Personal Tag Semantic Relation Yi-Ching Huang 2008/02/27 Yi-Ching Huang 2008/02/27.

Slides:



Advertisements
Similar presentations
PhishZoo: Detecting Phishing Websites By Looking at Them
Advertisements

October 4, 2013 Wilmington High School. What is Evernote? Simply stated, Evernote is a web service and software application that can be used to help us.
 Andisheh Keikha Ryerson University Ebrahim Bagheri Ryerson University May 7 th
Contextual Wisdom Social Relations and Correlations for Multimedia Event Annotation Amit Zunjarwad, Hari Sundaram and Lexing Xie.
LYU0101 Wireless Digital Information System Lam Yee Gordon Yeung Kam Wah Supervisor Prof. Michael Lyu Second semester FYP Presentation 2001~2002.
T.Sharon - A.Frank 1 Internet Resources Discovery (IRD) Classic Information Retrieval (IR)
ACM Multimedia th Annual Conference, October , 2004
Motivation Where is my W-2 Form?. Video-based Tracking Camera view of the desk Camera Overhead video camera.
Contextual Intelligence: Scalability Issues in Personal Semantic Networks Oliver Brdiczka.
High-Performance Digital Library Classification Systems: PI: Hsinchun Chen, The University of Arizona From Information Retrieval to Knowledge Management.
Hypertext Computer Science 01i Introduction to the Internet Neal Sample 6 February 2001.
Evaluating Retrieval Systems with Findability Measurement Shariq Bashir PhD-Student Technology University of Vienna.
Machine Learning Damon Waring 22 April of 15 Agenda Problem, Solution, Benefits Problem, Solution, Benefits Machine Learning Overview/Basics Machine.
Usability Evaluation of Digital Libraries Stacey Greenaway Submitted to University of Wolverhampton module Dec 15 th 2006.
Search Engines and their Public Interfaces: Which APIs are the Most Synchronized? Frank McCown and Michael L. Nelson Department of Computer Science, Old.
Center for E-Business Technology Seoul National University Seoul, Korea Social Network Collaborative Filtering Research Meeting Babar Tareen
ENHANCING INFORMATION ACCESS AND RETRIEVAL TECHNIQUES TO IMPROVE THE EFFECTIVENESS OF INFORMATION ARCHITECTURE ANUBHA JAIN Research Scholar The IIS University.
Common Sense Computing MIT Media Lab Interaction Challenges for Agents with Common Sense Henry Lieberman MIT Media Lab Cambridge, Mass. USA
Finding Wormholes with Flickr Geotags Maarten Clements Marcel Reinders Arjen de Vries Pavel Serdyukov December 3 rd, 2009 GIS.
CONTI’2008, 5-6 June 2008, TIMISOARA 1 Towards a digital content management system Gheorghe Sebestyen-Pal, Tünde Bálint, Bogdan Moscaliuc, Agnes Sebestyen-Pal.
«Tag-based Social Interest Discovery» Proceedings of the 17th International World Wide Web Conference (WWW2008) Xin Li, Lei Guo, Yihong Zhao Yahoo! Inc.,
Building and Analyzing Social Networks Case Studies of Semantic Social Network Analysis Dr. Bhavani Thuraisingham February 22, 2013.
Web 2.0: Concepts and Applications 4 Organizing Information.
The Problem Finding information about people in huge text collections or on-line repositories on the Web is a common activity Person names, however, are.
1 The BT Digital Library A case study in intelligent content management Paul Warren
Steps Toward an AGI Roadmap Włodek Duch ( Google: W. Duch) AGI, Memphis, 1-2 March 2007 Roadmaps: A Ten Year Roadmap to Machines with Common Sense (Push.
Personalized Information Retrieval in Context David Vallet Universidad Autónoma de Madrid, Escuela Politécnica Superior,Spain.
Jiuling Zhang  Why perform query expansion?  WordNet based Word Sense Disambiguation WordNet Word Sense Disambiguation  Conceptual Query.
Visual Interfaces to Digital Libraries Katy Börner School of Library and Information Science Indiana University, Bloomington
No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.
Xiaoying Gao Computer Science Victoria University of Wellington Intelligent Agents COMP 423.
Recommendation system MOPSI project KAROL WAGA
PAUL ALEXANDRU CHIRITA STEFANIA COSTACHE SIEGFRIED HANDSCHUH WOLFGANG NEJDL 1* L3S RESEARCH CENTER 2* NATIONAL UNIVERSITY OF IRELAND PROCEEDINGS OF THE.
Which of the two appears simple to you? 1 2.
Personal Information Management Vitor R. Carvalho : Personalized Information Retrieval Carnegie Mellon University February 8 th 2005.
1 Information Retrieval Acknowledgements: Dr Mounia Lalmas (QMW) Dr Joemon Jose (Glasgow)
Document Clustering 文件分類 林頌堅 世新大學圖書資訊學系 Sung-Chien Lin Department of Library and Information Studies Shih-Hsin University.
29-30 October, 2006, Estonia 1 IST4Balt Information analysis using social bookmarking and other tools IST4Balt Information analysis using social bookmarking.
Crawling and Aligning Scholarly Presentations and Documents from the Web By SARAVANAN.S 09/09/2011 Under the guidance of A/P Min-Yen Kan 10/23/
Mining Topic-Specific Concepts and Definitions on the Web Bing Liu, etc KDD03 CS591CXZ CS591CXZ Web mining: Lexical relationship mining.
You Are What You Tag Yi-Ching Huang and Chia-Chuan Hung and Jane Yung-jen Hsu Department of Computer Science and Information Engineering Graduate Institute.
You Are What You Tag Yi-Ching (Janet) Huang Chia-Chuan (Evelyn) Hung Jane Yung-jen Hsu From National Taiwan University 2008/03/26.
Hypersearching the Web, Chakrabarti, Soumen Presented By Ray Yamada.
More Than The Sum Of Its Parts outcomes of effective collaborations beyond libraries #laf2014
Query Expansion By: Sean McGettrick. What is Query Expansion? Query Expansion is the term given when a search engine adding search terms to a user’s weighted.
Flickr Tag Recommendation based on Collective Knowledge BÖrkur SigurbjÖnsson, Roelof van Zwol Yahoo! Research WWW Summarized and presented.
Digital artifacts for remebering and storytelling: PostHistory and Social Network Fragments F. B. Viegas, D boyd, D. H. Nguyen, J. Potter, and J. Donath.
Extracting Keyphrases from Books using Language Modeling Approaches Rohini U AOL India R&D, Bangalore India Bangalore
Modern Information Retrieval Presented by Miss Prattana Chanpolto Faculty of Information Technology.
UIC at TREC 2006: Genomics Track Wei Zhou, Clement T. Yu University of Illinois at Chicago Nov. 16, 2006.
Digital Libraries1 David Rashty. Digital Libraries2 “A library is an arsenal of liberty” Anonymous.
Information Retrieval
Commonsense Reasoning in and over Natural Language Hugo Liu, Push Singh Media Laboratory of MIT The 8 th International Conference on Knowledge- Based Intelligent.
The Accessible Social Computing Policy Jude Pineda CMPT480 December 5, 2015.
Collaborative Query Previews in Digital Libraries Lin Fu, Dion Goh, Schubert Foo Division of Information Studies School of Communication and Information.
Semantic Grounding of Tag Relatedness in Social Bookmarking Systems Ciro Cattuto, Dominik Benz, Andreas Hotho, Gerd Stumme ISWC 2008 Hyewon Lim January.
Artificial Intelligence Techniques Internet Applications 4.
The Development of a search engine & Comparison according to algorithms Sung-soo Kim The final report.
Social Information Processing March 26-28, 2008 AAAI Spring Symposium Stanford University
Text Information Management ChengXiang Zhai, Tao Tao, Xuehua Shen, Hui Fang, Azadeh Shakery, Jing Jiang.
Hui Fang (ACL 2008) presentation 2009/02/04 Rick Liu.
Pakistan Center of the region, rich in resources yet to be explored, understood and shared Pakistan.
CS791 - Technologies of Google Spring A Web­based Kernel Function for Measuring the Similarity of Short Text Snippets By Mehran Sahami, Timothy.
Using Commonsense Reasoning to Improve Voice Recognition.
Global Rangelands Data Entry Guidelines March 23, 2015.
Proposal for Term Project
Personalized Social Image Recommendation
Resource Lists workshop
Building an autonomous citation index for grey literature: the
Digital Storytelling With Primary Sources.
Presentation transcript:

Personal Tag Semantic Relation Yi-Ching Huang 2008/02/27 Yi-Ching Huang 2008/02/27

How to understand how a person thinks? Conversation User profile User’s past data User’s past tagging behavior

Cognitive speaking...

Cognitive process behind tagging R. Sinha. A cognitive analysis of tagging. World Wide Web electronic publication, 2005.

Problem Definition Input: a person’s bookmark collection url collection + tag collection Output personal tag similarity

Proposed Solution Assumption: the more frequency two tags co-occur on the same webpage, the more relevant two tags are Tag relative co-occurrence (Hasan-Montero & Herrero-Solana 2006) A B : # of documents in which tag A and tag B co-occur : # of documents in which appear in any one of the two tags : relative co-occurrence of tag A and tag B

Personal Tag Network janetyc’s personal tag relation network (148 tags)

Personal Tag Network janetyc’s personal tag relation network (30 tags)

Semantic Tag Netork semantic similarity analysis word-level: wordnet similarity (Pedersen, Patwardhan, & Michelizzi 2004) commonsense: conceptnet similarity (Shevade, Sundaram, & Xie 2007) word expansion spreading activation (Liu & Lieberman 2002),(Huang & Hsu 2006)

Procedure WordNet ConceptNet related tags Tag Relative Co-occurrence Semantic analysis (Concept & Word-level) Social Reinforcement (common tags) personal preference personal bookmark collection personal semantic relation relation reinforcement urls tags

Concept similarity use ConceptNet (Liu & Singh 2004) Concept similarity method tag context (getContext()) analogous tags (getAnalogous()) path length between tags

Spreading Activation photo image icon color photograph photoshop Reference: (Liu & Lieberman 2002),(Huang & Hsu 2006)

My Result janetyc’s personal tag relation network (148 tags)

My Result janetyc’s personal tag relation network (30 tags)

Reference [1] Y. Hasan-Montero and V. Herrero-Solana. Improving tag-clouds as a visual information retrieval interfaces. In Proceedings of International Conference on Multidisciplinary Information Sciences and Technologies, October [2] T.-h. Huang and J. Y.-j. Hsu. Beyond memories: Weaving photos into personal social networks. In G. Kaminka, D. Pynadath, and C. Geib, editors, Modeling Others from Observations: Papers from the AAAI Workshop, pages 29–36, Menlo Park, California, AAAI Press. [3] H. Liu and H. Lieberman. Robust photo retrieval using world semantics. In Proceedings of the 3rd International Conference on Language Resources And Evaluation Workshop: Using Semantics for Information Retrieval and Filtering (LREC2002), Canary Islands, Spain, [4] H. Liu and P. Singh. Conceptnet: A practical commonsense reasoning toolkit. BT Technology Journal, 22, [5] T. Pedersen, S. Patwardhan, and J. Michelizzi. Wordnet::similarity - measuring the relatedness of concepts. In Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI-04), pages 1024–1025, San Jose, CA, July [6] B. Shevade, H. Sundaram, and L. Xie. Modeling personal and social network context for event annotation in images. In JCDL ’07: Proceedings of the 2007 conference on Digital libraries, pages 127– 134, New York, NY, USA, ACM. [7] R. Sinha. A cognitive analysis of tagging. World Wide Web electronic publication, 2005.

backup-spreading activation heuristics to improve relevance (Liu & Lieberman 2002) reinforcement popularity reinforcement popularity

Backup-Spreading Activation algorithm (Huang & Hsu 2006)

Procedure WordNet ConceptNet related tags word expansion (spreading activation) common tags (top 10 tags) tag relative co-occurrence Semantic analysis (Concept & Word-level) relation reinforcement personal preference personal bookmark collection personal semantic relation