T OWARDS S UPPORTING THE T EACHING OF H ISTORY U SING AN I NTELLIGENT I NFORMATION S YSTEM THAT R ELIES ON THE E LECTRONIC R OAD M ETAPHOR Manolis Wallace.

Slides:



Advertisements
Similar presentations
GMD German National Research Center for Information Technology Darmstadt University of Technology Perspectives and Priorities for Digital Libraries Research.
Advertisements

National Technical University of Athens Department of Electrical and Computer Engineering Image, Video and Multimedia Systems Laboratory
Multimedia Database Systems
T.Sharon - A.Frank 1 Internet Resources Discovery (IRD) Classic Information Retrieval (IR)
Intelligent Information Retrieval CS 336 Lisa Ballesteros Spring 2006.
ADVISE: Advanced Digital Video Information Segmentation Engine
Supervised by Prof. LYU, Rung Tsong Michael Department of Computer Science & Engineering The Chinese University of Hong Kong Prepared by: Chan Pik Wah,
6/16/20151 Recent Results in Automatic Web Resource Discovery Soumen Chakrabartiv Presentation by Cui Tao.
Information Retrieval Concerned with the: Representation of Storage of Organization of, and Access to Information items.
A Mobile World Wide Web Search Engine Wen-Chen Hu Department of Computer Science University of North Dakota Grand Forks, ND
INFORMATION RETRIEVAL WEEK 1 AND 2
Information Access Douglas W. Oard College of Information Studies and Institute for Advanced Computer Studies Design Understanding.
Modern Information Retrieval Chapter 1 Introduction.
Search engines. The number of Internet hosts exceeded in in in in in
Hellenic Open University (HOU) Founded in 1997 Greek State University that provides distance education in both undergraduate and postgraduate levels The.
A fuzzy video content representation for video summarization and content-based retrieval Anastasios D. Doulamis, Nikolaos D. Doulamis, Stefanos D. Kollias.
Personalized Ontologies for Web Search and Caching Susan Gauch Information and Telecommunications Technology Center Electrical Engineering and Computer.
CONTI’2008, 5-6 June 2008, TIMISOARA 1 Towards a digital content management system Gheorghe Sebestyen-Pal, Tünde Bálint, Bogdan Moscaliuc, Agnes Sebestyen-Pal.
Librarians Prepare for their Global Information Role in the 21 st Century Hannelore B. Rader University of Louisville Louisville, Kentucky, US January.
SEC Online Highlights Content Analysis of International Standards & Assessments SEC-ELL Project & Hybrid Instruments What Makes Schools Work (WMSW)
Curriculum development A brief guide to the construction of relevant curricula.
Chapter 7 Web Content Mining Xxxxxx. Introduction Web-content mining techniques are used to discover useful information from content on the web – textual.
LIS 506 (Fall 2006) LIS 506 Information Technology Week 11: Digital Libraries & Institutional Repositories.
Information Retrieval and Knowledge Organisation Knut Hinkelmann.
WHAT IS A SEARCH ENGINE. Widescreen Presentation Proteus, Keeper of Knowledge. Proteus is synonymous with change and success.
DAY 2: TIPS ON SEARCHING WISELY Robert Phipps August
7. Approaches to Models of Metadata Creation, Storage and Retrieval Metadata Standards and Applications.
Xiaoying Gao Computer Science Victoria University of Wellington Intelligent Agents COMP 423.
D AFFODIL Strategic Support Evaluated Claus-Peter Klas Norbert Fuhr Andre Schaefer University of Duisburg-Essen.
Information Literacy Workshop Association of Architecture School Librarians Houston, TX – April 27, 2008.
Introduction to Digital Libraries hussein suleman uct cs honours 2003.
DAY 2: TIPS ON SEARCHING WISELY Tazin Afrin August 22,
Workshop on Software Product Archiving and Retrieving System Takeo KASUBUCHI Hiroshi IGAKI Hajimu IIDA Ken’ichi MATUMOTO Nara Institute of Science and.
IS 325 Notes for Wednesday August 28, Data is the Core of the Enterprise.
Search Engine Architecture
The Anatomy of a Large-Scale Hyper textual Web Search Engine S. Brin, L. Page Presenter :- Abhishek Taneja.
Technology in the Language Arts Classroom Kurt Wachowski Education 504 Holy Family University
How do I find works in the Repository?. University of Texas Libraries UT DR Digital Repository Search in the Repository Keyword search from the Repository.
The Savvy Cyber Teacher ® Using the Internet Effectively in the K-12 Classroom 1 Copyright © 2003 Stevens Institute of Technology, CIESE, All Rights Reserved.
Next Generation Search Engines Ehsun Daroodi 1 Feb, 2003.
Introduction to Information Retrieval Aj. Khuanlux MitsophonsiriCS.426 INFORMATION RETRIEVAL.
The folksonomy tag cloud: when is it useful? James Sinclair and Michael Cardew-Hall Department of Engineering, The Australian National University, Canberra,
Introduction to Information Retrieval Example of information need in the context of the world wide web: “Find all documents containing information on computer.
Digital Libraries1 David Rashty. Digital Libraries2 “A library is an arsenal of liberty” Anonymous.
Contact : Bernadette Bouchon-Meunier, Patrick Gallinari, Jean-Gabriel Ganascia LIP6, UPMC, 8 rue du Capitaine Scott, Paris, France
Data Mining, ICDM '08. Eighth IEEE International Conference on Duy-Dinh Le National Institute of Informatics Hitotsubashi, Chiyoda-ku Tokyo,
Information Retrieval
A Novel Visualization Model for Web Search Results Nguyen T, and Zhang J IEEE Transactions on Visualization and Computer Graphics PAWS Meeting Presented.
Millman—Nov 04—1 An Update on Digital Libraries David Millman Director of Research & Development Academic Information Systems Columbia University
L&I SCI 110: Information science and information theory Instructor: Xiangming(Simon) Mu Sept. 9, 2004.
SAPIR Search in Audio-Visual Content using P2P Information Retrival For more information visit: Support.
Content-Based MP3 Information Retrieval Chueh-Chih Liu Department of Accounting Information Systems Chihlee Institute of Technology 2005/06/16.
Xiaoying Gao Computer Science Victoria University of Wellington COMP307 NLP 4 Information Retrieval.
Chapter Three Presentation: User interface How to Build a Digital Library Ian H. Witten and David Bainbridge.
DAY 2: EFFECTIVE INTERNET SEARCHES Sravanthi Lakkimsetty January 13,
Information Storage and Retrieval Fall Lecture 1: Introduction and History.
Information Organization: Overview
INTERNET IN EDUCATION UNIT- 5
Introduction Multimedia initial focus
Information Retrieval and Web Search
Search Engine Architecture
Personalized Social Image Recommendation
Information Retrieval and Web Search
Multimedia Information Retrieval
Business Information Systems
Multimedia Information Retrieval
Web Mining Department of Computer Science and Engg.
Search Engine Architecture
Performance and Scalability Issues of Multimedia Digital Library
Information Organization: Overview
Presentation transcript:

T OWARDS S UPPORTING THE T EACHING OF H ISTORY U SING AN I NTELLIGENT I NFORMATION S YSTEM THAT R ELIES ON THE E LECTRONIC R OAD M ETAPHOR Manolis Wallace 1, Mary Stefanou 2, Kostas Karpouzis 1 and Stefanos Kollias 1 1 Image, Video and Multimedia Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Greece 2 Department of History and Archaeology, School of Philosophy, National Kapodistrian University of Athens

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 O UTLINE Goals of the teaching of history Accessible historical sources Digitized data Existing information systems Searching and browsing The electronic road metaphor Correlating historical sources Architecture Electronic road analysis Conclusions

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 T EACHING OF H ISTORY – G OALS - I compare historical facts or phenomena find similarities and differences among them comprehend the credibility of the historical narration it relies on the proper use of the sources approach different kinds of historical sources compare important historical figures based on their actions their total offer

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 T EACHING OF H ISTORY - G OALS - II associate and correlate facts, periods, ideals and civilizations of different periods and areas

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 T EACHING OF H ISTORY - G OALS - III comprehend the correlation of historical elements synchronically diachronically historical facts with contemporary facts All are related to access to large amounts of diverse historical sources

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 T EACHING OF H ISTORY – S OURCES - I Text book Photocopies by the teacher Library - recommended by the teacher Library - own search Electronic libraries Internet

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 T EACHING OF H ISTORY – S OURCES - II Recommended sources Limited numbers of sources Teacher’s bias Simple summarization Own research Huge numbers of sources Selection is critical Prior knowledge is needed to select sources

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 D IGITIZED D ATA Anytime – anyplace access Reusability of resources Cost effective approach Storage Duplication Transport Automated search and retrieval

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 E XISTING I NFORMATION S YSTEMS - I General purpose search engines: google, yahoo, lycos, etc. and encyclopedias Only keyword searches are possible  Knowledge needed to form proper queries Numerous unrelated documents  Knowledge needed to filter results Unreliable sources  Knowledge needed to evaluate sources

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 E XISTING I NFORMATION S YSTEMS - II Topic specific search engines: argos, perseus, etc. and encyclopedias: TLG, PHI, etc. Search based on keywords and metadata  Little knowledge needed to form proper queries Documents are not cross-related  Knowledge needed to locate related sources  Knowledge needed to identify source correlations

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 S EARCHING AND B ROWSING - I Expert users Need to locate specific sources Are able to describe the documents that satisfy their needs Need to perform a search Pupils Need to locate sources about some subject Are not able to describe the documents that are related to their needs Need to browse through documents

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 S EARCHING AND B ROWSING - II Documents are related to terms and metadata Users specify queries System selects matching documents Only used for searching Not applicable for pupils - they cannot search efficiently

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 S EARCHING AND B ROWSING - III Documents are related to terms and metadata Documents are related to each other Similar documents are automatically estimated Knowledge needed to select among similar documents Pupils can utilize this structure if supervised

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 T HE E LECTRONIC R OAD M ETAPHOR - I Documents in a browsing session specify a context Context can be used to filter similar documents Context can be used to propose other documents

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 T HE E LECTRONIC R OAD M ETAPHOR - II Browsing forms a “road” in the document space Only documents in the right “direction” are proposed to the user when browsing This recommendation may substitute teacher’s supervision

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 C ORRELATING H ISTORICAL S OURCES - I Location Time (of content) Time (of creation) Location (of content) Location (of creation) Author Etc.

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 C ORRELATING H ISTORICAL S OURCES - II Historical term (revolution, treaty, etc.) Participating figures and people Conditions and factors Causes and consequences Etc.

ICALT 2003, Athens, Greece Wednesday, July 9, 2003

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 A RCHITECTURE Digital library Documents Metadata Relations Electronic road analysis module Context Document recommendation module Interfaces, document similarity estimation module, search module

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 E LECTRONIC R OAD A NALYSIS Exact topic of user quest is never known with certainty Fuzzy algebra and fuzzy weighting of features is applied Topic may shift as a result of system feedback Document importance lessens with distance from current document Distance is measured in count of steps in the electronic road

ICALT 2003, Athens, Greece Wednesday, July 9, 2003 C ONCLUSIONS Handling of historical sources is of major for the achievement of the goals of teaching history Access to digitized sources is imperative Pupils do not possess the knowledge / experience to use existing systems unsupervised The electronic road metaphor is proposed to support pupils in browsing historical documents without the need for supervision

T OWARDS S UPPORTING THE T EACHING OF H ISTORY U SING AN I NTELLIGENT I NFORMATION S YSTEM THAT R ELIES ON THE E LECTRONIC R OAD M ETAPHOR Manolis Wallace 1, Mary Stefanou 2, Kostas Karpouzis 1 and Stefanos Kollias 1 1 Image, Video and Multimedia Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Greece 2 Faculty of History and Archaeology, School of Philosophy, National Kapodistrian University of Athens