided and maintained by the user on a website. It is clear that social media such as Facebook and LinkedIn are becoming increasingly pervasive in the lives of students, professionals and consumers. A literature review, as well as the results from our survey, reveals that not only have social networks evolved rapidly during the last few years, but so too have consumers’ behaviors. Subsequently, marketing strategies and tactics, and the potential for practitioners …


Legal And Ethical Issues Associated With Employee Use Of Social Networks, Gundars Kaupins, Susan Park 2010 Boise State University

Legal And Ethical Issues Associated With Employee Use Of Social Networks, Gundars Kaupins, Susan Park

Management Faculty Publications and Presentations

Social networking sites such as Facebook and Twitter can help employees enhance a company’s marketing, recruiting, security, and safety. However, employee’s use of social networking sites and employers’ access of those sites can result in illegal and unethical behavior, such as discrimination and privacy invasions. Companies must gauge whether and how to rely upon employees’ use of personal social networking sites and how much freedom employees should have in using networks inside and outside of the companies. This research summarizes the latest legal and ethical issues regarding employee use of social networks and provides recommended corporate policies.


The Evolution (Revolution) Of Social Media And Social Networking As A Necessary Topic In The Marketing Curriculum: A Case For Integrating Social Media Into Marketing Classes, Irene J. Dickey, William F. Lewis 2010 University of Dayton

The Evolution (Revolution) Of Social Media And Social Networking As A Necessary Topic In The Marketing Curriculum: A Case For Integrating Social Media Into Marketing Classes, Irene J. Dickey, William F. Lewis

Management and Marketing Faculty Publications

This research first examines social media and social networks as a social phenomenon and its influence on marketing practice. Survey data and an extensive literature review reveal that not only have social networks evolved rapidly during the last few years, but so have social media, consumer behaviors, and subsequently, social media marketing tactics, which are increasingly being integrated into marketing programs. The authors explore the question of whether more time should be devoted to these topics and whether they should be incorporated into the marketing curriculum. This research provides important information, insights and recommendations for incorporating the topic of social …


Beyond Europe: Launching Digital Radio In Canada And Australia, Brian O'Neill 2010 Technological University Dublin

Beyond Europe: Launching Digital Radio In Canada And Australia, Brian O'Neill

Books/Book chapters

Eureka 147 was, as we have argued throughout this volume, a European technology designed within the very particular context of European public service broadcasting (see also Rudin 2006; O'Neill 2009). At the same time, the consortitum behind DAB technology had the ambition that Eureka 147 would become the world standard for digital radio. DAB was indeed the first such technological system to achieve standardisation at the European Telecommunications Standards Institute (ETSI), and be recommended as a global standard for digital terrestrial sound broadcasting by the International Telecommunications Union (ITU).


Radio Broadcasting In Europe: The Search For A Common Digital Future, Brian O'Neill, Helen Shaw 2010 Technological University Dublin

Radio Broadcasting In Europe: The Search For A Common Digital Future, Brian O'Neill, Helen Shaw

Books/Book chapters

Europe’s radio is also characterised by a long history of being defined and driven by the state, in highly centralized fashion in the case of countries such as France (Meadel 1994), or indeed in former totalitarian regimes of Eastern Europe (Paulu 1974), and along more federal or devolved lines in countries such as Germany, Switzerland and the Netherlands (Kuhn 1985). The development of state broadcasting monopolies in most European countries, established in the early years of the twentieth century following the invention of sound broadcasting, has ensured that there is an enduring shared common ideological approach to radio broadcasting, which …


Applying The “Contextual Integrity” Model Of Privacy To Personal Blogs In The Blogoshere, Frances Grodzinsky, Herman T. Tavani 2010 Sacred Heart University

Applying The “Contextual Integrity” Model Of Privacy To Personal Blogs In The Blogoshere, Frances Grodzinsky, Herman T. Tavani

School of Computer Science & Engineering Faculty Publications

In this paper, we analyze some controversial aspects of blogging and the blogosphere from the perspective of privacy. In particular, we focus on Helen Nissenbaum’s theory of privacy as “contextual integrity” and apply it to personal blogs, in general, and the case of the “Washingtonienne” blogger, in particular. We examine the question of whether personal blogs that are not password protected can be considered “normatively private contexts” according to Nissenbaum’s principles of privacy. We argue that they cannot. Using Nissenbaum’s original model, we conclude that privacy expectations for those who disclose personal information in such blogs are unrealistic. We also …


Provenance Context Entity (Pace): Scalable Provenance Tracking For Scientific Rdf Data, Satya S. Sahoo, Olivier Bodenreider, Pascal Hitzler, Amit P. Sheth, Krishnaprasad Thirunarayan 2010 Wright State University - Main Campus

Provenance Context Entity (Pace): Scalable Provenance Tracking For Scientific Rdf Data, Satya S. Sahoo, Olivier Bodenreider, Pascal Hitzler, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The Resource Description Framework (RDF) format is being used by a large number of scientific applications to store and disseminate their datasets. The provenance information, describing the source or lineage of the datasets, is playing an increasingly significant role in ensuring data quality, computing trust value of the datasets, and ranking query results. Current provenance tracking approaches using the RDF reification vocabulary suffer from a number of known issues, including lack of formal semantics, use of blank nodes, and application-dependent interpretation of reified RDF triples. In this paper, we introduce a new approach called Provenance Context Entity (PaCE) that uses …


Scale: A Scalable Framework For Efficiently Clustering Transactional Data, Hua Yan, Keke Chen, Ling Liu, Zhang Yi 2010 Wright State University - Main Campus

Scale: A Scalable Framework For Efficiently Clustering Transactional Data, Hua Yan, Keke Chen, Ling Liu, Zhang Yi

Kno.e.sis Publications

This paper presents SCALE, a fully automated transactional clustering framework. The SCALE design highlights three unique features. First, we introduce the concept of Weighted Coverage Density as a categorical similarity measure for efficient clustering of transactional datasets. The concept of weighted coverage density is intuitive and it allows the weight of each item in a cluster to be changed dynamically according to the occurrences of items. Second, we develop the weighted coverage density measure based clustering algorithm, a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Third, we introduce two clustering validation metrics and show that these domain …


Twitris 2.0 : Semantically Empowered System For Understanding Perceptions From Social Data, Ashutosh Sopan Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Anantharam, Ajith H. Ranabahu, Vinh Nguyen, Pablo N. Mendes, Alan Gary Smith, Michael Cooney, Amit P. Sheth 2010 Wright State University - Main Campus

Twitris 2.0 : Semantically Empowered System For Understanding Perceptions From Social Data, Ashutosh Sopan Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Anantharam, Ajith H. Ranabahu, Vinh Nguyen, Pablo N. Mendes, Alan Gary Smith, Michael Cooney, Amit P. Sheth

Kno.e.sis Publications

We present Twitris 2.0, a Semantic Web application that facilitates understanding of social perceptions by Semantics-based processing of massive amounts of event-centric data. Twitris 2.0 addresses challenges in large scale processing of social data, preserving spatio-temporal-thematic properties. Twitris 2.0 also covers context based semantic integration of multiple Web resources and expose semantically enriched social data to the public domain. Semantic Web technologies enable the systematic integration and analysis abilities.


Automated Isolation Of Translational Efficiency Bias That Resists The Confounding Effect Of Gc(At)-Content, Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer 2010 Wright State University - Main Campus

Automated Isolation Of Translational Efficiency Bias That Resists The Confounding Effect Of Gc(At)-Content, Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer

Kno.e.sis Publications

Genomic sequencing projects are an abundant source of information for biological studies ranging from the molecular to the ecological in scale; however, much of the information present may yet be hidden from casual analysis. One such information domain, trends in codon usage, can provide a wealth of information about an organism's genes and their expression. Degeneracy in the genetic code allows more than one triplet codon to code for the same amino acid, and usage of these codons is often biased such that one or more of these synonymous codons is preferred. Detection of this bias is an important tool …


Loqus: Linked Open Data Sparql Querying System, Prateek Jain, Kunal Verma, Peter Z. Yeh, Pascal Hitzler, Amit P. Sheth 2010 Wright State University - Main Campus

Loqus: Linked Open Data Sparql Querying System, Prateek Jain, Kunal Verma, Peter Z. Yeh, Pascal Hitzler, Amit P. Sheth

Kno.e.sis Publications

The LOD cloud is gathering a lot of momentum, with the number of contributors growing manifold. Many prominent data providers have submitted and linked their data to other dataset with the help of manual mappings. The potential of the LOD cloud is enormous ranging from challenging AI issues such as open domain question answering to automated knowledge discovery. We believe that there is not enough technology support available to effectively query the LOD cloud. To this effect, we present a system called Linked Open Data SPARQL Querying System (LOQUS), which automatically maps users queries written in terms of a conceptual …


Computing For The Human Experience: Semantics-Empowered Sensors, Services, And Social Computing On The Ubiquitous Web, Amit P. Sheth 2010 Wright State University - Main Campus

Computing For The Human Experience: Semantics-Empowered Sensors, Services, And Social Computing On The Ubiquitous Web, Amit P. Sheth

Kno.e.sis Publications

People are on the verge of an era in which the human experience can be enriched in ways they couldn't have imagined two decades ago. Rather than depending on a single technology, people progressed with several whose semantics-empowered convergence and integration will enable us to capture, understand, and reapply human knowledge and intellect. Such capabilities will consequently elevate our technological ability to deal with the abstractions, concepts, and actions that characterize human experiences. This will herald computing for human experience (CHE). The CHE vision is built on a suite of technologies that serves, assists, and cooperates with humans to nondestructively …


A Qualitative Examination Of Topical Tweet And Retweet Practices, Meenakshi Nagarajan, Hemant Purohit, Amit P. Sheth 2010 Wright State University - Main Campus

A Qualitative Examination Of Topical Tweet And Retweet Practices, Meenakshi Nagarajan, Hemant Purohit, Amit P. Sheth

Kno.e.sis Publications

This work contributes to the study of retweet behavior on Twitter surrounding real-world events. We analyze over a million tweets pertaining to three events, present general tweet properties in such topical datasets and qualitatively analyze the properties of the retweet behavior surrounding the most tweeted/viral content pieces. Findings include a clear relationship between sparse/dense retweet patterns and the content and type of a tweet itself; suggesting the need to study content properties in link-based diffusion models.


Linked Open Social Signals, Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi, Amit P. Sheth 2010 Wright State University - Main Campus

Linked Open Social Signals, Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi, Amit P. Sheth

Kno.e.sis Publications

In this paper we discuss the collection, semantic annotation and analysis of real-time social signals from micro-blogging data. We focus on users interested in analyzing social signals collectively for sensemaking. Our proposal enables flexibility in selecting subsets for analysis, alleviating information overload. We define an architecture that is based on state-of-the-art Semantic Web technologies and a distributed publish subscribe protocol for real time communication. In addition, we discuss our method and application in a scenario related to the health care reform in the United States.


Provenance Aware Linked Sensor Data, Harshal Kamlesh Patni, Satya S. Sahoo, Cory Andrew Henson, Amit P. Sheth 2010 Wright State University - Main Campus

Provenance Aware Linked Sensor Data, Harshal Kamlesh Patni, Satya S. Sahoo, Cory Andrew Henson, Amit P. Sheth

Kno.e.sis Publications

Provenance, from the French word “provenir”, describes the lineage or history of a data entity. Provenance is critical information in the sensors domain to identify a sensor and analyze the observation data over time and geographical space. In this paper, we present a framework to model and query the provenance information associated with the sensor data exposed as part of the Web of Data using the Linked Open Data conventions. This is accomplished by developing an ontology-driven provenance management infrastructure that includes a representation model and query infrastructure. This provenance infrastructure, called Sensor Provenance Management System (PMS), is …


Getting Code Near The Data: A Study Of Generating Customized Data Intensive Scientific Workflows With Domain Specific Language, Ashwin Manjunatha, Ajith Harshana Ranabahu, Paul E. Anderson, Amit P. Sheth 2010 Wright State University - Main Campus

Getting Code Near The Data: A Study Of Generating Customized Data Intensive Scientific Workflows With Domain Specific Language, Ashwin Manjunatha, Ajith Harshana Ranabahu, Paul E. Anderson, Amit P. Sheth

Kno.e.sis Publications

The amount of data produced in modern biological experiments such as Nuclear Magnetic Resonance (NMR) analysis far exceeds the processing capability of a single machine. The present state-of-the-art is taking the ”data to code”, the philosophy followed by many of the current service oriented workflow systems. However this is not feasible in some cases such as NMR data analysis, primarily due to the large scale of data.

The objective of this research is to bring ”code to data”, preferred in the cases when the data is extremely large. We present a DSL based approach to develop customized data intensive scientific …


A Study In Hadoop Streaming With Matlab For Nmr Data Processing, Kalpa Gunaratna, Paul E. Anderson, Ajith Harshana Ranabahu, Amit P. Sheth 2010 Wright State University - Main Campus

A Study In Hadoop Streaming With Matlab For Nmr Data Processing, Kalpa Gunaratna, Paul E. Anderson, Ajith Harshana Ranabahu, Amit P. Sheth

Kno.e.sis Publications

Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven scientific applications. Our approach presented here is to use Cloud computing for Nuclear Magnetic Resonance (NMR)data analysis which normally consists of large amounts of data. Biologists often use third party or commercial software for ease of use. Enabling the capability to use this kind of software in a Cloud will be highly advantageous in many ways. Scripting languages especially designed for clouds may not have the flexibility biologists need for their purposes. Although this is true, they are familiar with special software packages that allow …


Power Of Clouds In Your Pocket: An Efficient Approach For Cloud Mobile Hybrid Application Development, Ashwin Manjunatha, Ajith Harshana Ranabahu, Amit P. Sheth, Krishnaprasad Thirunarayan 2010 Wright State University - Main Campus

Power Of Clouds In Your Pocket: An Efficient Approach For Cloud Mobile Hybrid Application Development, Ashwin Manjunatha, Ajith Harshana Ranabahu, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices as well as seemingly unlimited, utility style, pay as you go computing resources, commonly referred to as Cloud computing. However, taking full advantage of this mobile and cloud computing landscape, especially for the data intensive domains has been hampered by the many heterogeneities that exist in the mobile space as well as the Cloud space. Our research focuses on exploiting the capabilities of the mobile and cloud landscape by defining a new class of applications called cloud mobile hybrid (CMH) applications and a Domain Specific …


Semantics Centric Solutions For Application And Data Portability In Cloud Computing, Ajith Harshana Ranabahu, Amit P. Sheth 2010 Wright State University - Main Campus

Semantics Centric Solutions For Application And Data Portability In Cloud Computing, Ajith Harshana Ranabahu, Amit P. Sheth

Kno.e.sis Publications

Cloud computing has become one of the key considerations both in academia and industry. Cheap, seemingly unlimited computing resources that can be allocated almost instantaneously and pay-as-you-go pricing schemes are some of the reasons for the success of Cloud computing. The Cloud computing landscape, however, is plagued by many issues hindering adoption. One such issue is vendor lock-in, forcing the Cloud users to adhere to one service provider in terms of data and application logic. Semantic Web has been an important research area that has seen significant attention from both academic and industrial researchers. One key property of Semantic Web …


Continuous Semantics To Analyze Real-Time Data, Amit P. Sheth, Christopher Thomas, Pankaj Mehra 2010 Wright State University - Main Campus

Continuous Semantics To Analyze Real-Time Data, Amit P. Sheth, Christopher Thomas, Pankaj Mehra

Kno.e.sis Publications

Increasingly we are presented with dynamic domains involved in social, mobile, and sensor webs. Such domains are spontaneous (arising suddenly), follow a period of rapid evolution, involving real-time or near real-time data, involve many distributed participants and diverse viewpoints involving topical or contentious subjects, and involve feature context colored by local knowledge and sociocultural backgrounds. This article present continuous semantics can help us model such dynamic domains and analyze the related real-time data. Capabilities include crating dynamic domain model by mining social data, and using dynamic models for semantic analysis of real-time data.


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