[Asis-l] Call for Book Chapters: Social Information Retrieval Systems

[Goh Hoe Lian, Dion (Dr)]

CALL FOR BOOK CHAPTERS

Social Information Retrieval Systems: Emerging Technologies and
Applications for Searching the Web Effectively

Editors: Dion H. Goh and Schubert Foo, Nanyang Technological University,
Singapore
Publisher: Idea Group Inc.

Proposal Submission Deadline: 31 December 2005


INTRODUCTION

With the increasing popularity of the Internet, people have now come to
depend more on the Web, digital libraries and other information
retrieval systems to search for information. However the performance of
existing search engines has often been unsatisfactory in meeting users'
information needs due to the enormous amount of information returned,
exacerbated by the fact that not all of these results are relevant nor
of acceptable quality. This has thus led to a situation where users are
swamped with too much information, resulting in difficulty sifting
through documents in search of relevant content.

A variety of techniques have been adopted on the Web to address these
problems inherent in information search. These range from engaging human
experts to judge the relevance of Web sites to innovative algorithms
that determine relevance by the characteristics of links found between
sites. Research in information seeking behavior suggests an alternative
promising approach in helping users meet their information needs. Many
studies have found that interaction and collaboration with other people
is an important part in the process of information seeking and use. It
is not uncommon that in searching for information, we tap on our social
networks - friends, colleagues, librarians, etc., to help locate what we
need.

Social information retrieval refers to a family of techniques that
assist users in obtaining information to meet their information needs by
harnessing other users' expert knowledge or search experience. Examples
include sharing of queries, social bookmarking and tagging, social
network analysis, subjective relevance judgments, and collaborative
filtering. The area provides a promising avenue for the design and
implementation of a new generation of information retrieval systems.

Social Information Retrieval Systems: Emerging Technologies and
Applications for Searching the Web Effectively presents current
state-of-the-art developments in this area and also includes case
studies, challenges and trends. Contributors will have the opportunity
to inform and educate academics, researchers, information retrieval
product managers and software developers, librarians and students in the
area of social information retrieval.


TOPICS

Recommended topics include, but are not limited to, the following:

* Algorithms, software components and tools
* Applications and case studies
* Architectural, design and implementation issues
* Classification and indexing
* Collaborative browsing
* Collaborative digital reference services
* Collaborative filtering and recommender systems
* Collaborative querying
* Content delivery
* Cooperative software agents for information retrieval
* Enabling technologies and applications
* Evaluation of systems, algorithms and interfaces
* Information extraction and mining
* Information retrieval in computer-supported collaborative
work/groupware systems
* Information visualization
* Ontology-based services
* Personalization
* Privacy and security
* Social informatics
* Social information seeking models
* Social networks and information retrieval
* Social tagging and bookmarking
* Trends and challenges
* Usability
* User and community needs and behavior
* User interfaces


SUBMISSION INFORMATION

Potential contributors are invited to submit a 2-5 page chapter proposal
by 31 December 2005 detailing the background, motivations and structure
of the proposed chapter. Authors of accepted proposals will be notified
by 31 January 2006 on the status of their proposals and sent chapter
organizational guidelines. Full chapters are due on 31 May 2006 and
should be at least 8,000-9,000 words in length. All submitted chapters
will be reviewed on a double-blind review basis. Final revised
manuscripts are due on 31 August 2006.

The book is scheduled to be published by Idea Group Inc.,
www.idea-group.com, publisher of the Idea Group Publishing, Information
Science Publishing, IRM Press, CyberTech Publishing and Idea Group
Reference imprints in 2008. 

Chapter proposal due: 	31 December 2005
Notification of acceptance: 	31 January 2006
Full chapter due:	31 May 2006
Notification:	31 July 2006
Revised chapter due: 	31 August 2006


INQUIRIES AND SUBMISSIONS

Inquiries and submissions (Microsoft Word files) should be sent by
e-mail to:

Dr. Dion Goh (Email: ashlgoh at ntu.edu.sg)

Other contact information:
School of Communication and Information
Nanyang Technological University
31 Nanyang Link, Singapore 637718
SINGAPORE
Tel: (65) 6790 6290	Fax: (65) 6791-5214
Web site: http://www.ntu.edu.sg/home/ashlgoh/social-ir/