delicious OGC+GML

This document summarises the discussions and recommendations of a workshop convened by the UK Met Office to examine the application of OGC Web Services and GML Modelling to Operational Meteorology.

Presentation at George Perkins to Marsh Institute researchers and members of the Clark University faculty and faculty from other Worcester, Massachusettes colleges and universies.

Presentation by George Percivall to SDO Emergency Services Coordination Workshop (ESW-7) 11-13 May 2010. Discusses the uses and relevance of various OGC standards in the emergency services domain. The Emergency Services Workshop series is an ongoing effort in the emergency services community to coordinate global standards and technologies for emergency calling and emergency notification. The primary focus of the workshop series is foster coordination among the many standards development organizations (SDOs) involved in emergency services as they all work toward a global solution for emergency communications using Internet technologies.

Presentation by Clemens Portele on GML and GML model presented at GSDI+FIG Standards Workshop, Cairo

Presentation given at the 2009 GEOSS Sensor Web workshop

GeoSciML is an application schema that specifies a set of feature-types and supporting structures for information used in the solid-earth geosciences. GeoSciML v2 is scoped approximately to the information required to construct geologic maps. "Map" is interpreted broadly, and not constrained to conventional 2-D semi-horizontal cartography, so the GeoSciML information structures also support representation of the distribution of geologic features on sections, along curvilinear-traverses and boreholes, and within volumetric samples, etc.

mp4 (video/mp4 Object)

Podcast - Introduction to GML. Developed by Institute for Geodesy and Geoinformation Science, Technical University of Berlin

This section of OGC Network provides information and resource links to a variety of existing and emerging GML Application Schemas and Profiles.

This paper provides a review of the basic features of GML that are fundamental to the geological sciences including geometry, coverages, observations, reference systems and temporality. These constructs are then employed in a series of simple geological case studies including structural geological description, surficial geology, representation of geological time scales, mineral occurrences, geohazards and geochemical reconnaissance.

In this paper, we propose and implement an efficient GML query processor, GPXQuery, and a GML-aware streaming parser, GPSAX, by extending an XQuery processor and a SAX parser, respectively, to support GML-native geospatial functionalities. In addition to these tools, an XML prefiltering technique is applied to the processors to speed up geospatial operations over large GML documents.

This paper presents a study of Geography Markup Language (GML), the issues that arise from using GML for spatial applications, including storage, parsing, querying and visualization, as well as the use of GML for mobile devices and web services.

Spatial database systems are good at spatial data handling but those are inefficient for XML data. This paper proposes a storage method of GML data for spatial database systems in order to solve the problems. The proposed method generates spatial database schemas from GML application schemas and store GML data into SDBMS through the generated schemas. A prototype of the storage method has been implemented on the PostgreSQL/SPE system to show the proposed method is appropriate for storing GML data.

In this paper, we propose an approach to map GML schema to object-relational database schema by using GML schema graph, and algorithms for storing / querying valid GML documents into / from the relations generated by the corresponding object-relational schema. Spatial and non-spatial features embedded in GML document are stored in object-oriented relations, and the structures and constrains defined in GML schema are also well preserved.

As Geography Markup Language (GML) becomes a standard for geographic information representation on the internet, more needs to efficiently store and retrieve GML data arise. In the paper, we explore the structure and semantic characteristics existed in GML, and present a method to capture and map these constraints into object-relational databases during GML storage. Comparing with the existing methods, our approach preserves not only the data and structure, but also its semantics of GML document.

In this paper, we present our XQuery based approach and system for querying GML data.

In this paper we describe a WMS compliant map server and GML based client. This integrated system leads to a true interoparable Web-GIS. GML based client for the first time offers client side query processing capabilities and at the same time provides several challenges.

The general aim of this paper is to study the behaviour of different alternatives over XML documents (alphanumeric data) applied to store and query GML documents (alphanumeric and spatial data). The alternatives selected use relational schemas to store GML documents because they use a complete set of data management services (including concurrency control, crash recovery, scalability, etc) and benefit from the highly optimised relational query processor. Three approaches have been used: LegoDB, a structure-mapping approach, and two simple model-mapping approaches, Monet over Relational database and XParent.

In this paper, a query language GML is shown. The data model and the algebra underlying the query language are an extension of [2] to support spatial features. The query language has a familiar select-from-where syntax and is based on SQL (Structured Query Language). It includes a set of spatial operators (disjoint, touches, etc.), and includes traditional operators (=,>, <,...) for non-spatial information. 2001

We report our experience in mapping SEF — a data exchange standard for topographic map in Taiwan — to GML. Often there are two goals in such a schematic mapping: Preservation and improvement. We have built the necessary SEF-to-GML and GML-to-SVG conversion tools, and have used them to process and visualize existing topographic data. Real-world examples are shown in this paper.