Abstract
Wide range of expertise and technologies are the key to solving some global problems. Semantic web technology can revolutionize the nature of how scientific knowledge is produced and shared. The semantic web is all about enabling machine-machine readability instead of a routine human-human interaction. Carefully structured data, as in machine readable data is the key to enabling these interactions. Drupal is an example of one such toolset that can render all the functionalities of Semantic Web technology right out of the box. Drupal’s content management system automatically stores the data in a structured format enabling it to be machine. In this article we will discuss how Drupal promotes collaboration in a research setting such as Oak Ridge National Laboratory (ORNL) and Long Term Ecological Research Center (LTER) and how it is effectively using the Semantic Web in achieving this.
Highlights
As we all know collaboration at the department level or at the institutional level is becoming more and more common in the recent times
In a “Memorandum for the Heads of Executive Departments and Agencies” released by the White House on June 21 2010, the Obama Administration stresses on the importance of collaboration at the national and regional levels to link, leverage and align resources and to make taxpayer dollars as costeffective as possible [1]
By scientists concentrating on creating the content and community developers working on the content management system (CMS) enhancements per Web 2.0, Drupal is quickly transforming into a powerful collaborative framework solution in the scientific research
Summary
In a “Memorandum for the Heads of Executive Departments and Agencies” released by the White House on June 21 2010, the Obama Administration stresses on the importance of collaboration at the national and regional levels to link, leverage and align resources and to make taxpayer dollars as costeffective as possible [1]
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