Greetings, A main topic we discussed in the geospatial thread of last years Apache Big Data conference was the application of Apache Machine Learning projects to geospatial data. With that in mind, I bring to your attend this call for participation:
OGC Calls for Participation in Major Innovation Testbed (Testbed 14) http://www.opengeospatial.org/standards/requests/160 <http://www.opengeospatial.org/standards/requests/160> Organizations that participate in Testbed 14 will develop prototype solutions based on the sponsors’ use cases, requirements and scenarios. These are described in detail in the CFP, for example see section B.5: B.5. Machine Learning, Deep Learning & Artificial Intelligence The goal of this task is to develop a holistic understanding and to derive best practices for integrating Machine Learning, Deep Learning, and Artificial Intelligence tools and principles into OGC Web service contexts. Even though an image analysis workflow is used here to describe interactions between components and interface requirements, it is emphasized that this task is not constraint to image analysis but should work with all types of data including vector information! Essentially, the following two questions shall be answered: 1. How to best support Machine Learning and Artificial Intelligence using OGC Web Services? 2. How to best publish inputs to and outputs from Machine Learning and Artificial Intelligence using OGC Web Services? The Testbed 14 Call for Participation is scheduled to close on 21 January 2018. Happy Holidays, George George Percivall CTO, Chief Engineer Open Geospatial Consortium [email protected] @Percivall
