- From: Danny Ayers <danny.ayers@gmail.com>
- Date: Fri, 18 Dec 2009 20:25:56 +0100
- To: David Wood <david@zepheira.com>
- Cc: public-lod <public-lod@w3.org>
- Message-ID: <1f2ed5cd0912181125s3682429dof46a36b174827380@mail.gmail.com>
Don't think I've anything fresh to contribute, but will be more than happy to do some of the proof-read stuff. Get the stories right... 2009/12/18 David Wood <david@zepheira.com> > Hi all, > > Eric Miller, Uche Ogbuji and I are editing a new book for Springer to be > entitled _Linking_Enterprise_Data_. This message contains the Call for > Chapters. > > I hope some of you have great stories to tell regarding the application of > Linked Data to practical problems in information management. We would love > to hear them. > > Happy holidays. > > Regards, > Dave > > > CHAPTER PROPOSALS INVITED FROM RESEARCHERS AND PRACTITIONERS IN DATA > MANAGEMENT AND WEB INFORMATION SYSTEMS > 1st Proposal Submission Deadline: January 31, 2010 > Full Chapter Submission Deadline: April 15, 2010 > > Linking Enterprise Data > > A book edited by David Wood, Eric Miller and Uche Ogbuji, Zepheira, USA > > To be published by Springer Science+Business Media > > I. Introduction > > Linking Enterprise Data is the application of Semantic Web architecture > principles to real-world information management issues faced by commercial, > not-for-profit and government enterprises. The term LED is a play on > Linking Open Data (LOD), a community project started by the World Wide Web > Consortium's Semantic Web Education and Outreach Interest Group aimed at > exposing data sets to the Web in standard formats and actively relating them > to one another with hyperlinks. > > Enterprise data is growing at a much faster rate than traditional > technologies allow. The World Wide Web is the only information system we > know that scales to the degree that it does and is robust to both changes > and failure of components. Most software does not work nearly as well as the > Web does. Applying the Web's architectural principles (not necessarily the > public World Wide Web itself) for enterprise problems may be the only way to > effectively address the current and future information glut. Challenges > remain, however, because the use of distributed architectures requires > enterprises to give up the central control and planning traditionally > applied by IT departments. > > II. Objective of the Book > > This book aims to provide practical approaches to addressing common > information management issues by the application of Semantic Web and Linked > Data research to production environments. The approaches taken are based on > international standards. The book is to be written and edited by leaders in > Semantic Web and Linked Data research and standards development and early > adopters of Semantic Web and Linked Data standards and techniques. > > III. Target Audience > > This book is meant for Semantic Web researchers and academicians, and CTOs, > CIOs, enterprise architects, project managers and application developers in > commercial, not-for-profit and government organizations concerned with > scalability, flexibility and robustness of information management systems. > Not-for-profit organizations specifically include the library and museum > communities. > > Recommended topics include, but are not limited to, the following: > - Business, technical and social values of applying Web architecture to > enterprise content, such as the means by which deployment agility, > resilience and reuse of data may be accomplished > - Building of social (human-centered) communities to curate distributed > data > - Enterprise infrastructure for Linking Enterprise Data > - Persistent Identifiers for the Web, life sciences, libraries and memory > organizations > - Linking the government cloud > - Applications of Linked Data to enterprises, such as drug discovery, > clinical information, organizational learning or curation of/access to > distributed information > - Publishing large-scale Linked Data > > IV. Publisher > > This book is scheduled for publication by Springer Science+Business Media. > For additional information regarding the publisher, please visit > http://www.springer.com. This publication is scheduled to be released in > 2011. > > V. Important Dates > > January 31, 2010: Proposal Submission Deadline > February 15, 2010: Notification of Acceptance > April 2, 2010: Full Chapter Submission > April 16, 2010: Review Results Notification > May 7, 2010: Revised Chapter Submission > May 14, 2010: Final Decision Notification > May 28, 2010: Final Revised and Formatted Chapter Submission > > > Inquiries and submissions should be sent by electronic mail to: > > David Wood > Partner > Zepheira > david+led@zepheira.com <david@zepheira.com> > > -- http://danny.ayers.name
Received on Friday, 18 December 2009 19:27:24 UTC