Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively
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Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively Dion Goh Nanyang Technological University, Singapore Schubert Foo Nanyang Technological University, Singapore INFORMATION SCIENCE REFERENCE Hershey • New York Acquisitions Editor: Kristin Klinger Development Editor: Kristin Roth Senior Managing Editor: Jennifer Neidig Managing Editor: Sara Reed Copy Editor: Maria Boyer Typesetter: Cindy Consonery Cover Design: Lisa Tosheff Printed at: Yurchak Printing Inc. Published in the United States of America by Information Science Reference (an imprint of IGI Global) 701 E. Chocolate Avenue, Suite 200 Hershey PA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: [email protected] Web site: http://www.igi-global.com/reference and in the United Kingdom by Information Science Reference (an imprint of IGI Global) 3 Henrietta Street Covent Garden London WC2E 8LU Tel: 44 20 7240 0856 Fax: 44 20 7379 0609 Web site: http://www.eurospanonline.com Copyright © 2008 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher. Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark. Library of Congress Cataloging-in-Publication Data Social information retrieval systems : emerging technologies and applications for searching the Web effectively / Dion Goh & Schubert Foo, editors. p. cm. Summary: "This book provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering.Answering the increasing demand for authoritative resources on Internet technologies, this will make an indispensable addition to any library collection"-- Provided by publisher. Includes bibliographical references and index. ISBN-13: 978-1-59904-543-6 (hardcover) ISBN-13: 978-1-59904-545-0 (ebook) 1. Internet searching. 2. Web search engines. 3. World Wide Web--Subject access. 4. Information storage and retrieval systems. 5. Information retrieval. I. Goh, Dion. II. Foo, Schubert. ZA4230.S63 2008 025.04--dc22 2007023437 British Cataloguing in Publication Data A Cataloguing in Publication record for this book is available from the British Library. All work contributed to this book set is original material. The views expressed in this book are those of the authors, but not necessarily of the publisher. Table of Contents Preface .................................................................................................................................................xiii Acknowledgment ..............................................................................................................................xviii Section I Collaborative Querying Chapter I Collaborating to Search Effectively in Different Searcher Modes Through Cues and Specialty Search / Naresh Kumar Agarwal and Danny C.C. Poo ................................................... 1 Chapter II Collaborative Querying Using a Hybrid Content and Results-based Approach / Chandrani Sinha Ray, Dion Hoe-Lian Goh, Schubert Foo, Nyein Chan Soe Win, and Khasfariyati Razikin....................................................................................................................... 31 Section II Collaborative Classification and Organization Chapter III Collaborative Classification for Group-Oriented Organization of Search Results / Keiichi Nakata and Amrish Singh ....................................................................................................... 47 Chapter IV A Case Study of Use-Centered Descriptions: Archival Descriptions of What Can Be Done with a Collection / Richard Butterworth ................................................................................ 67 Chapter V Metadata for Social Recommendations: Storing, Sharing, and Reusing Evaluations of Learning Resources / Riina Vuorikari, Nikos Manouselis, and Erik Duval ..................................... 87 Section III Using Social Networks for Information Retrieval Chapter VI Social Network Models for Enhancing Reference-Based Search Engine Rankings / Nikolaos Korfiatis, Miguel-Ángel Sicilia, Claudia Hess, Klaus Stein, and Christoph Schlieder ..... 109 Chapter VII From PageRank to Social Rank: Authority-Based Retrieval in Social Information Spaces / Sebastian Marius Kirsch, Melanie Gnasa, Markus Won, and Armin B. Cremers ................ 134 Chapter VIII Adaptive Peer-to-Peer Social Networks for Distributed Content-Based Web Search / Le-Shin Wu, Ruj Akavipat, Ana Gabriela Maguitman, and Filippo Menczer .............. 155 Section IV Social Issues Chapter IX The Ethics of Social Information Retrieval / Brendan Luyt and Chu Keong Lee .............................. 179 Chapter X The Social Context of Knowledge / Daniel Memmi ........................................................................... 189 Section V Social Information Seeking Models Chapter XI Social Information Seeking in Digital Libraries / George Buchanan and Annika Hinze ................... 209 Chapter XII Relevant Intra-Actions in Networked Environments / Theresa Dirndorfer Anderson ....................... 230 Chapter XIII Publication and Citation Analysis as a Tool for Information Retrieval / Ronald Rousseau ............... 252 Section VI Applications and Case Studies in Social Information Retrieval Chapter XIV Personalized Information Retrieval in a Semantic-Based Learning Environment / Antonella Carbonaro and Rodolfo Ferrini ....................................................................................... 270 Chapter XV Multi-Agent Tourism System (MATS) / Soe Yu Maw and Myo-Myo Naing ...................................... 289 Chapter XVI Hybrid Recommendation Systems: A Case Study on the Movies Domain / Konstantinos Markellos, Penelope Markellou, Aristotelis Mertis, Ioanna Mousourouli, Angeliki Panayiotaki, and Athanasios Tsakalidis ............................................ 311 Compilation of References ............................................................................................................... 336 About the Contributors ....................................................................................................................365 Index ...................................................................................................................................................373 Detailed Table of Contents Preface ..........................................................................................................................................xiii Acknowledgment ........................................................................................................................xviii Section I Collaborative Querying Chapter I Collaborating to Search Effectively in Different Searcher Modes Through Cues and Specialty Search / Naresh Kumar Agarwal and Danny C.C. Poo .............................................1 Searchers generally have difficulty searching into knowledge repositories because of the quantity of data involved and because searcher mechanisms are not tailored to their differing needs at different points in time. Also, every searcher generally searches alone without taking into account other users with similar search needs or experience. While the Internet may have contributed to information over- load, the connectivity it has provides the potential to different searchers to collaborate when looking for information. In this chapter the authors: (1) review concepts related to social information retrieval and existing collaborative mechanisms; (2) discuss two collaborative mechanismscues and specialty search; and (3) see cues and specialty search in the context of the changing needs of a searcher in one of four modes. A case study of an online portal for the Singapore education community is used to show how collaboration could enhance learning and search efficacy. Chapter II Collaborative Querying Using a Hybrid Content and Results-Based Approach / Chandrani Sinha Ray, Dion Hoe-Lian Goh, Schubert Foo, Nyein Chan Soe Win, and Khasfariyati Razikin.................................................................................................................31 Collaborative querying is a technique that makes use of past users’ search experiences in order to help the current user formulate an appropriate query. In this technique, related queries are extracted from query logs and clustered. Queries from these clusters that are related to the user’s query are then recom- mended to the user. This work uses a combination of query terms as well as result documents returned by queries for clustering queries. For the latter, it extracts features such as titles, URLs, and snippets from the result documents. It also proposes an extended K-means clustering algorithm for clustering queries over a simple measure of overlap. Experimental results reveal that the best clusters are obtained by using a combination of these sources rather than using only query terms or only result URLs alone. Section II Collaborative Classification and Organization Chapter III Collaborative Classification for Group-Oriented Organization of Search Results / Keiichi Nakata and Amrish