logging in or signing up "Web Based Mining and 3D Rendering of Knowledge Structure" hofstrauniversity 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: Embed: Flash iPad Dynamic Copy Does not support media & animations Automatically changes to Flash or non-Flash embed WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 40 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: May 28, 2013 This Presentation is Public Favorites: 0 Presentation Description Computer Science Spring 2013 Student Research Presentation by Stephen Cohen Comments Posting comment... Premium member Presentation Transcript Web-Based Mining and 3-D Rendering of Knowledge Structure: Web-Based Mining and 3-D Rendering of Knowledge Structure Stephen M. Cohen May 2013 Graduate Capstone Project Presented by: Stephen M. Cohen Advisor: Dr. Xiang Fu May 2013Outline: Motivation Design Web Based Mining Visualization Experimental Results OutlineIntroduction: Adaptive Testing: Introduction: Adaptive Testing Write a program for primality test ? ALOAS http://people.hofstra.edu/Xiang_Fu/XiangFu/Projects/ALOAS/index.html Loop Branch Integer divisionOntology: Ontology  Behind Testing Tool Manual Construction Too Tedious ! Ontology Example of an ontology(topic map)Purpose of Research: Given Scientific Subject Extract Nodes of Ontology Automatically Our Contributions Purpose of Research Web-based Mining Tool Visualization Tool Evaluation and ExperimentsFacts of Project: Windows Form App 9627 Lines of C# Code Bonus Feature: Google Drive Backup XNA 4.0 Web Search Tree Visualizer Generates XML Facts of ProjectPart I. Web Based Mining: Part I. Web Based MiningWeb Mining Machine: Web Mining Machine Input Start Link (EN Wiki) Recursion Depth Max Links/Terms Per Page OutputAlgorithm: Essentially Recursive Algorithm Parse Page Using Regular Expression Special Wiki Links Terms Precision Control Based on Distance to Root/Target Term Extra User Provided Oracle : List of Core Terms AlgorithmScreenshots of the web crawler: Screenshots of the web crawler Before AfterPart II. 3D Visualization: Part II. 3D VisualizationAlgorithm: Generates Balanced Search Tree Labels Nodes With URLs Labels Paired Nodes Connects All Nodes With Red Lines Algorithm3d Web Search Tree Visualization Tool: Input 3d Web Search Tree Visualization ToolVisualizer Angled Camera Screenshot: Visualizer A ngled C amera S creenshotZoomed Out: Zoomed OutNode Highlighting: Node HighlightingNode-by-Node Navigation: Node-by-Node NavigationDisplay Optimization: Display OptimizationFeatures: Features Navigation Controls http://lnk.nu/youtube.com/2c1t Standard Controls Plus-zoom in Minus-zoom out N-look up M-look down V-look left B-look right Q-Quit Left Shift-optimizer switch Special Viewing Mode Controls Space bar=center camera on top node of tree(or the last node you centered the camera on using up, down, left, or right) Up-go up to parent node Down-go down to child node Left-go left to the adjacent child node sharing the same parent node, or to the last child node sharing the same parent node if you are at the left side of the child nodes. Right-go right to the adjacent child node sharing the same parent node, or to the last child node sharing the same parent node if you are at the right side of the child nodes.Part III: Evaluation: Part III: EvaluationSample Pairs Generated: Sample Pairs GeneratedProblems and Solutions: Data Structure Construction Fast ,Rendering Speed Slow Optimization Switch Added Performance decreases as Search Tree Size increases because of increased rendering times Problems and SolutionsResults: Discrete Mathematics 4 links per page depth of 4 - 86.50% accuracy Discrete Mathematics 3 links per page depth of 5 - 85 % accuracy Computer Science 5 links per page depth of 5 - 78 % accuracy ResultsBibliography: 1. Lin, Feiyu. “State of the Art: Automatic Ontology Mapping”. PDF Document. Information. Engineering Research Group .Department of Electronic and Computer Engineering School of Engineering, J¨onk¨oping university J¨onk¨oping, Sweden. January 2007. Bibliography You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.