Web 2.0 in Governance

Author(s):  
Lefkothea Spiliotopoulou ◽  
Yannis Charalabidis

There has been significant research in the private sector towards systematic exploitation of the emerging Web 2.0/Web 3.0 and social media paradigms. However, not much has been achieved with regards to the embodiment of similar technologies. Currently, governments and organizations are making considerable efforts, trying to enhance citizens' participation in decision-making and policy-formulation processes. This chapter presents a novel policy analysis framework, proposing a Web-based platform that enables publishing content and micro-applications to multiple Web 2.0 social media and collecting citizens' interactions (e.g. comments, ratings) with efficient use of Application Programming Interfaces (APIs) of these media. Citizens' opinions and interactions can then be processed through different techniques or methods (Web analytics, opinion mining, simulation modeling) in order to use the extracted conclusions as support to government decision and policy makers.

Author(s):  
Lefkothea Spiliotopoulou ◽  
Yannis Charalabidis

There has been significant research in the private sector towards systematic exploitation of the emerging Web 2.0/Web 3.0 and social media paradigms. However, not much has been achieved with regards to the embodiment of similar technologies. Currently, governments and organizations are making considerable efforts, trying to enhance citizens’ participation in decision-making and policy-formulation processes. This chapter presents a novel policy analysis framework, proposing a Web-based platform that enables publishing content and micro-applications to multiple Web 2.0 social media and collecting citizens’ interactions (e.g. comments, ratings) with efficient use of Application Programming Interfaces (APIs) of these media. Citizens’ opinions and interactions can then be processed through different techniques or methods (Web analytics, opinion mining, simulation modeling) in order to use the extracted conclusions as support to government decision and policy makers.


2015 ◽  
pp. 281-303
Author(s):  
Lefkothea Spiliotopoulou ◽  
Yannis Charalabidis

There has been significant research in the private sector towards systematic exploitation of the emerging Web 2.0/Web 3.0 and social media paradigms. However, not much has been achieved with regards to the embodiment of similar technologies. Currently, governments and organizations are making considerable efforts, trying to enhance citizens' participation in decision-making and policy-formulation processes. This chapter presents a novel policy analysis framework, proposing a Web-based platform that enables publishing content and micro-applications to multiple Web 2.0 social media and collecting citizens' interactions (e.g. comments, ratings) with efficient use of Application Programming Interfaces (APIs) of these media. Citizens' opinions and interactions can then be processed through different techniques or methods (Web analytics, opinion mining, simulation modeling) in order to use the extracted conclusions as support to government decision and policy makers.


Rich Internet Applications (RIAs) are considered one kind of Web 2.0 application; however, they have demonstrated to have the potential to transcend throughout the steps in the Web evolution, from Web 2.0 to Web 4.0. In some cases, RIAs can be leveraged to overcome the challenges in developing other kinds of Web-based applications. In other cases, the challenges in the development of RIAs can be overcome by using additional technologies from the Web technology stack. From this perspective, the new trends in the development of RIAs can be identified by analyzing the steps in the Web evolution. This chapter presents these trends, including cloud-based RIAs development and mashups-rich User Interfaces (UIs) development as two easily visible trends related to Web 2.0. Similarly, semantic RIAs, RMAs (Rich Mobile Applications), and context-aware RIAs are some of the academic proposals related to Web 3.0 and Web 4.0 that are discussed in this chapter.


2020 ◽  
Vol 8 (11) ◽  
Author(s):  
Noam Arzt

Public health agencies established immunization registries - now called Immunization Information Systems (IIS) - to consolidate records across provider locations to support more effective immunization of patients and public health surveillance. While initially collecting data through interactive client-server and then web-based interfaces, IIS now collect the vast majority of their data through automated interfaces to electronic health record (EHR) systems using standard application programming interfaces (API). IIS have sophisticated processing rules for the incoming data to ensure data accuracy and completeness. This paper will review the existing workflow, standards, and processes used by IIS to accept, process, and make immunization data available. This will include a review of emerging standards - Fast Healthcare Interoperability Resources (FHIR) - which will likely become dominant over the next few years.


2019 ◽  
Vol 39 (06) ◽  
pp. 315-321
Author(s):  
Mohit Garg ◽  
Uma Kanjilal

Nowadays, people use the internet for both seeking and disseminating information in a collaborative way on various social media platforms like Quora, Yahoo Answers, LisLinks Forum, etc. This social interaction on different topics makes these platforms as a knowledge repository. Evaluation of these repositories can help to understand various trends. However, this evaluation is a challenging task because of unstructured data and the unavailability of application programming interfaces for the harvesting of a dataset. This study presented a framework to harvest and pre-processing of data available on LisLinks Forum. The proposed framework is implemented using statistical programming language R. The fourteen metadata elements were defined for the discussion forums. The framework automatically harvest and pre-process relevant data of posts.


2001 ◽  
Vol 11 (01) ◽  
pp. 71-104
Author(s):  
KIYOKO F. AOKI ◽  
D. T. LEE

In a problem solving environment for geometric computing, a graphical user interface, or GUI, for visualization has become an essential component for geometric software development. In this paper we describe a visualization system, called GeoJAVA, which consists of a GUI and a geometric visualization library that enables the user or algorithm designer to (1) execute and visualize an existing algorithm in the library or (2) develop new code over the Internet. The library consists of geometric code written in C/C++. The GUI is written using the Java programming language. Taking advantage of the socket classes and system-independent application programming interfaces (API's) provided with the Java language, GeoJAVA offers a platform independent environment for distributed geometric computing that combines Java and C/C++. Users may remotely join a "channel" or discussion group in a location transparent manner to do collaborative research. The visualization of an algorithm, a C/C++ program located locally or remotely and controlled by a "floor manager", can be viewed by all the members in the channel through a visualization sheet called GeoJAVASheet. A chat box is also provided to enable dialogue among the members. Furthermore, this system not only allows visualization of pre-compiled geometric code, but also serves as a web-based programming environment where the user may submit a geometric code, compile it with the libraries provided by the system, and visualize it directly over the web sharing it with other users immediately.


2021 ◽  
Author(s):  
Anne Bermonte

The majority of the literature on Web 2.0 and social media describes several public administration benefits: building trust, achieving transparency, recruiting young professionals and realizing efficiencies. The literature argues that leadership is required to bring in cultural changes to support the use of web-based tools and links familiarity with successful adoption. Yet, little research exists exploring how these issues influence senior leaders' use of Web 2.0 and social media in a government bureaucracy. This study uses a mixed methods approach to look at senior leaders use and adoption patterns in the Ontario public service, to probe the concept of familiarity by understanding the relationship between home/personal use and work/professional use, and to contribute to an emerging public administration area. An assessment of government of Ontario Internet and intranet sites, an analysis of survey responses from 117 senior leaders in the OPS and information gathered from interviews support the study's findings.


2013 ◽  
Vol 23 ◽  
pp. 202-216 ◽  
Author(s):  
Pedro Andrade

Digital public sphere is immersed in the present conjuncture of accelerated transformation and probable rupture, which certainly will affect the way we exercise our citizenship in contemporary times. This social and political tsunami is partly based on the change of paradigm of Web 2.0 or Social Web to Web 3.0 or Semantic Web. To clarify such a process, this paper discusses some of the key issues and theoretical positions on public space, from seminal Habermas’s perspective to new problematics raised by the networked society. The author suggests the construction of a Sociological Ontology of Social and Semantic Web, based on a Semantic-Logical Sociology and Methodology. These procedures are applied through the analysis and hermeneutics of a Wikipedia page entitled ‘Web 2.0’, where sociological experimental tools are used, as Semantic-Logical fields, trees and networks, central and peripheral concepts, and trichotomies.


2019 ◽  
Vol 9 (1) ◽  
pp. 53
Author(s):  
Nfn Bahrawi

<p class="JGI-AbstractIsi">Twitter is one of the social media that has a simple and fast concept, because short messages, news or information on Twitter can be more easily digested. This social media is also widely used as an object for researchers or industry to conduct sentiment analysis in the fields of social, economic, political or other fields. Opinion mining or also commonly called sentiment analysis is the process of analyzing text to get certain information in a sentence in the form of opinion. Sentiment analysis is one of the branches of the science of Text mining where text mining is a natural language processing technique and analytical method that is applied to text data to obtain relevant information. Public opinion or sentiment in social media twitter is very dynamic and fast changing, a real time sentiment analysis system is needed and it is automatically updated continuously so that changes can always be monitored, anytime and anywhere. This research builds a system so that it can analyze sentiment from twitter social media in realtime and automatically continuously. The results of the system trial succeeded in drawing data, conducting sentiment analysis and displaying it in graphical and web-based realtime and updated automatically. Furthermore, this research will be developed with a focus on the accuracy of the algorithms used in conducting the sentiment analysis process.</p>


Author(s):  
Himanshu Ahuja ◽  
Sivakumar R

Web 2.0 delivers the information which is then displayed in human readable content, omitting the crucial information which can be drawn from the data by the applications. Web 3.0 or semantic web is an extension to the current web, with an ambition to determine the drawbacks of the current web. The semantic web has already proven its influence in several communities around the globe, such as social media, music industry, healthcare domain, online blogs or articles, etc.; Among the several tools and technologies, ontologies or vocabularies are the foundation pillar for the semantic web. In this paper, the developed system aims at improving the collaboration and academic relations among staff which is directly related to our education community by providing a better networking platform which lets the agents discuss their achievements, titles, domain interests, and various other activities. Results have been analyzed to show how new facts, information can be implied from the presented knowledge of several agents and help generate a relationship graph by utilizing various semantic tools. The system discussed in this paper processes all the information in a format which can be understood by both humans and the machines, to interpret the underlying meaning about it and provide effective results.


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