Integrating the Ogc Sensor Web Enablement Framework Into the Ogc Catalogue
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Part 1- Timeseries
OGC WaterML 2.0 OGC 10-126r4 Open Geospatial Consortium Approval Date: 2012-06-23 Publication Date: 2014-02-24 Reference number of this OGC® project document: OGC 10-126r4 OGC name of this OGC® project document: http://www.opengis.net/doc/IS/waterml/2.0.1 Version: 2.0.1 Category: OGC® Implementation Standard - Corrigendum Editor: Peter Taylor OGC® WaterML 2.0: Part 1- Timeseries Copyright notice Copyright © 2012-2014 Open Geospatial Consortium To obtain additional rights of use, visit http://www.opengeospatial.org/legal/. Notice This document is an OGC Member approved international standard. This document is available on a royalty free, non-discriminatory basis. Recipients of this document are invited to submit, with their comments, notification of any relevant patent rights of which they are aware and to provide supporting documentation. Document type: OGC® Implementation Standard - Corrigendum Document subtype: Encoding Document stage: Approved for Public Release Document language: English OGC 10-126r4 WaterML 2.0 License Agreement Permission is hereby granted by the Open Geospatial Consortium, ("Licensor"), free of charge and subject to the terms set forth below, to any person obtaining a copy of this Intellectual Property and any associated documentation, to deal in the Intellectual Property without restriction (except as set forth below), including without limitation the rights to implement, use, copy, modify, merge, publish, distribute, and/or sublicense copies of the Intellectual Property, and to permit persons to whom the Intellectual Property is furnished to do so, provided that all copyright notices on the intellectual property are retained intact and that each person to whom the Intellectual Property is furnished agrees to the terms of this Agreement. -
Download a Java Program from the Registry That Uses XSLT to Convert Sensorml files Into KML files
MXC-L071 An SOA Approach to Sensor Services A Major Qualifying Project Report submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fufillment of the requirements for the Degree of Bachelor of Science by Keith Craig and Brett Levasseur Professor Michael J. Ciaraldi, Project Advisor This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its web site without editorial or peer review. Abstract The purpose of this project is to demonstrate the use of Semantic Web design and Service Oriented Architecture principles to make sensor information and data readily accessible to clients across the Internet. This project produced a set of XML files that described sensors, defined an ontology that described the vocabulary used in the XML files, and configured an existing registry technology for use within our sensor domain. i Acknowledgements We would like to thank our supervisors Bill Moser and Oliver Newell at Lincoln Laboratory for their invaluable assistance in all facets of this project. We would additionally like to thank Farruk Najmi for his advice regarding ebXML Registries. We would also like to thank Professor Ciaraldi for his help on the WPI side of things. The OWL files were created using the Prot´eg´eresource, which is supported by grant LM007885 from the United States National Library of Medicine. ii Contents Abstract i Acknowledgements ii Table of Contents iii List of Figures v List of Tables v 1 Introduction 1 2 Problem Statement 2 3 Background 5 3.1 Service Oriented Architecture . -
OGC Sensor Web Enablement
Botts et al. OGC Sensor Web Enablement OGC® Sensor Web Enablement: Overview And High Level Architecture Mike Botts George Percivall Univ. of Alabama in Huntsville Open Geospatial Consortium, Inc. [email protected] [email protected] Carl Reed John Davidson Open Geospatial Consortium, Inc. Image Matters LLC [email protected] [email protected] ABSTRACT A precursor paper (also available as an OGC White Paper) provides a high-level overview of and architecture for the Open Geospatial Consortium (OGC) standards activities that focus on sensors, sensor networks, and a concept called the “Sensor Web”. This OGC focus area is known as Sensor Web Enablement (SWE). For readers interested in greater technical and architecture details, please download and read the OGC SWE Architecture Discussion Paper titled “The OGC Sensor Web Enablement Architecture” (OGC document 06-021r1). Keywords Sensor, OGC, “Sensor Web Enablement”, “sensor web”, transducer, geospatial, “web service”, SOA, “service oriented architecture”, imaging. INTRODUCTION A sensor network is a computer accessible network of many, spatially distributed devices using sensors to monitor conditions at different locations, such as temperature, sound, vibration, pressure, motion or pollutants1. A Sensor Web refers to web accessible sensor networks and archived sensor data that can be discovered and accessed using standard protocols and application program interfaces (APIs). Figure 1: Sensor Web Concept 1 Wikipedia - http://en.wikipedia.org/wiki/Wireless_sensor_network (Last viewed 18 March 2008) Proceedings of the 5th International ISCRAM Conference – Washington, DC, USA, May 2008 F. Fiedrich and B. Van de Walle, eds. 713 Botts et al. OGC Sensor Web Enablement In an Open Geospatial Consortium, Inc. -
"The Global Spatial Data Infrastructure Association - Advancing a Location Enabled World"
GSDI and IGS Newsletter, Vol. 4, No. 2 News from the GSDI Association and the International Geospatial Society Vol. 4, No. 2, 2014 "The Global Spatial Data Infrastructure Association - Advancing a Location Enabled World" ASSOCIATION NEWS Association since 2010. Within local conservation circles he was primarily known for co-directing, with his partner GSDI Association Board Member Mark Becker Dies of 30 years Lori Charkey, the Bergen Save the Watershed in Tragic Accident Action Network (Bergen SWAN).” The GSDI Association learned of the tragic death of CIESIN Associate Director Mark Becker at the age of 53, on 26 February 2014 in a multi-vehicle accident on the New York State Thruway in Woodbury, NY. Mark was the GSDI Board member representing ‘GSDI Related Global Initiatives’ and was a valued member of the GSDI Outreach and Membership Committee, where his input and insight will be much missed by his colleagues at the Association. Below is an extract from the tribute to Mark from CIESIN. “In his 15 years at CIESIN Mark made contributions that will be felt for a long time. He began his CIESIN career in Mark Becker leading a teacher training workshop for the February 1999, and was soon appointed head of the CHANGE Viewer mapping tool. Pictured behind him is Geospatial Applications Division. … In many ways he Amy Work, IAGT, who helped develop the tool. Palisades, helped bring GIS to Columbia, as manager of the GIS New York, July 2013. Source: CEISIN Service Center and ESRI site license. He helped install many of the early GIS labs on campus and helped train See the full tribute to Mark on the CIESIN website at many of the people who operated them. -
Augmenting Hydrologic Information Systems with Streaming Water Resource Data
AUGMENTING HYDROLOGIC INFORMATION SYSTEMS WITH STREAMING WATER RESOURCE DATA S. Esswein1, J. Hallstrom2, C. J. Post1, D. White3, G. Eidson4 AUTHORS: Forestry and Natural Resources1; School of Computing2; Computing and Information Technology3; Restoration Institute4, Clemson University, Clemson, SC USA 29634 REFERENCE: Proceedings of the 2010 South Carolina Water Resources Conference, held October 13-14, 2010, at the Columbia Metropolitan Convention Center. examined with an emphasis on design decisions regarding Abstract. Access to timely and accurate hydrological leveraging available standards and software. Insight and environmental observation data is a crucial aspect of garnered from several years of data acquisition experience an integrated approach to water resources management. is provided, along with a recent case study involving a This presentation describes an end-to-end system designed monitoring deployment supporting the Sand River to support realtime monitoring and management of water Headwaters Green Infrastructure project located in the resources. The main components of the hardware/software City of Aiken, South Carolina. infrastructure of this system are broken into four There are four components or tiers of a realtime- categories and briefly described. This organization monitoring infrastructure: (i) sensing platforms collect in provides the basis for a synthesis of several prominent situ observation data, (ii) communication and uplink standards and software solutions relevant to the technologies transmit realtime observation data, (iii) data hydrologic and environmental observing communities. streaming middleware provides highly distributed These standards are described in the context of their role publication and subscription of observation data, and (iv) in our end-to-end system. The presentation concludes with back-end repository and presentation services provide a a case study describing a green infrastructure monitoring means of viewing and utilizing data products. -
OGC Sensorthings API FROST Server
OGC SensorThings API and FROST Server® Michael Jacoby Open Geospatial Consortium http://www.opengeospatial.org ▪ International consortium ▪ over 522 companies, government agencies and universities ▪ “Geo-enable” mainstream IT ▪ Develop publicly available standards ▪ Web Map Service ▪ CityGML ▪ WaterML ▪ Earth Observations 2019-10-29 2 / 38 © Fraunhofer IOSB OGC & IoT? ▪ IoT deals with Sensors and Actuators ▪ Sensors and Actuators have Location ▪ OGC Sensor Web Enablement (SWE) ▪ Enable developers to make all types of sensors and sensor data repositories discoverable, accessible and useable via the Web ▪ Since 1990 by NASA ▪ Since 2001 in OGC ▪ SensorML Sensor Observation Service (SOS) Sensor Planning Service (SPS) Observations & Measurements (O&M) ▪ Sensor Data & Metadata ©OGC: http://www.opengeospatial.org/ogc/markets-technologies/swe 2019-10-29 3 / 38 © Fraunhofer IOSB From SWE to SensorThings ▪ “Old” SWE Standards ▪ XML Encoded ▪ SOAP bindings ▪ Complex in use ▪ No easy browsing ▪ No pagination ▪ No pub/sub Time for an update → SensorThings API 2019-10-29 4 / 38 © Fraunhofer IOSB OGC SensorThings API https://www.opengeospatial.org/standards/sensorthings https://github.com/opengeospatial/sensorthings ▪ A standard for exchanging sensor data and metadata ▪ Historic data & current data ▪ JSON Encoded ▪ RESTful ▪ Adapting OASIS OData URL patterns and query options ▪ Supporting MQTT pub/sub ▪ Easy to use & understand ▪ Discoverable with only a web browser 2019-10-29 5 / 38 © Fraunhofer IOSB OGC SensorThings API ▪ Divided into multiple Parts -
DGIWG Service Architecture
DGIWG – 306 DGIWG Service Architecture Document Identifier: TCR-DP-07-041-ed2.0.1-DGIWG_Service_Architecture Publication Date: 05 November 2008 Edition: 2.0.1 Edition Date: 05 November 2008 Responsible Party: DGIWG Audience: Approved for public release Abstract: This document provides architecture guidance to DGIWG. Copyright: (C) Copyright DGIWG, some rights reserved - (CC) (By:) Attribution You are free: - to copy, distribute, display, and perform/execute the work - to make derivative works - to make commercial use of the work Under the following conditions: - (By:) Attribution. You must give the original author (DGIWG) credit. - For any reuse or distribution, you must make clear to others the license terms of this work. Any of these conditions can be waived if you get permission from the copyright holder DGIWG. Your fair use and other rights are in no way affected by the above. This is a human-readable summary of the Legal Code (the full license is available from Creative Commons <http://creativecommons.org/licenses/by/2.0/ >). DN:07-041 05 November 2008 Contents Executive summary ..................................................................................................... 1 Acknowledgement ....................................................................................................... 1 1 Introduction .......................................................................................................... 2 1.1 Scope ............................................................................................................. -
Exploring the Use of the Semantic Web for Discovering, Retrieving and Processing Data from Sensor Observation Services Ivo De Liefde June 2016
MSc thesis in Geomatics Exploring the use of the semantic web for discovering, retrieving and processing data from Sensor Observation Services Ivo de Liefde June 2016 EXPLORINGTHEUSEOFTHESEMANTICWEBFOR DISCOVERING,RETRIEVINGANDPROCESSINGDATAFROM SENSOROBSERVATIONSERVICES A thesis submitted to the Delft University of Technology in partial fulfillment of the requirements for the degree of Master of Science in Geomatics by Ivo de Liefde June 2016 Ivo de Liefde: Exploring the use of the semantic web for discovering, retrieving and processing data from Sensor Observation Services (2016) cb This work is licensed under a Creative Commons Attribution 4.0 Inter- national License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The work in this thesis was made in the: Department of GIS Technology OTB Research Institute for the Built Environment Faculty of Architecture & the Built Environment Delft University of Technology Supervisors: Drs. M.E. de Vries Dr.ir. B.M. Meijers Co-reader: Dr. Dipl.-Ing. S. Zlatanova ABSTRACTDevelopments such as smart cities, the Internet of Things (IoT) and the Infras- tructure for Spatial Information in Europe (INSPIRE) are causing a growing amount of observation data to be produced. The Open Geospatial Con- sortium (OGC) has developed Sensor Web Enablement (SWE) standards for modelling and publishing this data online. However, their use is currently limited to geo information specialists, who have knowledge about which data services are available and how to access them. With the use of the semantic web, online processes can automatically find and understand ob- servation metadata. This opens up the SWE services to a large user audience. -
Open Geospatial Consortium Activities – Reichardt
® ® Driving geospatial interoperability - communities of interest Mark E. Reichardt President & CEO [email protected] +1 301 840-1361 © 2012 Open Geospatial Consortium www.opengeospatial.org Cross-Boundary / Limited or No Connectivity Information Sharing Continues to be one of our biggest challenges! Source: www.fao.org/docrep/008/ae929e/ae929e03.htm Source: David Rydevik, Thailand Tsunami, 2004 OGC® Aeronautical Information Management (AIM) (OGC Web Services Phase 6 & 7 Testbeds) • Develop and test standards‐based service‐ oriented architecture to support the provision of aeronautical information directly to flight decks and Electronic Flight Bags (EFB) • Support vision for Aeronautical Information Management – Interconnected systems with many actors and many users – Need for real-time information used in flight planning, navigation, rerouting, etc. – Right information at the right time at the right place to the right user – End-to-end management of information © 2012, Open Geospatial Consortium Aeronautical Information Management Architecture (OGC Web Services Phase 6 Testbed) NNEW – NextGEN Network Enabled Weather TAF – Terminal Aerodrome Forecast WXXM – Weather Info. Exchange Model WFS – OGC Web Feature Service © 2011, Open Geospatial Consortium Community and Use Case Driven Meteorology and Oceanography Domain Working Group Source: http://external.opengeospatial.org/twiki_public/MetOceanDWG/MetOceanUseCases ® OGC © 2012 Open Geospatial Consortium. 9 OneGeology • Distributed, interoperable geologic information • Leverages open standards: • OGC Web Map Service • OGC Web Feature Service • Geography Markup Language • OGC Observations & Measurements • GeoSCIML (GML Schema) • Broad agreement between geologic surveys, organizational bodies • http://onegeology.org ® OGC © 2012, Open Geospatial Consortium OneGeology Addressing Semantic Differences GeoSciML – an OGC Geography Markup Language application schema for the sharing of Geologic information Canada USA France United Kingdom Sweden Australia …. -
Open Geospatial Consortium (OGC)
® OGC activities for UAS ANSI UAS Standardization Collaborative Meeting George Percivall CTO, Chief Engineer Open Geospatial Consortium Copyright © 2017 Open Geospatial Consortium The Open Geospatial Consortium Not-for-profit, international voluntary consensus standards organization; leading open innovation for geospatial data • Founded in 1994 • 525+ member organizations • 100 innovation initiatives • 48 Open Standards • 230 OGC certified products • Thousands of implementations • Enabling access to 100K+ datasets ® OGC Copyright © 2017 Open Geospatial Consortium NASA and US Forest Service UAS • Ikhana UAV with multispectral sensor • Fire intelligence to management teams • Web access to geospatial processing via open standards ® Source: Ambrosia, G., Sullivan, D., Buechel, S., GSA Special Paper 482 , 2011 OGC Copyright © 2017 Open Geospatial Consortium DHS - Incident Management Information Sharing (IMIS) IoT Pilot Drone Operator Display OGC Standards Used in IMIS IoT Pilot • Sensor Observation Service • Sensor Planning Service • SensorThings • Web Processing Service • Catalog • OWS Context • Web Feature Service • Web Map Service Live demonstrations in multiple sites in 2016 ® https://www.dhs.gov/publication/incident-management-information-sharing-imis-internet-things-iot-extension-engineering OGC Copyright © 2017 Open Geospatial Consortium OGC Sensor Web Enablement Standards SWE Standards for Discovery and Tasking Sensors; Access and Process Observations • Sensor Model Language (SensorML) • Observations & Measurements (O&M) • Sensor Planning -
Applying OGC Sensor Web Enablement to Ocean Observing Systems
Applying OGC Sensor Web Enablement to Ocean Observing Systems Daniel M. Toma, Joaquin del Rio, Enoc Martínez Eric Delory SARTI Research Group. Electronics Deptartment Oceanic Platform of the Canary Islands ctra de Taliarte Universitat Politècnica de Catalunya (UPC) s/n, Telde 35200, Spain Rambla Exposició 24, 08800, [email protected] Vilanova i la Geltrú. Barcelona. Spain [email protected] Simon Jirka Jay Pearlman 52°North - Initiative for Geospatial Open Source IEEE France Section, France Software GmbH [email protected] Martin-Luther-King-Weg 24 48155 Muenster, Germany [email protected] Christoph Waldman University of Bremen, MARUM, Germany [email protected] Abstract – The complexity of marine installations I. INTRODUCTION for ocean observing systems has grown significantly in recent years. In a network consisting of tens, hundreds In Ocean Observing Systems, the infrastructure for or thousands of marine instruments, manual data management, communication and instruments has to configuration and integration becomes very be a flexible network, because unanticipated needs may challenging. Simplifying the integration process in emerge and unprecedented context-aware applications existing or newly established observing systems would may need to be enabled. For example, a given kind of benefit system operators and is important for the sensor may be deployed on various platforms such as broader application of different sensors. This article floats, gliders or moorings, and thus must be integrated presents an approach for the automatic configuration with different data acquisition systems. To achieve the and integration of sensors into an interoperable interoperability in this infrastructure, the physical Sensor Web infrastructure. First, the sensor instruments must be reliably associated with software communication model, based on OGC's SensorML components that operate the instruments and manage standard, is utilized. -
Towards Establishing Cross-Platform Interoperability for Sensors in Smart Cities
sensors Article Towards Establishing Cross-Platform Interoperability for Sensors in Smart Cities Kanishk Chaturvedi * and Thomas H. Kolbe Chair of Geoinformatics, Technical University of Munich, Arcisstrasse 21, 80333 Munich, Germany; [email protected] * Correspondence: [email protected]; Tel.: +49-89-289-22974 Received: 28 November 2018; Accepted: 24 January 2019; Published: 29 January 2019 Abstract: Typically, smart city projects involve complex distributed systems having multiple stakeholders and diverse applications. These applications involve a multitude of sensor and IoT platforms for managing different types of timeseries observations. In many scenarios, timeseries data is the result of specific simulations and is stored in databases and even simple files. To make well-informed decisions, it is essential to have a proper data integration strategy, which must allow working with heterogeneous data sources and platforms in interoperable ways. In this paper, we present a new lightweight web service called InterSensor Service allowing to simply connect to multiple IoT platforms, simulation specific data, databases, and simple files and retrieving their observations without worrying about data storage and the multitude of different APIs. The service encodes these observations “on-the-fly” according to the standardized external interfaces such as the OGC Sensor Observation Service and OGC SensorThings API. In this way, the heterogeneous observations can be analyzed and visualized in a unified way. The service can be deployed not only by the users to connect to different sources but also by providers and stakeholders to simply add further interfaces to their platforms realizing interoperability according to international standards. We have developed a Java-based implementation of the InterSensor Service, which is being offered free as open source software.