scholarly journals Convergence of Web 2.0 and SOA: Taking Advantage of Web Services to Implement a Multimodal Social Networking System

Author(s):  
Stan Kurkovsky ◽  
David Strimple ◽  
Eric Nuzzi ◽  
Kerry Verdecchia
Author(s):  
José Fernando López Quintero ◽  
Juan Manuel Cueva Lovelle ◽  
Begoña Cristina Pelayo García-Bustelo ◽  
Carlos Enrique Montenegro Marín

Este artículo describe el desarrollo de una arquitectura funcional orientada a la Gestión de Conocimiento Personal (GCP), definido desde el concepto de las lecciones aprendidas que se registran en una red social de uso masivo. Esta arquitectura funcional aplica de forma práctica la implementación de un sistema de registro de las lecciones aprendidas personales, en la nube a través de una red social Facebook. El proceso inicia con la adquisición de datos a partir de la conexión a una base de datos no relacional (NoSql) en SimpleDB de Amazon Web Services y a la cual se le ha configurado un algoritmo de análisis complementario para realizar el análisis semántico de la información registrada de las lecciones aprendidas y de esta forma estudiar la generación de Gestión de Conocimiento Organizacional (GCO) desde GCP. El resultado final es el diseño de una arquitectura funcional que permite integrar la aplicación web 2.0 y un algoritmo de análisis semántico a partir de información no estructurada aplicando técnicas de aprendizaje de máquina.Palabras Claves: Gestión de conocimiento, gestión de conocimiento personal, lecciones aprendidas, análisis semántico, computación en la nube, redes sociales, aprendizaje de máquina.This paper shows the development of a functional architecture oriented Personal Knowledge Management (PKM), defined from the concept of lessons learned that are registered in a social network for mass use. This functional architecture applied in a practical implementation of a registration system for personal lessons learned in the cloud through a social network Facebook. The process begins with the acquisition of data from the connection to a non-relational database (NoSQL) in SimpleDB of Amazon Web Services and which you have set up a complementary analysis algorithm for semantic analysis of information recorded lessons learned and thus study the generation of Organizational Knowledge Management (OKM) from PKM. The final result is the design of a functional architecture that enables web 2.0 application integration and semantic analysis of an algorithm from unstructured information using machine learning techniques.Keywords: Management of knowledge, management of personal knowledge, lessons learned, semantic analysis, computing in the cloud, social networks.


This study attempts to the Web 2.0 Social Networking Sites for Collaborative Sharing Research Information by the Social Science Research Scholars at Alagappa University, Karaikudi. A sample size 97 Scholars was selected by random sampling method. The data required for the study were collected through a questionnaire. The findings of the study: 30.9% of the respondents using Facebook/ WhatsApp along with most highly used in the popular web browser used for Google chrome 72.2% Google chrome. 48.5% of respondents’ preference of “Very Strongly Agree” Collaborate with Research projects and Teams. Whereas 46.4% “Research Collaboration “Strongly agree” of the respondents respectively. 30.9% purpose of Web 2.0 for Collaborations of Research Communication while 19.6% Opportunities and Learning for Web 2.0 tools support social interaction in the learning process of the respondents respectively.


Telos ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. 643-660
Author(s):  
Rigo Grimaldos Olmos ◽  
Anny Paz Baptista

This investigation aimed to determine the use of web 2.0 services in the Catholic University Cecilio Acosta (UNICA) site by the institution, located in Maracaibo city, Venezuela. The theoretical contributions were supported by O'Reilly (2007), Lévy (2004), Rheingold (2004), Surowiecki (2005), Cobo (2007a), among other authors. The investigation comes from a project attached to the UNICA Research and Postgraduate Deanery, was descriptive, an observation guide was applied to collect information from the UNICA website and the 2.0 services to which it is associated as the platforms for vertical social networks YouTube, Instagram and SoundCloud, and platforms for horizontal social networks Facebook and Twitter. Among the most relevant findings was the exclusive use of social networking services for interaction with the university community, without including other services that seek to generate knowledge. It is concluded that UNICA uses web 2.0 services in its site in a limited and non-strategic way, with a purely informative nature that includes specific topics of the university and the catholic church, which could hinder the knowledge management as process of 21st century universities.


Author(s):  
Deirdre Lee ◽  
Yojana Priya Menda ◽  
Vassilios Peristeras ◽  
David Price

The growth of Information and Communication Technologies (ICTs) offers governments advanced methods for providing services and governing their constituency. eGovernment research aims to provide the models, technologies, and tools for more effective and efficient public administration systems as well as more participatory decision processes. In particular, eParticipation opens up greater opportunities for consultation and dialogue between government and citizens. Many governments have embraced eParticipation by setting up websites that allow citizens to contribute and have their say on particular issues. Although these sites make use of some of the latest ICT and Web 2.0 technologies, the uptake and sustained usage by citizens is still relatively low. Additionally, when users do participate, there is the issue of how the numerous contributions can be effectively processed and analysed, to avoid the inevitable information overload created by thousands of unstructured comments. The WAVE platform addresses what the authors see as the main barriers to the uptake of eParticipation websites by adopting a holistic and sustained approach of engaging users to participate in public debates. The WAVE platform incorporates argument visualisation, social networking, and Web 2.0 techniques to facilitate users participating in structured visual debates in a community environment.


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