[AISWorld] Call for Book Chapters: “Cases on Open-Linked Data and Semantic Web Applications”

Patricia Ordonez de Pablos patriciaordonezdepablos at yahoo.com
Tue Jan 11 13:31:13 EST 2011


CALL FOR BOOK CHAPTER PROPOSALS
 
Chapter Proposal Submission: February 15, 2011
 
“Cases on Open-Linked Data and Semantic Web Applications”
                                                                                                                                                                                                 
A book edited by Dr. Patricia Ordoñez de Pablos (University of Oviedo, Spain)
Dr Miltiadis D. Lytras (American College of Greece, Greece) 
Dr Robert Tennyson (University of Minnesota, USA)
and Dr Jose Emilio Labra Gayo (University of Oviedo, Spain)
 
To be published by IGI Global: 
www.igi-global.com/AuthorsEditors/AuthorEditorResources/CallForBookChapters/CallForChapterDetails.aspx?CallForContentId=ca2c6f97-85f8-4e05-9dd5-01895e30bb0a
 
 
Introduction
Tim Berners-Lee coined the term “Linked Data” in his Linked Data Web architecture note. It refers to a way of publishing and interlinking structured data. Linked Data aims to enable people to share structured data on the Web as easily as they can share documents today. The basic assumption behind this term is that the usefulness and value of data increases the more it is interlinked. According to Tim Berners-Lee (2006), “like the web of hypertext, the web of data is constructed with documents on the web. However, unlike the web of hypertext, where links are relationships anchors in hypertext documents written in HTML, for data they link between arbitrary things described by RDF”.
 
The proposed book aims at helping in communicating and disseminating relevant recent research in open linked data and semantic web based personalization as applied to the context of Information Systems. 
                             
Objective of the Book
Linked Data literature proposes using the Web to connect related data that was not previously linked or to lower the barriers to currently linked data using other methods. More specifically, the basic elements of linked data are to: 1) use the RDF data model to publish structured data on the Web; and 2) use RDF links to interlink data from different data sources. The application of both principles leads to the creation of a data commons on the Web which is often called the Web of Data or Semantic Web.
The book collection will cover Open Linked Data and Semantic Web approaches to information systems and ontology-based information systems research, as well as the diverse underlying database and knowledge representation aspects that impact personalization and the customization. The chapters will also address challenges for this new field of research. Chapters dealing with aspects of both topics are especially sought.
 
The subject area is a combination of Web Semantic, Open Linked Data, Business, Management, Information Technologies and Information Systems.
 
Target Audience
 
§        Politicians 
§        Professors in academia
§        Policy Makers
§        Government officers
§        Students 
§        Corporate heads of firms
§        Senior general managers
§        Managing directors
§        Board directors
§        Academics and researchers in the field both in universities and business schools
§        Information technology directors and managers
§        Quality managers and directors
§        Human resource directors
§        Libraries and information centres serving the needs of the above
 
 
Recommended topics
The proposed book aims to be an international platform to bring together academics, researchers, lecturers, and persons in decision making positions, policy makers and practitioners from different backgrounds to share new theories, research findings and case studies, enhancing understanding and collaboration in open linked data in business and science and the role of information technologies and web semantics and analyse recent developments in theory and practice. 
 
Topics include, but are not limited to, the following:
 

Digital Data
FOAF (friend-of-a-friend) and FOAF-a-Matic
Linked data on the web
Web architecture
RDF data model
Vocabularies to represent information
Testing and Debugging Linked Data
Research Objects
Semantic Web Search Engine (SWSE)
Web Semantic
Case Studies
Semantic Web standard
 
 
Submission Procedure
Researchers and practitioners are invited to submit on or before February 15, 2011, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter.  Authors of accepted proposals will be notified by February 28, 2011 about the status of their proposals and sent chapter guidelines.  Full chapters are expected to be submitted by April 15, 2011. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
 
Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference) and “Medical Information Science Reference” imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2012.
 
Important Dates
 
February 15, 2011:                 Proposal Submission Deadline
February 28, 2011:                 Notification of Acceptance
April 15, 2011:                         Full Chapter Submission
May 30, 2011:                           Review Results Returned
 
Inquiries and submissions can be forwarded electronically to:
 
Dr.  Patricia Ordoñez de Pablos
University of Oviedo, Spain
E-mail: patriop at uniovi.es
 
 
With CC to:
Dr Miltiadis D. Lytras
American College of Greece, Greece
Email: miltiadis.lytras at gmail.com
 
Dr Robert Tennyson 
University of Minnesota, USA
rdtennyson at gmail.com 
                                                                                                                                         
Dr José Emilio Labra
University of Oviedo, Spain
Email: labra at uniovi.es


      
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