Introduction to Web 2.0 Technologies
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Metadata for Semantic and Social Applications
etadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008M will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web — the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Metadata for Web vocabularies to facilitate the ingration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their Semantic and information in interoperable ways (”participatory metadata”) is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. Social Applications DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice. Edited by Jane Greenberg and Wolfgang Klas DC-2008 -
On the Uniqueness of Browser Extensions and Web Logins
To Extend or not to Extend: on the Uniqueness of Browser Extensions and Web Logins Gábor György Gulyás Dolière Francis Somé INRIA INRIA [email protected] [email protected] Nataliia Bielova Claude Castelluccia INRIA INRIA [email protected] [email protected] ABSTRACT shown that a user’s browser has a number of “physical” charac- Recent works showed that websites can detect browser extensions teristics that can be used to uniquely identify her browser and that users install and websites they are logged into. This poses sig- hence to track it across the Web. Fingerprinting of users’ devices is nificant privacy risks, since extensions and Web logins that reflect similar to physical biometric traits of people, where only physical user’s behavior, can be used to uniquely identify users on the Web. characteristics are studied. This paper reports on the first large-scale behavioral uniqueness Similar to previous demonstrations of user uniqueness based on study based on 16,393 users who visited our website. We test and their behavior [23, 50], behavioral characteristics, such as browser detect the presence of 16,743 Chrome extensions, covering 28% settings and the way people use their browsers can also help to of all free Chrome extensions. We also detect whether the user is uniquely identify Web users. For example, a user installs web connected to 60 different websites. browser extensions she prefers, such as AdBlock [1], LastPass [14] We analyze how unique users are based on their behavior, and find or Ghostery [8] to enrich her Web experience. Also, while brows- out that 54.86% of users that have installed at least one detectable ing the Web, she logs into her favorite social networks, such as extension are unique; 19.53% of users are unique among those who Gmail [13], Facebook [7] or LinkedIn [15]. -
Uila Supported Apps
Uila Supported Applications and Protocols updated Oct 2020 Application/Protocol Name Full Description 01net.com 01net website, a French high-tech news site. 050 plus is a Japanese embedded smartphone application dedicated to 050 plus audio-conferencing. 0zz0.com 0zz0 is an online solution to store, send and share files 10050.net China Railcom group web portal. This protocol plug-in classifies the http traffic to the host 10086.cn. It also 10086.cn classifies the ssl traffic to the Common Name 10086.cn. 104.com Web site dedicated to job research. 1111.com.tw Website dedicated to job research in Taiwan. 114la.com Chinese web portal operated by YLMF Computer Technology Co. Chinese cloud storing system of the 115 website. It is operated by YLMF 115.com Computer Technology Co. 118114.cn Chinese booking and reservation portal. 11st.co.kr Korean shopping website 11st. It is operated by SK Planet Co. 1337x.org Bittorrent tracker search engine 139mail 139mail is a chinese webmail powered by China Mobile. 15min.lt Lithuanian news portal Chinese web portal 163. It is operated by NetEase, a company which 163.com pioneered the development of Internet in China. 17173.com Website distributing Chinese games. 17u.com Chinese online travel booking website. 20 minutes is a free, daily newspaper available in France, Spain and 20minutes Switzerland. This plugin classifies websites. 24h.com.vn Vietnamese news portal 24ora.com Aruban news portal 24sata.hr Croatian news portal 24SevenOffice 24SevenOffice is a web-based Enterprise resource planning (ERP) systems. 24ur.com Slovenian news portal 2ch.net Japanese adult videos web site 2Shared 2shared is an online space for sharing and storage. -
Blogger.Com User Guide
Blogger.com User Guide Version 4 Written by: Todd W. Jorns [email protected] Table of Contents Introduction ............................................................................................................................. 1 Create a Google Account ........................................................................................................ 2 Name Your Blog ....................................................................................................................... 3 Choose a Starter Template ..................................................................................................... 4 Posting Tab New Post ............................................................................................................................ 6 Edit Post ............................................................................................................................. 7 Published Successfully ....................................................................................................... 9 Settings Tab Basics ............................................................................................................................. 10 Publishing ........................................................................................................................ 11 Formatting ........................................................................................................................ 12 Design Tab Page Elements ............................................................................................................... -
Topline Questionnaire
12 PEW RESEARCH CENTER Topline questionnaire January 2021 Core Trends Survey Topline Abt Associates for Pew Research Center Sample: n=1,502 U.S. adults ages 18 and older nationwide, including 1,202 cellphone interviews Interviewing dates: January 25, 2021 – February 8, 2021 Margin of error: ± 2.9 percentage points for results based on Total [n=1,502] NOTE: ALL NUMBERS ARE PERCENTAGES UNLESS OTHERWISE NOTED. ROWS/COLUMNS MAY NOT TOTAL 100% DUE TO ROUNDING. PERCENTAGES LESS THAN 0.5% ARE REPLACED BY AN ASTERISK (*). IF NO ONE ANSWERED THE QUESTION, THE CELL CONTAINS ZERO (0). A DOUBLE HYPHEN (--) INDICATES THAT THE RESPONSE OPTION WAS NOT PRESENT IN THAT SURVEY. OTHER QUESTIONS ON THIS SURVEY HAVE BEEN PREVIOUSLY RELEASED OR HELD FOR FUTURE RELEASE. SNSINT2 Do you ever use social media sites like Facebook, Twitter or Instagram? CURRENT 72 Yes 28 No 0 (VOL.) Don’t know 0 (VOL.) Refused www.pewresearch.org 13 PEW RESEARCH CENTER Trend based on internet users3 [N=1,413] (VOL.) DON’T YES NO KNOW (VOL.) REFUSED Current 77 23 0 0 February 2019 78 22 0 0 January 2018 77 23 * 0 November 2016 77 23 * * May 2016 74 26 0 * November 2015 74 26 * * July 2015 76 23 * 0 September 2013 74 26 * 0 May 2013 72 28 0 * December 2012 67 33 * * August 2012 69 31 0 * February 2012 66 34 * 0 August 2011 64 35 * 0 May 2011 65 35 * 0 January 2011 61 39 0 0 December 2010 62 38 * 0 November 2010 61 39 * * September 2010 62 38 * 0 May 2010 61 39 0 0 January 2010 57 43 * 0 December 2009 56 44 0 * September 2009 47 52 * * April 2009 46 54 * * December 2008 35 65 * 0 November -
How to Find the Best Hashtags for Your Business Hashtags Are a Simple Way to Boost Your Traffic and Target Specific Online Communities
CHECKLIST How to find the best hashtags for your business Hashtags are a simple way to boost your traffic and target specific online communities. This checklist will show you everything you need to know— from the best research tools to tactics for each social media network. What is a hashtag? A hashtag is keyword or phrase (without spaces) that contains the # symbol. Marketers tend to use hashtags to either join a conversation around a particular topic (such as #veganhealthchat) or create a branded community (such as Herschel’s #WellTravelled). HOW TO FIND THE BEST HASHTAGS FOR YOUR BUSINESS 1 WAYS TO USE 3 HASHTAGS 1. Find a specific audience Need to reach lawyers interested in tech? Or music lovers chatting about their favorite stereo gear? Hashtags are a simple way to find and reach niche audiences. 2. Ride a trend From discovering soon-to-be viral videos to inspiring social movements, hashtags can quickly connect your brand to new customers. Use hashtags to discover trending cultural moments. 3. Track results It’s easy to monitor hashtags across multiple social channels. From live events to new brand campaigns, hashtags both boost engagement and simplify your reporting. HOW TO FIND THE BEST HASHTAGS FOR YOUR BUSINESS 2 HOW HASHTAGS WORK ON EACH SOCIAL NETWORK Twitter Hashtags are an essential way to categorize content on Twitter. Users will often follow and discover new brands via hashtags. Try to limit to two or three. Instagram Hashtags are used to build communities and help users find topics they care about. For example, the popular NYC designer Jessica Walsh hosts a weekly Q&A session tagged #jessicasamamondays. -
Picasa.Google.Com
in the classroom Get the tool: http://picasa.google.com What is it? Picasa is a free application that helps you instantly organize, edit, publish, and share all the pictures on your PC or Mac. With Picasa you can even create a collage or movie with an album or series of photos. Picasa also makes powerful photo editing simple. Picasa Web Albums allows photos from Picasa (or iPhoto via a plug-in, on a Mac) to be uploaded to the web quickly and easily. Why use it? Students can use Picasa to: ● Store, edit, and publish their photographic work. ● Create slideshows from a series of images. ● Create collages around a general or specific topic. ● Collaborate with other students on a photo album based upon a topic/theme. Teachers can use Picasa to: ● Create a repository of images for curricular use. ● Set up an album of school buildings so that students can use the photos for image textures in Google Sketchup. ● Make sure every student gets their face in the yearbook using Picasa’s face recognition feature to match names with faces. ● Post instructional videos. Expert Tip You can take full advantage of Picasa’s mobile integration. Photos can be posted to an album from a mobile device via email or your Android device. Instructional Ideas Elementary. Students can create a collage to represent a theme or concept, such as a collage of nouns. For Specially Designed Academic Instruction in English (SDAIE) students can tag images uploaded by the teacher and/or classmates. Middle School. Students can create a movie to digitally tell a story such as a Photo Five in which five sequential images are put together to tell a visual story. -
LOEX of the West 2006 Program Descriptions
Information Literacy for a Lifetime June 8 – 10, 2006 (Fairmont Orchid, Hawaii) 2006 LOEX-of-the-West, Program Descriptions Schedule At-a-Glance Thursday, June 8th 7:00 AM – Pre-Conference Continental Breakfast 8:00 AM 8:00 AM– Effective Teaching Techniques Making IL Relevant: Noon for One Shot Instruction Sessions Using Emerging Technologies in the Classroom 7:00 PM– Opening Reception 8:00 PM 8:00 PM– Big Island Talk Story (Hawaiiana Program) 9:00 PM Schedule At-a-Glance Friday, June 9th 6:00 AM– Continental Breakfast 7:00 AM 7:00 AM– Opening General Session - Creating Spaces for Alternative Ways of Knowing & Testing 8:00 AM Information Literacy and Global Citizenship: Making Podcasts and Promoting Lifelong A Checklist of Footholds and the Connection Screencasts: Opening Learning within the 8:15 AM– Information Foundations: Setting Between Lifelong Academic Library Constraints of the 9:00 AM Competencies for Freshmen on the Road Learning and Instruction to Global One-Shot: The Social College Students to Lifelong Learning Information Literacy Learners Sciences Perspective in the Global Studies Classroom Puffins, Popcorn, and Multimedia Library Retreat and Advance: Googlization of Parker Posey: Using Teaming Up: Faculty, Instruction for Multi- Extracting IL Information and User Interactive Librarians and 9:15 AM– Literate Net-Gens: Outcomes from Upper Preferences: Technology to Teach Technologists 10:00 AM Podcasts & Cable Level Curricula (or a Implications for Information Literacy Creating an Integrated Commercials at Prelude to Injecting -
Twitter Crowd Mining and Data Fishing
International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-1S4, June 2019 Twitter Crowd Mining and Data Fishing Sherin Eliyas, R. Naveen, M. Siva Krishna Abstract--- People use twitter as a medium to share their One variety or technique of data mining that can be used opinions, which in turn makes it a platform for analyzing public to extract information from organized data is Text Mining. opinion. This kind of information in various fields can be used Text mining focuses on textual data, this textual data is for further analysis. Text mining is used for classifying tweets unstructured, and it is difficult to deal with algorithmically, into negative and positive statements depending on their purpose. Text messages are used to define mind set of large groups of though, text is commonly used for information transfer by people. From perspective of decision makers, precious the present society. Vast amount of textual data comes from information is provided by collection of text messages. In this email and social media. Public post real time messages and paper, we use data collected from twitter and extract useful data their opinion on variety of topics, creating it as a valuable from it using data mining tools. The results is represented as platform for analyzing and tracking public opinion on decision trees and this can be used to make further analysis or current situation, including their opinion on the bus ticket used to take decision for analyst. Here we evaluate or analyze the impact of tweets by using emotic icons for process. -
What Is Dart?
1 Dart in Action By Chris Buckett As a language on its own, Dart might be just another language, but when you take into account the whole Dart ecosystem, Dart represents an exciting prospect in the world of web development. In this green paper based on Dart in Action, author Chris Buckett explains how Dart, with its ability to either run natively or be converted to JavaScript and coupled with HTML5 is an ideal solution for building web applications that do not need external plugins to provide all the features. You may also be interested in… What is Dart? The quick answer to the question of what Dart is that it is an open-source structured programming language for creating complex browser based web applications. You can run applications created in Dart by either using a browser that directly supports Dart code, or by converting your Dart code to JavaScript (which happens seamlessly). It is class based, optionally typed, and single threaded (but supports multiple threads through a mechanism called isolates) and has a familiar syntax. In addition to running in browsers, you can also run Dart code on the server, hosted in the Dart virtual machine. The language itself is very similar to Java, C#, and JavaScript. One of the primary goals of the Dart developers is that the language seems familiar. This is a tiny dart script: main() { #A var d = “Dart”; #B String w = “World”; #C print(“Hello ${d} ${w}”); #D } #A Single entry point function main() executes when the script is fully loaded #B Optional typing (no type specified) #C Static typing (String type specified) #D Outputs “Hello Dart World” to the browser console or stdout This script can be embedded within <script type=“application/dart”> tags and run in the Dartium experimental browser, converted to JavaScript using the Frog tool and run in all modern browsers, or saved to a .dart file and run directly on the server using the dart virtual machine executable. -
The Researching and Teaching Communication Series
THE RESEARCHING AND TEACHING COMMUNICATION SERIES THE RESEARCHING AND TEACHING COMMUNICATION SERIES MEDIA TECHNOLOGIES AND DEMOCRACY IN AN ENLARGED EUROPE THE INTELLECTUAL WORK OF THE 2007 EUROPEAN MEDIA AND COMMUNICATION DOCTORAL SUMMER SCHOOL Edited by Nico Carpentier Pille Pruulmann-Vengerfeldt Kaarle Nordenstreng Maren Hartmann Peeter Vihalemm Bart Cammaerts Hannu Nieminen The Intensive Programme in Media and Communication: Enlarging Europe – Enlarging Participation is supported by the Socrates Erasmus IP project (contract number: 69935-IC-1-2004-EE-ERASMUS-IPUC-6), the European Communication Research and Education Association (www.ecrea.eu), the University of Tartu – the Department of Journalism and Communication (www.jrnl.ut.ee) and a consortium of 19 universities. ISSN 1736–3918 (print) ISBN 978–9949–11–744–4 (print) ISSN 1736–4752 (PDF) ISBN 978–9949–11–745–1 (PDF) Copyright: Authors 2007 Tartu University Press www.tyk.ee Table of contents INTRODUCTION Introduction: Participation and learning. The intellectual work of the 2007 European media and communication doctoral summer school in Tartu......................................................................................................... 11 Nico Carpentier PART ONE SECTION ONE: TECHNOLOGY, DEMOCRACY AND POLICY Communication and technology: beyond determinism?...................... 27 Denis McQuail Public service broadcasting in a multimedia environment .................. 41 Jo Bardoel Towards the democratic regulation of European media and communication .......................................................................................... -
Studying Social Tagging and Folksonomy: a Review and Framework
Studying Social Tagging and Folksonomy: A Review and Framework Item Type Journal Article (On-line/Unpaginated) Authors Trant, Jennifer Citation Studying Social Tagging and Folksonomy: A Review and Framework 2009-01, 10(1) Journal of Digital Information Journal Journal of Digital Information Download date 02/10/2021 03:25:18 Link to Item http://hdl.handle.net/10150/105375 Trant, Jennifer (2009) Studying Social Tagging and Folksonomy: A Review and Framework. Journal of Digital Information 10(1). Studying Social Tagging and Folksonomy: A Review and Framework J. Trant, University of Toronto / Archives & Museum Informatics 158 Lee Ave, Toronto, ON Canada M4E 2P3 jtrant [at] archimuse.com Abstract This paper reviews research into social tagging and folksonomy (as reflected in about 180 sources published through December 2007). Methods of researching the contribution of social tagging and folksonomy are described, and outstanding research questions are presented. This is a new area of research, where theoretical perspectives and relevant research methods are only now being defined. This paper provides a framework for the study of folksonomy, tagging and social tagging systems. Three broad approaches are identified, focusing first, on the folksonomy itself (and the role of tags in indexing and retrieval); secondly, on tagging (and the behaviour of users); and thirdly, on the nature of social tagging systems (as socio-technical frameworks). Keywords: Social tagging, folksonomy, tagging, literature review, research review 1. Introduction User-generated keywords – tags – have been suggested as a lightweight way of enhancing descriptions of on-line information resources, and improving their access through broader indexing. “Social Tagging” refers to the practice of publicly labeling or categorizing resources in a shared, on-line environment.