Call for Chapters Extended: Linking Government Data
David Wood has extended the Call for Chapters for a new book to be entitled Linking Government Data. First proposal submissions are due December 31, 2010 to email@example.com. Please put the words “Linking Government Data” in the Subject header of your email.
The book is intended to be published in print, ebooks format and on the Web by Springer.
CHAPTER PROPOSALS INVITED FROM RESEARCHERS AND PRACTITIONERS IN LINKED DATA, DATA MANAGEMENT AND WEB INFORMATION SYSTEMS
1st Proposal Submission Deadline: December 31, 2010
Full Chapter Submission Deadline: March 31, 2011
Linking Government Data
A book edited by David Wood, 3 Round Stones, Inc USA
Linking Government Data is the application of Semantic Web architecture principles to real-world information management issues faced by government agencies. The term LGD 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.
Data in general 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 to government information distribution programs may be the only way to effectively address the current and future information glut. Challenges remain, however, because the publication of data to the Web requires government agencies to give up the central control and planning traditionally applied by IT departments.
A primary goal of this book is to highlight both costs and benefits to broader society of the publication of raw data to the Web by government agencies. How might the use of government Linked Data by the Fourth Estate of the public press change societies? How can agencies fulfill their missions with less cost? How must intra-agency culture change to allow public presentation of Linked Data? What the means and methods by which Linked Data can best be published by government agencies?
This book follows the successful publication of Linking Enterprise Data by Springer Science+Business Media in November 2010.
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 government environments and to report early experiences with the publication of Linked Data by government agencies. 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.
Recommended topics include, but are not limited to, the following: – social, technical and mission values of applying Web architecture to government content, such as the means by which deployment agility, resilience and reuse of data may be accomplished – Relating to other eGov initiatives – Building of social (human-centered) communities to curate distributed data – Enterprise infrastructure for Linking Government Data – Persistent Identifiers – Linking the government cloud – Applications of Linked Data to government transparency, organizational learning or curation of/access to distributed information – Publishing large-scale Linked Data.
Contributions from those working with government Linked Data projects of all sizes are sought. Many stories exist from the U.S. and U.K. government agencies, but contributions from Estonia, Germany, New Zealand, Norway, etc, etc, are more than welcome.
The book is intended to be published in print, ebooks format and on the Web. The publisher will be Springer. This book is expected to be published in late 2011.
Please note that Springer will require each author to sign over copyright to their chapter submissions. Authors will not be paid for their work. However, as with Linking Enterprise Data, the entire book will be available freely on the Web in HTML as well as in traditional book form.
Proposals for chapters should consist of a summary of intended material, approximately 1-2 pages in length. Please provide a working chapter title, authors names and affiliations, relevant experience with Linked Data projects for a government entity (or approaches applicable to such entities) and a description of the proposed chapter’s contents.
VI. Important Dates
December 31, 2010: Proposal Submission Deadline
January 22, 2011: Notification of Proposal Acceptance
March 31, 2011: Full Chapter Submission
April 21, 2011: Review Results Notification
May 15, 2011: Revised Chapter Submission
June 1, 2011: Final Decision Notification
June 15, 2011: Final Revised and Formatted Chapter Submission
Inquiries and submissions should be sent by electronic mail to:
David Wood (firstname.lastname@example.org)