logging in or signing up truth finder aSGuest42223 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 2612 Category: Education License: All Rights Reserved Like it (6) Dislike it (1) Added: April 06, 2010 This Presentation is Public Favorites: 1 Presentation Description No description available. Comments Posting comment... By: antonysatya (13 month(s) ago) Hi sir please send me the total documentation of this project to my mail id Antonysatya@yahoo.co.in Saving..... Post Reply Close Saving..... Edit Comment Close By: sirajbtech (14 month(s) ago) pl send me the total documentation ...sirajbtech@yahoo.com Saving..... Post Reply Close Saving..... Edit Comment Close By: vinomca5 (15 month(s) ago) can u plz send me the total documentation of truth finder and source code .i have this as my final project. send me as early as possible to my mail vinomca5@gmail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: ramesh7012 (16 month(s) ago) can u plz send me the total documentation of truth finder and source code .i have this as my final project. send me as early as possible i have to submit this last week of this month.to my mail. ramesh7012@gmail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: howsick (16 month(s) ago) please send me the complete documentation of truth finder because i am doing my main project on this topic....please send as early as possible my email id is "castrokalvin@gmail.com" Saving..... Post Reply Close Saving..... Edit Comment Close loading.... See all Premium member Presentation Transcript Slide 1: Truth Finder Multiple Conflicting Information Providers on the Web By M.SURESH M.Tech[cse] Roll no: 08471D5818 Slide 2: Contents: Abstract Introduction System Analysis System Requirements System Design Slide 3: Abstract The World-Wide Web has become the most important information source for most of us. As different websites often provide conflicting information the is no guarantee for the correctness of the data. In this paper we propose a new problem called “Veracity” and invent a new algorithm called “Truth Finder". Our Experiments show that Truth Finder successfully finds true facts among conflicting information, and identifies Trust worthy websites better than the popular search engines. Slide 4: 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. When we want to know the answer to any certain question, we go to ask.com or google.com.”Is the World-Wide Web always trustable…?” Unfortunately the answer is “NO". Different Websites often provide conflicting Information, as shown in the following examples…. Slide 5: Example 1 Height Of The Mount Everest: Suppose a user is interested in how high the Mount Everest is and queries Ask.com with “What is the height of Mount Everest…?”.Among the top 20 results, 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 says 29,002 feet, and another one says 29,017 feet. Which answer should the user trust…? Slide 6: Example 2 Author of Books: We tried to find out who wrote the book Rapid Contextual Design(ISBN: 0123540518).We found many different sets of authors from different online book stores. Conflicting Information on the Web : Conflicting Information on the Web Different websites often provide conflicting info. on a subject, e.g., Authors of “Rapid Contextual Design” Trustworthiness of the Web : Trustworthiness of the Web The trustworthiness problem of the web. According to a survey on credibility of web sites: 54% of Internet users trust news web sites most of time 26% for web sites that sell products 12% for blogs The problem of Veracity: Conformity to truth Given a large amount of conflicting information about many objects, provided by multiple web sites How to discover the true fact about each object? Slide 9: Princeton Survey In 2005 12% Blogs 54% News Websites 26% Online Shopping Slide 10: System Analysis: Existing System Proposed System Disadvantage Advantage Slide 11: Existing System: Page Rank and Authority-Hub analysis is to utilize the hyperlinks to find pages with high authorities. These two approaches identifying important web pages that users are interested in, Unfortunately, the popularity of web pages does not necessarily lead to accuracy of information Slide 12: Disadvantages: The popularity of web pages does not necessarily lead to accuracy of information. Even the most popular website may contain many errors. Where as some comparatively not-so-popular websites may provide more accurate information. Slide 13: Proposed System: We formulate the Veracity problem about how to discover true facts from conflicting information. Second, we propose a framework to solve this problem, by defining the trustworthiness of websites, confidence of facts, and influences between facts. Finally, we propose an algorithm called TRUTHFINDER for identifying true facts using iterative methods. Slide 14: Advantages: Our experiments show that TRUTHFINDER achieves very high accuracy in discovering true facts. It can select better trustworthy websites than authority-based search engines such as Google. Slide 15: Modules: Collection Of Unrelated Data Data Search Truth Finder Algorithm Result Calculation Slide 16: Module Description: Collection Of Data: First we have to collect the specific data about an object and it is stored in related database. Create table for specific object and store the facts about a particular object. Data Search: Searching the related data link according to user input. In this module user retrieve the specific data about an object. Slide 17: Truth Algorithm: 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. Result Calculation: For each response of the query we are calculating the Performance. Using the count calculated find the best link and show as the out put. Slide 19: An Example Websites Facts Objects UML Diagrams : UML Diagrams Slide 21: Use Case Diagram 1 : Slide 22: Use Case Diagram 2: Slide 23: Sequence Diagram: Slide 24: Collaboration Diagram : Slide 25: Class Diagram: Slide 26: State Diagram: Slide 27: Activity Diagram: Slide 28: Data Flow Diagram: Websites Facts Objects Slide 29: System Requirements: Hardware Requirements : PROCESSOR : PENTIUM IV 2.6 GHz RAM : 512 MB DD RAM MONITOR : 15” COLOR HARD DISK : 20 GB CDDRIVE : LG 52X KEYBOARD : STANDARD 102 KEYS MOUSE : 3 BUTTONS Slide 30: Software Requirements: FRONT END : Java, J2ee (JSP), Servlets. TOOL USED : JFrameBuilder OPERATING SYSTEM : Windows Xp BACK END : SQL Server 2000 Conclusions: : Conclusions: Veracity: An important problem for Web search and analysis Resolving conflicting facts from multiple websites Our approach: Utilizing the inter-dependency between website trustworthiness and fact confidence to find (1) trustable web sites, and (2) true facts TruthFinder: A system based on this philosophy Achieves high accuracy on finding both true facts and high quality web sites Slide 32: ANY QUERIES? Thank you! : Thank you! You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
truth finder aSGuest42223 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 2612 Category: Education License: All Rights Reserved Like it (6) Dislike it (1) Added: April 06, 2010 This Presentation is Public Favorites: 1 Presentation Description No description available. Comments Posting comment... By: antonysatya (13 month(s) ago) Hi sir please send me the total documentation of this project to my mail id Antonysatya@yahoo.co.in Saving..... Post Reply Close Saving..... Edit Comment Close By: sirajbtech (14 month(s) ago) pl send me the total documentation ...sirajbtech@yahoo.com Saving..... Post Reply Close Saving..... Edit Comment Close By: vinomca5 (15 month(s) ago) can u plz send me the total documentation of truth finder and source code .i have this as my final project. send me as early as possible to my mail vinomca5@gmail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: ramesh7012 (16 month(s) ago) can u plz send me the total documentation of truth finder and source code .i have this as my final project. send me as early as possible i have to submit this last week of this month.to my mail. ramesh7012@gmail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: howsick (16 month(s) ago) please send me the complete documentation of truth finder because i am doing my main project on this topic....please send as early as possible my email id is "castrokalvin@gmail.com" Saving..... Post Reply Close Saving..... Edit Comment Close loading.... See all Premium member Presentation Transcript Slide 1: Truth Finder Multiple Conflicting Information Providers on the Web By M.SURESH M.Tech[cse] Roll no: 08471D5818 Slide 2: Contents: Abstract Introduction System Analysis System Requirements System Design Slide 3: Abstract The World-Wide Web has become the most important information source for most of us. As different websites often provide conflicting information the is no guarantee for the correctness of the data. In this paper we propose a new problem called “Veracity” and invent a new algorithm called “Truth Finder". Our Experiments show that Truth Finder successfully finds true facts among conflicting information, and identifies Trust worthy websites better than the popular search engines. Slide 4: 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. When we want to know the answer to any certain question, we go to ask.com or google.com.”Is the World-Wide Web always trustable…?” Unfortunately the answer is “NO". Different Websites often provide conflicting Information, as shown in the following examples…. Slide 5: Example 1 Height Of The Mount Everest: Suppose a user is interested in how high the Mount Everest is and queries Ask.com with “What is the height of Mount Everest…?”.Among the top 20 results, 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 says 29,002 feet, and another one says 29,017 feet. Which answer should the user trust…? Slide 6: Example 2 Author of Books: We tried to find out who wrote the book Rapid Contextual Design(ISBN: 0123540518).We found many different sets of authors from different online book stores. Conflicting Information on the Web : Conflicting Information on the Web Different websites often provide conflicting info. on a subject, e.g., Authors of “Rapid Contextual Design” Trustworthiness of the Web : Trustworthiness of the Web The trustworthiness problem of the web. According to a survey on credibility of web sites: 54% of Internet users trust news web sites most of time 26% for web sites that sell products 12% for blogs The problem of Veracity: Conformity to truth Given a large amount of conflicting information about many objects, provided by multiple web sites How to discover the true fact about each object? Slide 9: Princeton Survey In 2005 12% Blogs 54% News Websites 26% Online Shopping Slide 10: System Analysis: Existing System Proposed System Disadvantage Advantage Slide 11: Existing System: Page Rank and Authority-Hub analysis is to utilize the hyperlinks to find pages with high authorities. These two approaches identifying important web pages that users are interested in, Unfortunately, the popularity of web pages does not necessarily lead to accuracy of information Slide 12: Disadvantages: The popularity of web pages does not necessarily lead to accuracy of information. Even the most popular website may contain many errors. Where as some comparatively not-so-popular websites may provide more accurate information. Slide 13: Proposed System: We formulate the Veracity problem about how to discover true facts from conflicting information. Second, we propose a framework to solve this problem, by defining the trustworthiness of websites, confidence of facts, and influences between facts. Finally, we propose an algorithm called TRUTHFINDER for identifying true facts using iterative methods. Slide 14: Advantages: Our experiments show that TRUTHFINDER achieves very high accuracy in discovering true facts. It can select better trustworthy websites than authority-based search engines such as Google. Slide 15: Modules: Collection Of Unrelated Data Data Search Truth Finder Algorithm Result Calculation Slide 16: Module Description: Collection Of Data: First we have to collect the specific data about an object and it is stored in related database. Create table for specific object and store the facts about a particular object. Data Search: Searching the related data link according to user input. In this module user retrieve the specific data about an object. Slide 17: Truth Algorithm: 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. Result Calculation: For each response of the query we are calculating the Performance. Using the count calculated find the best link and show as the out put. Slide 19: An Example Websites Facts Objects UML Diagrams : UML Diagrams Slide 21: Use Case Diagram 1 : Slide 22: Use Case Diagram 2: Slide 23: Sequence Diagram: Slide 24: Collaboration Diagram : Slide 25: Class Diagram: Slide 26: State Diagram: Slide 27: Activity Diagram: Slide 28: Data Flow Diagram: Websites Facts Objects Slide 29: System Requirements: Hardware Requirements : PROCESSOR : PENTIUM IV 2.6 GHz RAM : 512 MB DD RAM MONITOR : 15” COLOR HARD DISK : 20 GB CDDRIVE : LG 52X KEYBOARD : STANDARD 102 KEYS MOUSE : 3 BUTTONS Slide 30: Software Requirements: FRONT END : Java, J2ee (JSP), Servlets. TOOL USED : JFrameBuilder OPERATING SYSTEM : Windows Xp BACK END : SQL Server 2000 Conclusions: : Conclusions: Veracity: An important problem for Web search and analysis Resolving conflicting facts from multiple websites Our approach: Utilizing the inter-dependency between website trustworthiness and fact confidence to find (1) trustable web sites, and (2) true facts TruthFinder: A system based on this philosophy Achieves high accuracy on finding both true facts and high quality web sites Slide 32: ANY QUERIES? Thank you! : Thank you!