An Architecture for Query, Insertion, and Discovery For
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Data and Service Discovery in Linked SDI and Linked VGI
Data and Service Discovery in Linked SDI and Linked VGI Virtual Workshop on Geospatial Semantic Architectures Todd Pehle May 7, 2013 Chief Engineer tpehle-at-orbistechnologies.com 1 Agenda • Introduce Example OGC Workflow • Describe Analogous Linked Data Workflow: • Geographic Feature Types in Linked SDI/VGI • Data Discovery with GeoVoID • Service Capabilities with GeoSPARQL Service Descriptions • SPARQL-based Feature Collections • Conclusion 2 Example OGC-based GIS Workflow 1. Discover OGC Catalog 2. Search Catalog by Feature Type/BBOX 3. Discover OGC WFS Service 4. GetCapabilities 5. GetFeature 6. DescribeFeatureType 7. Add WFS Layer(s) to Map 8. Get Feature By ID 3 Feature Types in LOD What constitutes a feature type in Linked Data? • Linked Data is described using RDFS and OWL ontologies giving data a formal semantics • Consensus on a “core” intensional semantics for geographic phenomena remains elusive • Option 1: Wait (a long time) for consensus • Option 2: Minimize ontological commitment and apply definitions driven by extensional alignment (i.e. – no core) 4 Common LOD Feature Type Definitions W3C Basic Geo (Linked VGI) OGC GeoSPARQL (Linked SDI) ? SpatialThing SpatialObject ? Feature Geometry Point ns:City Relations = rdfs:subClassOf 5 Dataset Discovery with VoID and DCAT • VoID Capabilities: • General metadata • Structural • Class/property partitions • Linksets • DCAT Capabilities: • Interoperability of Catalogs • Non-RDF Catalogs Source: http://docs.ckan.org/en/latest/geospatial.html • Often stored in data portal like CKAN • Offers BBOX dataset queries • Has extension support for CSW • Flexible discovery via centralized catalogs AND socialized links (VoID Repos, URI backlinks, etc.) 6 Geospatial Data Discovery with GeoVoID Goals: • Enable discovery of geographic feature data and services in LOD via: • Feature Type Discovery • Feature Type Spatial Extents • Dataset Spatial Extents • Thematic Attribution Schema Discovery (maybe) • GeoSPARQL Endpoint Discovery • Reuse and extend existing LOD vocabs vs. -
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 . -
A Survey of Geospatial Semantic Web for Cultural Heritage
heritage Review A Survey of Geospatial Semantic Web for Cultural Heritage Ikrom Nishanbaev 1,* , Erik Champion 1 and David A. McMeekin 2 1 School of Media, Creative Arts, and Social Inquiry, Curtin University, Perth, WA 6845, Australia; [email protected] 2 School of Earth and Planetary Sciences, Curtin University, Perth, WA 6845, Australia; [email protected] * Correspondence: [email protected] Received: 23 April 2019; Accepted: 16 May 2019; Published: 20 May 2019 Abstract: The amount of digital cultural heritage data produced by cultural heritage institutions is growing rapidly. Digital cultural heritage repositories have therefore become an efficient and effective way to disseminate and exploit digital cultural heritage data. However, many digital cultural heritage repositories worldwide share technical challenges such as data integration and interoperability among national and regional digital cultural heritage repositories. The result is dispersed and poorly-linked cultured heritage data, backed by non-standardized search interfaces, which thwart users’ attempts to contextualize information from distributed repositories. A recently introduced geospatial semantic web is being adopted by a great many new and existing digital cultural heritage repositories to overcome these challenges. However, no one has yet conducted a conceptual survey of the geospatial semantic web concepts for a cultural heritage audience. A conceptual survey of these concepts pertinent to the cultural heritage field is, therefore, needed. Such a survey equips cultural heritage professionals and practitioners with an overview of all the necessary tools, and free and open source semantic web and geospatial semantic web platforms that can be used to implement geospatial semantic web-based cultural heritage repositories. -
Developing Geosparql Applications with Oracle Spatial and Graph
Developing GeoSPARQL Applications with Oracle Spatial and Graph Matthew Perry, Ana Estrada, Souripriya Das, Jayanta Banerjee Oracle, One Oracle Drive, Nashua, NH 03062, USA Abstract. Oracle Spatial and Graph – RDF Semantic Graph, an option for Ora- cle Database 12c, is the only mainstream commercial RDF triplestore that sup- ports the OGC GeoSPARQL standard for spatial data on the Semantic Web. This demonstration will give an overview of the GeoSPARQL implementation in Oracle Spatial and Graph and will show how to load, index and query spatial RDF data. In addition, this demonstration will discuss complimentary tools such as Oracle Map Viewer. 1 Introduction The Open Geospatial Consortium (OGC) published the GeoSPARQL standard in 2012 [1]. This standard defines, among other things, a vocabulary for representing geospatial data in RDF and an extension of the W3C SPARQL query language [4] that allows spatial processing. Oracle Database has provided support for RDF data with the Spatial and Graph op- tion since 2005. GeoSPARQL has been supported since 2013, beginning with version 12c Release 1 [2]. Oracle Spatial and Graph is the only mainstream commercial RDF triplestore that supports significant components of the OGC GeoSPARQL standard. A demonstration of Oracle’s technology will give an overview of the current state-of- the-art for managing linked geospatial data. The remainder of this paper describes major components of OGC GeoSPARQL and then discusses the architecture of Oracle Spatial and Graph. This is followed by a description of key features of Oracle Spatial and Graph that will be demonstrated. 2 The OGC GeoSPARQL Standard The OGC GeoSPARQL standard defines a number of components ranging from top-level OWL classes to a set of rules for query transformations. -
"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. -
An Interoperable Multi-Sensor System for Healthcare
2013 IEEE GCC Conference and exhibition, November 17-20, Doha, Qatar An Interoperable Multi-Sensor System For Healthcare Bassant Selim Youssef Iraqi Ho-Jin Choi Khalifa University Khalifa University KAIST Sharjah, United Arab Emirates Sharjah, United Arab Emirates Daejeon, South Korea Email: [email protected] Email: [email protected] Email: [email protected] Abstract—Pervasive healthcare systems, enabled by informa- an introduction to the sensor standards considered, section tion and communication technology (ICT), can allow the elderly IV presents the requirements and solutions that insure the and chronically ill to stay at home while being constantly adequate performance of our system, section V provides an monitored. Patient monitoring can be achieved by sensors and example of sensor Modeling Language description of a body sensor systems that are both worn by the patient and installed temperature sensor, section VI presents related works in the in his home environment. There is a large variety of sensors area of applying standards to healthcare monitoring systems available on the market that can all serve to this purpose. In order to have a system that is independent of the sensors that and finally section VII concludes this work. are used, standardization is the key requirement. This work aims to present a framework for healthcare monitoring systems based II. SYSTEM ARCHITECTURE on heterogeneous sensors. In order to achieve interoperability, standards are considered in the system design. The proposed system is composed of multiple hierarchical layers that are each responsible of monitoring different pa- Keywords—Heterogeneous Sensor Networks, SensorML, IEEE rameters of the patient’s health. -
Semantic Sensor Observation Service
Wright State University CORE Scholar The Ohio Center of Excellence in Knowledge- Kno.e.sis Publications Enabled Computing (Kno.e.sis) 5-2009 SemSOS: Semantic Sensor Observation Service Cory Andrew Henson Wright State University - Main Campus Josh Pschorr Wright State University - Main Campus Amit P. Sheth Wright State University - Main Campus, [email protected] Krishnaprasad Thirunarayan Wright State University - Main Campus, [email protected] Follow this and additional works at: https://corescholar.libraries.wright.edu/knoesis Part of the Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, and the Science and Technology Studies Commons Repository Citation Henson, C. A., Pschorr, J., Sheth, A. P., & Thirunarayan, K. (2009). SemSOS: Semantic Sensor Observation Service. 2009 International Symposium on Collaborative Technologies and Systems: May 18-22, 2009, Baltimore, Maryland, USA, 44-53. https://corescholar.libraries.wright.edu/knoesis/333 This Article is brought to you for free and open access by the The Ohio Center of Excellence in Knowledge-Enabled Computing (Kno.e.sis) at CORE Scholar. It has been accepted for inclusion in Kno.e.sis Publications by an authorized administrator of CORE Scholar. For more information, please contact [email protected]. 1 SemSOS: Semantic Sensor Observation Service Cory A. Henson, Josh K. Pschorr, Amit P. Sheth, and Krishnaprasad Thirunarayan Kno.e.sis Center, Department of Computer Science and Engineering Wright State University, Dayton, OH 45435 [email protected], [email protected], [email protected], [email protected] enabled by semantic modeling and what advantages this Abstract provides to standard SOS. -
Geosparql Query Tool a Geospatial Semantic Web Visual Query Tool
GeoSPARQL Query Tool A Geospatial Semantic Web Visual Query Tool Ralph Grove1, James Wilson2, Dave Kolas3 and Nancy Wiegand4 1Department of Computer Science, James Madison University, Harrisonburg, Virginia, U.S.A. 2Department of Integrated Science and Technology, James Madison University, Harrisonburg, Virginia, U.S.A. 3Raytheon BBN Technologies, Columbia, Maryland, U.S.A. 4Space Science and Engineering Center, University of Wisconsin, Madison, Wisconsin, U.S.A. Keywords: Semantic Web, Geographic Information Systems, GeoSPARQL, SPARQL, RDF. Abstract: As geospatial data are becoming more widely used through mobile devices and location sensitive applications, the potential value of linked open geospatial data in particular has grown, and a foundation is being developed for the Semantic Geospatial Web. Protocols such as GeoSPARQL and stSPARQL extend SPARQL in order to take advantage of spatial relationships inherent in geospatial data. This paper presents GeoQuery, a graphical geospatial query tool that is based on Semantic Web technologies. GeoQuery presents a map-based user interface to geospatial search functions and geospatial operators. Rather than using a proprietary geospatial database, GeoQuery enables queries against any GeoSPARQL endpoint by translating queries expressed via its graphical user interface into GeoSPARQL queries, allowing geographic information scientists and other Web users to query linked data without knowing GeoSPARQL syntax. 1 INTRODUCTION Tool (GeoQuery)1, a graphical geospatial query tool that is based on Semantic Web technologies. The Semantic Web has the potential to greatly GeoQuery translates queries expressed through its increase the usability of publicly available data by graphical user interface into GeoSPARQL queries, allowing access to open data sets in linked format which can then be executed against any over the Web. -
Geosparql: Enabling a Geospatial Semantic Web
Undefined 0 (0) 1 1 IOS Press GeoSPARQL: Enabling a Geospatial Semantic Web Robert Battle, Dave Kolas Knowledge Engineering Group, Raytheon BBN Technologies 1300 N 17th Street, Suite 400, Arlington, VA 22209, USA E-mail: {rbattle,dkolas}@bbn.com Abstract. As the amount of Linked Open Data on the web increases, so does the amount of data with an inherent spatial context. Without spatial reasoning, however, the value of this spatial context is limited. Over the past decade there have been several vocabularies and query languages that attempt to exploit this knowledge and enable spatial reasoning. These attempts provide varying levels of support for fundamental geospatial concepts. In this paper, we look at the overall state of geospatial data in the Semantic Web, with a focus on the upcoming OGC standard GeoSPARQL. GeoSPARQL attempts to unify data access for the geospatial Semantic Web. We first describe the motivation for GeoSPARQL, then the current state of the art in industry and research, followed by an example use case, and the implementation of GeoSPARQL in the Parliament triple store. Keywords: GeoSPARQL, SPARQL, RDF, geospatial, geospatial data, query language, geospatial query language, geospatial index 1. Introduction In this paper, we discuss an emerging standard, Geo- SPARQL [24] from the Open Geospatial Consortium Geospatial data is increasingly being made avail- (OGC)1. This standard aims to address the issues of able on the Web in the form of datasets described us- geospatial data representation and access. It provides ing the Resource Description Framework (RDF). The a common representation of geospatial data described principles of Linked Open Data, detailed in [5], en- using RDF, and the ability to query and filter on the courage a set of best practices for publishing and con- relationships between geospatial entities. -
Bringing Location Analysis to the Semantic Web with the OGC Geosparql Standard
® ® Bringing Location Analysis to the Semantic Web with the OGC GeoSPARQL Standard Matthew Perry Xavier Lopez Agenda • About the GeoSPARQL SWG • Use Cases & Requirements • From SPARQL to GeoSPARQL • GeoSPARQL Technical Details • Implementation Considerations • Live Demo ® OGC 2 Group Members • Open Geospatial Consortium standards working group – 13 voting members, 36 observers – Editors: Matthew Perry and John Herring – Chairs: John Herring and Dave Kolas • Submitting Organizations Traverse Technologies, Inc. ® OGC 3 Standardization Process OAB vote Process on comments Publish candidate and update standard Form SWG standard document (May (June 2010) (June 2011) (Feb. 2012) 2012) Release 30-day TC/PC candidate public vote standard comment (March 22, (May 2011) period 2012) (July 2011) ® OGC 4 Linked Geo Data • Many LOD datasets have geospatial components LinkedSensorData • Barriers to integration What DBPedia Historic – Vendor-specific geometry support Buildings are within walking distance? – Different vocabularies • W3C Basic Geo, GML XMLLiteral, What OpenStreetMap Dog Vendor-specific Parks are inside Ordnance – Different spatial reference systems Survey Southampton • WGS84 Lat-Long, British National Grid Administrative District? ® OGC 5 Gazetteers and Linked Open Data Services • Provide common terms (place names) to link across existing spatial data resources • Enable consolidated view across the map layers • Reconcile differences in data semantics so that they can all “talk”and interoperate • Resolving semantic discrepancies across databases gazetteers and applications • Integrate full breath of enterprise content continuum (structured, spatial, email, documents, web services) OGC ® Semantic GIS • GIS applications with semantically complex thematic aspects – Logical reasoning to classify features • land cover type, suitable farm land, etc. – Complex Geometries • Polygons and Multi-Polygons with 1000’s of points – Complex Spatial Operations • Union, Intersection, Buffers, etc.