[Eurchap] New Book > Folksonomies: Indexing and Retrieval in Web 2.0

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---Apologies for cross-posting---
 
Colleagues/
 
New Book on Folksonomies recently published!
It summarizes the extensive scientific discussion about folksonomies and points out the value of folksonomies in the areas of knowledge representation and information retrieval. 
 
/Wolf
 
Isabella Peters: Folksonomies. Indexing and Retrieval in Web 2.0, 2009, Berlin: de Gruyter, Saur, 443p., ISBN: 978-3598251795.
 
 
Preface
 
In Web 2.0 users not only make heavy use of Collaborative Information Services in order to create, publish and share digital information resources – what is more, they index and represent these resources via own keywords, so-called tags. The sum of this user-generated metadata of a Collaborative Information Service is called Folksonomy. In contrast to professionally created and highly structured metadata, e.g. subject headings, thesauri, classification systems or ontologies, which are applied in libraries, corporate information architectures or commercial databases and which were developed according to defined standards, tags can be freely chosen by users and attached to any information resource. As one type of metadata Folksonomies provide access to information resources and serve users as retrieval tool in order to retrieve own resources as well as to find data of other users.
 
The book delivers insights into typical applications of Folksonomies, especially within Collaborative Information Services, and discusses the strengths and weaknesses of Folksonomies as tools of knowledge representation and information retrieval. Moreover, it aims at providing conceptual considerations for solving problems of Folksonomies and presents how established methods of knowledge representation and models of information retrieval can successfully be transferred to them.
 
Table of Contents
 
1) Introduction
Current State of Research
Open Questions in Folksonomy Research
Notes on the Book’s Structure
Bibliography
 
2) Chapter 1: Collaborative Information Services
Web 2.0 vs Social Software vs Collaborative Information Services
Social Bookmarking Services
E-Commerce
Commercial Information Services
Music-Sharing Services
Libraries 2.0 – Museums
Photosharing Services
Videosharing Services
Social Networks
Blogs and Blog Search Engines
Games with a Purpose (GWAP) – Tagging Games
Summary
Bibliography
 
3) Chapter 2: Basic Terms in Knowledge Representation and Information Retrieval
Introduction to Knowledge Representation
Paradigmatic and Syntagmatic Relations
Ontologies
Thesauri
Classification Systems
Nomenclatures
Text-Word Method
Citation Indexing
Knowledge Representation in the World Wide Web
Introduction to Information Retrieval
Relevance Distributions
Retrieval Models
Text Statistics
Vector Space Model
Probabilistic Model
Link Topology – Kleinberg Algorithm and PageRank
Information Linguistics – NLP 
Similarity Coefficients and Cluster Analysis
Network Model
Bibliography
 
4) Chapter 3: Knowledge Representation in Web 2.0: Folksonomies
Definition of the Term ‘Folksonomy’
Tags – Users – Resources 
Cognitive Skills
Broad vs Narrow Folksonomies
Collective Intelligence
Tag Distributions
Users’ Tagging Behavior
Tag Categories
Tag Recommender Systems
Advantages and Disadvantages of Folksonomies in Knowledge
Representation
Problem-Solving and Structuring Endeavors in Folksonomies
Tag Gardening in Knowledge Representation
Traditional Methods of Knowledge Representation vs Folksonomies
Outlook
Bibliography
 
5) Chapter 4: Information Retrieval with Folksonomies
The Relation between Knowledge Representation and Information
Retrieval
Searching vs Browsing vs Retrieving
Information Filters – Information Filtering – Collaborative Filtering
Folksonomy-Based Recommender Systems in Information Retrieval
Retrieval Effectiveness of Folksonomies
Visualizations of Folksonomies
Disadvantages of Folksonomies in Information Retrieval
Query Tags as Indexing Tags
Relevance Ranking in Folksonomies
Power Tags
Tag Gardening in Information Retrieval
Outlook
Bibliography
 
6) Conclusion
Bibliography 
Index of Names 
Subject Index
 
 
Target Groups
 
“Target groups are librarians, information architects, knowledge managers, Web 2.0 aficionados and students of library and information science, computer science and computer linguistics.”
 
Book is available via: http://www.degruyter.com/cont/imp/saur/detailEn.cfm?id=IS-9783598251795-1. 
 
Enjoy Reading,
 
Regards
Wolf
 


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