Using SensorML to describe scientific workflows in distributed web service environments

Abstract

Scientific Workflows provides a technology that facilitates researchers by allowing them to capture in a machine processable manner the method relating to some research. This increases both provenance and repeatability of the research and allows for increased collaboration through workflow sharing. The Sensor Web is an open complex adaptive system the pervades the internet and provides access to sensor resources. One mechanism for describing sensor resources is through the use of Sensor ML. It is shown that Sensor ML can be used as a mechanism for describing Scientific Workflows and thus facilitates completely distributed workflow descriptions on the web. However in order to fully capture the requirements as relating to open and distributed environments some extensions to Sensor ML will be required.