Truth discovery with multiple conflicting information providers on the web
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30-11-2009, 03:42 PM


The world-wide web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of information on the web. Moreover, different web sites often provide conflicting information on a subject, such as different specifications for the same product. In this seminar and presentation we propose a new problem called Veracity, i.e., conformity to truth, which studies how to find true facts from a large amount of conflicting information on many subjects that is provided by various web sites. We design a general framework for the Veracity problem, and invent an algorithm called TruthFinder, which utilizes the relationships between web sites and their information, i.e., a web site is trustworthy if it provides many pieces of true information, and a piece of information is likely to be true if it is provided by many trustworthy web sites..

for more read
cs.uiuc.edu/~hanj/pdf/kdd07_xyin.pdf
Use Search at http://topicideas.net/search.php wisely To Get Information About Project Topic and Seminar ideas with report/source code along pdf and ppt presenaion
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laxminarayan.kv
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07-05-2010, 09:49 AM

please send the documentation about that project and implimentation
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seminar surveyer
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16-12-2010, 11:11 AM

hi
please visit below thread too
topicideashow-to-truth-discovery-with-multiple-conflicting-information-providers-on-web
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05-05-2011, 10:23 AM

ABSTRACT
The world-wide web has become the most important infor-mation source for most of us. Unfortunately, there is noguarantee for the correctness of information on the web.Moreover, different web sites often provide conflicting in-formation on a subject, such as different specifications forthe same product. In this paper we propose a new problemcalled Veracity, i.e., conformity to truth, which studies howto find true facts from a large amount of conflicting informa-tion on many subjects that is provided by various web sites.We design a general framework for the Veracity problem,and invent an algorithm called TruthFinder, which uti-lizes the relationships between web sites and their informa-tion, i.e., a web site is trustworthy if it provides many piecesof true information, and a piece of information is likely to betrue if it is provided by many trustworthy web sites. Our ex-periments show that TruthFinder successfully finds truefacts among conflicting information, and identifies trustwor-thy web sites better than the popular search engines.Keywords: data quality, web mining, link analysis.
1. INTRODUCTION
The world-wide web has become a necessary part of ourlives, and might have become the most important informa-tion source for most people. Everyday people retrieve allkinds of information from the web. For example, when shop-ping online, people find product specifications from web siteslike Amazon.com or ShopZilla.com. When looking for inter-esting DVDs, they get information and read movie reviewson web sites such as NetFlix.com or IMDB.com.“Is the world-wide web always trustable?” Unfortunately,the answer is “no”. There is no guarantee for the correctness of information on the web. Even worse, different web sitesoften provide conflicting information, as shown below.Example 1: Authors of books. We tried to find outwho wrote the book “Rapid Contextual Design” (ISBN:0123540518). We found many different sets of authors fromdifferent online bookstores, and we show several of them inTable 1. From the image of the book cover we found thatA1 Books provides the most accurate information. In com-parison, the information from Powell’s books is incomplete,and that from Lakeside books is incorrect. Table 1: Conflicting information about book authorsThe trustworthiness problem of the web has been realizedby today’s Internet users. According to a survey on credibil-ity of web sites, 54% of Internet users trust news web sitesat least most of time, while this ratio is only 26% for websites that sell products, and is merely 12% for blogs.There have been many studies on ranking web pages ac-cording to authority based on hyperlinks, such as Authority-Hub analysis [2], PageRank [4], and more general link-basedanalysis [1]. But does authority or popularity of web siteslead to accuracy of information? The answer is unfortu-nately no. For example, according to our experiments thebookstores ranked on top by Google (Barnes & Noble andPowell’s books) contain many errors on book author infor-mation, and some small bookstores (e.g., A1 Books) providemore accurate information.In this paper we propose a new problem called Verac-ity problem, which is formulated as follows: Given a largeamount of conflicting information about many objects, whichis provided by multiple web sites (or other types of informa-tion providers), how to discover the true fact about eachobject. We use the word “fact” to represent something thatis claimed as a fact by some web site, and such a fact can beeither true or false. There are often conflicting facts on theweb, such as different sets of authors for a book.


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pavan444.pavan
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25-08-2011, 05:33 PM

Hi
please send me "Truth Discovery with Multiple Conflicting Information
Providers on the Web" source code Smile
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26-08-2011, 10:14 AM




To get more information about the topic "Truth discovery with multiple conflicting information providers on the web " please refer the link below

topicideashow-to-truth-discovery-with-multiple-conflicting-information-providers-on-the-web?pid=55522#pid55522
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13-10-2012, 04:13 PM

Truth Discovery with Multiple Conflicting Information Providers on the Web.



.doc   Truth Discovery with Multiple.doc (Size: 3.81 MB / Downloads: 23)

Abstract

The world-wide web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of information on the web. Moreover, different web sites often provide conflicting in-formation on a subject, such as different specifications for the same product. In this paper we propose a new problem called Veracity that is conformity to truth, which studies how to find true facts from a large amount of conflicting information on many subjects that is provided by various web sites. We design a general framework for the Veracity problem, and invent an algorithm called Truth Finder, which utilizes the relationships between web sites and their information, i.e., a web site is trustworthy if it provides many pieces of true information, and a piece of information is likely to be true if it is provided by many trustworthy web sites. Our experiments show that Truth Finder successfully finds true facts among conflicting information, and identifies trustworthy web sites better than the popular search engines.

Introduction

THE World Wide Web has become a necessary part of our lives and might have become the most important information source for most people. Everyday, people retrieve all kinds of information from the Web. For example, when shopping online, people find product specifications from websites like Amazon.com or ShopZilla.com. When looking for interesting DVDs, they get information and read movie reviews on websites such as NetFlix.com or IMDB.
com. When they want to know the answer to a certain question, they go to Ask.com or Google.com. “Is the World Wide Web always trustable?” Unfortunately, the answer is “no.” There is no guarantee for the correctness of information on the Web. Even worse, different websites often provide conflicting information, as shown in the following examples.
Example 1 (Height of Mount Everest). Suppose a user is interested in how high Mount Everest is and queries Ask.com with “What is the height of Mount Everest?” Among the top 20 results, 1 he or she will find the following facts: four websites (including Ask.com itself) say 29,035 feet, five websites say 29,028 feet, one says29, 002 feet, and another one says 29,017 feet. Which answer should the user trust?

Organization Profiles

In this world of increasing globalization, Stupors moves forward to meet the challenges of the future through the development of R & D project and implimentations in various domains. R & D project and implimentation sector attracts the most prominent thinkers and practitioners in a range of fields that impinge on development. The global presence and reach attained by Stupors are not only substantiated by its presence, but also in terms of the training students in R & D project and implimentation development.
Over the decade, Stupors, a Subsidiary of Spiro Technologies & consultant Pvt. Ltd provides a wide range of R & D project and implimentation development training. Our uniqueness lies in the exclusive R & D project and implimentation development. Accordingly, we created a setting that is enabling, dynamic and inspiring for the increase of solutions to global problems by R & D project and implimentation development. Developing appropriate, responsible, innovative and practical solutions to students, by assisting in R & D project and implimentation development. All our research is stranded in the need to provide an industry based training for students.

About team

Our team consists of more than 300 enthusiastic experts, drawn from a range of disciplines and experience, supported by infrastructure and facilities, which are world class and distinctively state-of-the-art. The strength of the organization lies in not only identifying and articulating intellectual challenges across a number of disciplines of knowledge but also in mounting research, training and demonstration project and implimentations leading to development of specific problem-based advanced technologies. The organization growth has been evolutionary, driven by a vision of the future and ingrained in challenges frightening today. The organization continues to grow in size, spread and intensity of work undertaken. Our experts are involved in a wide range of R & D project and implimentation development training to student wishing to undertake professional development, or just wanting to learn about a new subject or area of study.

Web Clients

A Web client consists of two parts: dynamic Web pages containing various types of markup language (HTML, XML, and so on), which are generated by Web components running in the Web tier, and a Web browser, which renders the pages received from the server.
A Web client is sometimes called a thin client. Thin clients usually do not do things like query databases, execute complex business rules, or connect to legacy applications. When you use a thin client, heavyweight operations like these are off-loaded to enterprise beans executing on the J2EE server where they can leverage the security, speed, services, and reliability of J2EE server-side technologies.
Applets
A Web page received from the Web tier can include an embedded applet. An applet is a small client application written in the Java programming language that executes in the Java virtual machine installed in the Web browser. However, client systems will likely need the Java Plug-in and possibly a security policy file in order for the applet to successfully execute in the Web browser.
Web components are the preferred API for creating a Web client program because no plug-ins or security policy files are needed on the client systems. Also, Web components enable cleaner and more modular application design because they provide a way to separate applications programming from Web page design. Personnel involved in Web page design thus do not need to understand Java programming language syntax to do their jobs.

Application Clients

A J2EE application client runs on a client machine and provides a way for users to handle tasks that require a richer user interface than can be provided by a markup language. It typically has a graphical user interface (GUI) created from Swing or Abstract Window Toolkit (AWT) APIs, but a command-line interface is certainly possible.
Application clients directly access enterprise beans running in the business tier. However, if application requirements warrant it, a J2EE application client can open an HTTP connection to establish communication with a servlet running in the Web tier.

JavaBeans Component Architecture

The server and client tiers might also include components based on the JavaBeans component architecture (JavaBeans component) to manage the data flow between an application client or applet and components running on the J2EE server or between server components and a database. JavaBeans components are not considered J2EE components by the J2EE specification.
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