New Communication Strategies and the Future of Advertising Narration

2019 ◽  
pp. 333-340
Author(s):  
Murat Koçyiğit
Keyword(s):  
Social Media ◽  
Semantic Web ◽  
Web Applications ◽  
Communication Strategies ◽  
Online Media ◽  
Semantic Web Technologies ◽  
Web 3.0 ◽  
Social Media Platforms ◽  
Web Experience ◽  
The Web

Nowadays, almost all consumers use social media platforms. Therefore, many consumers share their brand-related experiences on online platforms. Social media platforms have changed the way consumers communicate. It offers consumers the opportunity to contribute to the debate. By means of online media, individuals are no longer just content consumers. Online media users are both content-producing and prosumer. Hence, the prosumer, which produces the content itself and consumes itself, provides the multiple uses in the mass market. It has a comprehensive impact on the purchasing decisions of other consumers. Developing and changing communication technologies are to provide the development of new communication strategies. Moreover, Web 3.0 technology, the third level on the Web, is used by semantic web consumers. Web 3.0 (semantic web) technologies combine information. Semantic Web improves the web experience and makes it more relevant to their search. Web 3.0 stands out with its ability to share meaning and run useful and entertaining web applications.

Towards Web 3.0

2010 ◽  
pp. 192-205 ◽  
Author(s):  
Tzanetos Pomonis ◽  
Dimitrios A. Koutsomitropoulos ◽  
Sotiris P. Christodoulou ◽  
Theodore S. Papatheodorou
Keyword(s):  
Semantic Web ◽  
Web 2.0 ◽  
Web Applications ◽  
Current Trend ◽  
Semantic Web Technologies ◽  
Web 3.0 ◽  
Web Technologies ◽  
Technological Limitations ◽  
Near Future ◽  
The Web

While the term Web 2.0 is used to describe the current trend in the use of Web technologies, the term Web 3.0 is used to describe the next generation Web, which will combine Semantic Web technologies, Web 2.0 principles, and artificial intelligence. Towards this perspective, in this work we introduce a 3-tier architecture for Web applications that will fit into the Web 3.0 definition. We present the fundamental features of this architecture, its components, and their interaction, as well as the current technological limitations. Furthermore, some indicative application scenarios are outlined in order to illustrate the features of the proposed architecture. The aim of this architecture is to be a step towards supporting the development of intelligent Semantic Web applications of the near future, as well as supporting the user collaboration and community-driven evolution of these applications.

scholarly journals A tool for tracking the propagation of words on Reddit

2021 ◽  
Vol 3 (1) ◽  
pp. 117-132
Author(s):  
Tom Willaert ◽  
Paul Van Eecke ◽  
Jeroen Van Soest ◽  
Katrien Beuls
Keyword(s):  
Social Media ◽  
Information Diffusion ◽  
Computational Social Science ◽  
Data Driven ◽  
Online Media ◽  
Online Tool ◽  
Online Social Media ◽  
Social Media Platforms ◽  
Over Time ◽  
The Web

Abstract The data-driven study of cultural information diffusion in online (social) media is currently an active area of research. The availability of data from the web thereby generates new opportunities to examine how words propagate through online media and communities, as well as how these diffusion patterns are intertwined with the materiality and culture of social media platforms. In support of such efforts, this paper introduces an online tool for tracking the consecutive occurrences of words across subreddits on Reddit between 2005 and 2017. By processing the full Pushshift.io Reddit comment archive for this period (Baumgartner et al., 2020), we are able to track the first occurrences of 76 million words, allowing us to visualize which subreddits subsequently adopt any of those words over time. We illustrate this approach by addressing the spread of terms referring to famous internet controversies, and the percolation of alt-right terminology. By making our instrument and the processed data publically available, we aim to facilitate a range of exploratory analyses in computational social science, the digital humanities, and related fields.

Customer Relationship Management in Social and Semantic Web Environments

2012 ◽  
pp. 83-92
Author(s):  
Ángel García-Crespo ◽  
Ricardo Colomo-Palacios ◽  
Juan Miguel Gómez-Berbís ◽  
Fernando Paniagua Martín
Keyword(s):  
Semantic Web ◽  
Customer Relationship Management ◽  
Dynamic Environment ◽  
Relationship Management ◽  
Customer Relationship ◽  
Semantic Web Technologies ◽  
Web 3.0 ◽  
Web Technologies ◽  
The Social ◽  
The Web

The growing influence of the Internet in current 21st-century everyday life has implied a paradigm shift in terms of relationships between customers and companies. New interaction means in the Web 1.0 have undergone a dramatic change in quantity and quality with the advent of the so-called Web 2.0, the Social Web. The upcoming Web 3.0, the Semantic Web will also impact tremendously in how companies understand Customer Relationship Management (CRM). In this dynamic environment, the present work presents a combination of both Social and Semantic Web Technologies and their application in the particular field of CRM. Tool and technology analysis both prove the challenging opportunities for these cutting-edge innovation trends in the CRM domain.

Developing Rich Internet Applications as Social Sites on the Semantic Web

2013 ◽  
pp. 134-155 ◽  
Author(s):  
Jesús M. Hermida ◽  
Santiago Meliá ◽  
Andrés Montoyo ◽  
Jaime Gómez
Keyword(s):  
Semantic Web ◽  
Semantic Web Technologies ◽  
Internet Applications ◽  
Web 3.0 ◽  
Model Driven ◽  
Rich Internet Applications ◽  
External Sources ◽  
Speed Up ◽  
External Sources Of Knowledge ◽  
The Web

Current Web 2.0 applications, either social sites or Rich Internet Applications, share several problems of interoperability when interconnecting different systems. It is therefore complicated to reuse (or export) the information between sources. In this context, where the value belongs to the data, not the application, the use of Semantic Web technologies opens a way of resolution with mature and standard technologies, thus leading to the Web 3.0. This paper presents the application of Sm4RIA (Semantic Models for RIA), a model-driven design methodology that facilitates the development of semantic RIAs (SRIA), to the design of social network sites. The SRIA approach introduced herein combines the main advantages present in each of the current trends on the Web. In addition to these benefits, the application of a model-driven methodology can speed up the development process and simplify the reuse of external sources of knowledge.

Developing Rich Internet Applications as Social Sites on the Semantic Web

2011 ◽  
Vol 2 (4) ◽  
pp. 21-41 ◽  
Author(s):  
Jesús M. Hermida ◽  
Santiago Meliá ◽  
Andrés Montoyo ◽  
Jaime Gómez
Keyword(s):  
Semantic Web ◽  
Semantic Web Technologies ◽  
Internet Applications ◽  
Web 3.0 ◽  
Model Driven ◽  
Rich Internet Applications ◽  
External Sources ◽  
Speed Up ◽  
External Sources Of Knowledge ◽  
The Web

Current Web 2.0 applications, either social sites or Rich Internet Applications, share several problems of interoperability when interconnecting different systems. It is therefore complicated to reuse (or export) the information between sources. In this context, where the value belongs to the data, not the application, the use of Semantic Web technologies opens a way of resolution with mature and standard technologies, thus leading to the Web 3.0. This paper presents the application of Sm4RIA (Semantic Models for RIA), a model-driven design methodology that facilitates the development of semantic RIAs (SRIA), to the design of social network sites. The SRIA approach introduced herein combines the main advantages present in each of the current trends on the Web. In addition to these benefits, the application of a model-driven methodology can speed up the development process and simplify the reuse of external sources of knowledge.

A Semantic Framework for Touristic Information Systems

2014 ◽  
pp. 166-185
Author(s):  
Salvador Lima ◽  
José Moreira
Keyword(s):  
Relational Databases ◽  
Web Applications ◽  
Ad Hoc ◽  
Information Resources ◽  
Semantic Web Technologies ◽  
Semantic Framework ◽  
Layered Architecture ◽  
Description Framework ◽  
Automated Processes ◽  
The Web

The Web is a crucial means for the dissemination of touristic information. However, most touristic information resources are stored directly in Web pages or in relational databases that are accessible through ad-hoc Web applications, and the use of automated processes to search, extract and interpret information can hardly be implemented. The Semantic Web technologies, aiming at representing the background knowledge about Web resources in a computational way, can be an important contribution to the development of such automated processes. This chapter introduces the concept of touristic object, giving special attention to the representation of temporal, spatial, and thematic knowledge. It also proposes a three-layered architecture for the representation of touristic objects in the Web. The central part is the domain layer, defining a Semantic Model for Tourism (SeMoT) to describe concepts, relationships, and constraints using ontologies. The data layer supports the mapping of touristic information in relational databases into Resource Description Framework (RDF) virtual graphs following the SeMoT specification. The application layer deals with the integration of information from different data sources into a unified knowledge model, offering a common vocabulary to describe touristic information resources. Finally, we also show how to use this framework for planning touristic itineraries.

Evolving In Step or Poles Apart?

2015 ◽  
pp. 1307-1330
Author(s):  
Karolina Koc-Michalska ◽  
Darren G. Lilleker
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Comparative Studies ◽  
Communication Strategies ◽  
Online Communication ◽  
Parliamentary Elections ◽  
Sales Strategy ◽  
Social Media Platforms ◽  
Online Strategies ◽  
Web Cartography

Comparative studies are rare in the study of online communication campaigning. The authors chose two cases, Poland and France, to describe the two campaigns for the Parliamentary elections. Content analysis allowed the authors to detect online communication strategies and parties' attempt to reach different audiences. Web-cartography illustrates the parties' network connections. The authors find strong cross-country and resource-based differences for the more interactive and engaging features (Web 2.0), which are not that powerful for explaining audience-targeting strategies. Overall a sales strategy and a focus on marketing dominated over e-representation (exhibiting the parties' political record). In both countries social media platforms are well incorporated into online strategies. Facebook dominates in Poland, Twitter in France. Web cartography gives a counterintuitive picture of the Polish parties' network being much more personalized but also of more ghettoing within the supporting environment.

Web 3.0 and E-Learning

2015 ◽  
pp. 101-123 ◽  
Author(s):  
Amit Chauhan
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Learning Goals ◽  
Learning Behavior ◽  
Defining Moment ◽  
Web 3.0 ◽  
E Learning ◽  
Future Of Education ◽  
The Web

The annals of the Web have been a defining moment in the evolution of education and e-Learning. The evolution of Web 1.0 almost three decades ago has been a precursor to Web 3.0 that has reshaped education and learning today. The evolution to Web 3.0 has been synonymous with “Semantic Web” or “Artificial Intelligence” (AI). AI makes it possible to deliver custom content to the learners based on their learning behavior and preferences. As a result of these developments, the learners have been empowered and have at their disposal a range of Web tools and technology powered by AI to pursue and accomplish their learning goals. This chapter traces the evolution and impact of Web 3.0 and AI on e-Learning and its role in empowering the learner and transforming the future of education and learning. This chapter will be of interest to educators and learners in exploring techniques that improve the quality of education and learning outcomes.

Web 3.0 and E-Learning

2016 ◽  
pp. 41-62
Author(s):  
Amit Chauhan
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Learning Goals ◽  
Learning Behavior ◽  
Defining Moment ◽  
Web 3.0 ◽  
E Learning ◽  
Future Of Education ◽  
The Web

The annals of the Web have been a defining moment in the evolution of education and e-Learning. The evolution of Web 1.0 almost three decades ago has been a precursor to Web 3.0 that has reshaped education and learning today. The evolution to Web 3.0 has been synonymous with “Semantic Web” or “Artificial Intelligence” (AI). AI makes it possible to deliver custom content to the learners based on their learning behavior and preferences. As a result of these developments, the learners have been empowered and have at their disposal a range of Web tools and technology powered by AI to pursue and accomplish their learning goals. This chapter traces the evolution and impact of Web 3.0 and AI on e-Learning and its role in empowering the learner and transforming the future of education and learning. This chapter will be of interest to educators and learners in exploring techniques that improve the quality of education and learning outcomes.

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