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The 3D Portrayal Interoperability Experiment (IE) will demonstrate how 3D models stored in open or proprietary formats can be exploited by demonstrating different delivery mechanisms based on open standards-based formats and services. Relevant data include digital landscape models, city models, interior models, as well as analytical data representing the spatiotemporal distribution of non tangible things or simulation results. The IE will be intended to identify and further develop technologies and workflows that may be the foundation of a spatial data infrastructure that targets on rapid visualization of extremely large and complex 3D data. For selected showcase scenarios the interoperability of relevant formats and services will be tested. Particular emphasis will be on use of different client configurations. As an outcome, the IE will clarify the specifics of 3D portrayal services and provide best practices and guidelines for their implementation, integration, and usage. Additionally, the activities and findings of the IE participants are intended to directly support and influence current standardization efforts in service-based 3D portrayal.

The Consortium of Universities for the Advancement of Hydrologic Science, Inc (CUAHSI) has conducted research regarding water information services.  CUAHSI now seeks to advance this research towards consensus adoption by sponsoring an initiative in the Open Geospatial Consortium, Inc. (OGC) Interoperability Program. Working with CUAHSI and other members of the hydrologic community, OGC will conduct a Concept Development study on the application of OGC Web Services to the domain of Water Information based upon the CUAHSI research results.  OGC will produce an Engineering Report as the basis of planning for an OGC Best Practice and for an OGC Interoperability Program Pilot initiative.

The Sensor Web Enablement (SWE) Common Data Model Encoding Standard defines low level data models for exchanging sensor related data between nodes of the OGC® Sensor Web Enablement (SWE) framework. These models allow applications and/or servers to structure, encode and transmit sensor datasets in a self describing and semantically enabled way.

SWE Common 1.0 was defined in the OGC SensorML 1.0 Standard available at http://www.opengeospatial.org/standards/sensorml.

Every year executive staff members from the OGC attend and participate in many events around the world. These events generally focus on geospatial and location issues, but as the number of OGC Domain Working Groups grows and the reach of OGC standards expands, our standards are becoming relevant in a wider range of domains. We need input and guidance from OGC members regarding industry events that best address member needs based on the usefulness and relevance of OGC standards.

If you would like to suggest an event for OGC to consider, please complete the OGC Conference Suggestion form below. Please note that the OGC does not fund non-OGC events, but sponsors events by providing presenters, allowing use of our logo and offering our global marketing reach to promote events. OGC staff time is subject to availability and priority is given to international events where we can most efficiently deliver our message about the value of OGC standards and OGC membership.

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This document is the specification for a Table Joining Service (TJS). This OGC standard defines a simple way to describe and exchange tabular data that contains information about geographic objects.

The OGC Business Value Committee (BVC) will directly engage senior managers, commercial, sales and marketing professionals from the OGC membership in activities to identify, organize and promote the business value of OGC standards. These activities include a long-term vision to develop (through case studies and reference implementations) a pervasive value platform for using OGC and complementary standards; as well as defining a business model to address a Standards Value Model, incorporating both costs and benefits.  The BVC will also provide a website in which OGC members may quickly and easily find business value data for use in their own domains and presentations.