Supports searchesAllows you to review content without having to read all the data firstDiscover what’s availableSupport data management and updatesprovides parameters for automating processingControl accessTrack ownership
Read metadata attributesXML reading, writing, updatingSchema readingReading from web sourcesIntegration with web servicesHarvest and validation capabilitiesCreation of your own web services
Using FME to support open data initiatives and INSPIRE
Using FME to support OpenData initiatives and INSPIRECiaran Kirk Tony KentTechnical Director GIS Technician 6th September 2012
The Challenge You want to meet Open data requirements, but your data is organized rather differently ?
What we do … ? We build data bridges – to your SDI
Harmonization Core Concepts Harmonization: implied requirement for building an SDI Disparate sources must be mapped to a common destination data model Core to the harmonization workflow is a process called schema mapping. Delivered by services based on open standards
INSPIRE Harmonization PrinciplesTypical stages:1. Evaluation2. Assembly3. Transformation4. Validation5. PublicationBased on the Spatial ETL concept (Extract,Transform and Load), as applied to INSPIRE SDI’s
Evaluation Assess destination schema and data requirements Assess source datasets and schema Consider fundamental differences in representation, resolution Closely inspect actual representative datasets
Data Assembly Assess the diversity of source data types: vector, raster, CAD, GIS, database, text, XML, web, 3D, sensor and non-spatial Review format and semantic translation needs Decide how to perform necessary joins ID joins, spatial relates, nearest neighbor, one to many relationshipsGoal is to build a data structure that correspondswith your published standard
Metadata – Data about dataDescribes data structures• tables• geometry types• data types• fieldsDescribes data content• coordinate system• extent• modification date• quality, ownership, etc.
Data Transformation - Schema Reshape source data to match required destination schema Schema mapping feature type attribute name new attribute creation code lists conditional value mappings
Schema Mapping in FME Feature Type Mapping in FME Workbench Attribute Mapping in FME Workbench
FME Data Model Restructuring:Attribute Names & Values Value Mapping
FME SchemaMapper:INSPIRE geographic names FME Workspace Name mapping Name & value mapping
Transformation: Geometry Non-spatial to spatial Geometry extraction (spatial to GML) Representation transform: CAD drawing lines with labels to GIS polygonal features with attributes Coordinate System Reprojection (ED50 to ETRF89) Simple to complex geometry Source point and polygon data to multiple geometric representations (city as point / area, river as line / area) Generalization and interpolation Highly granular national and regional datasets often require thinning to be usable on pan-European scales
Validation Schema validation i.e. INSPIRE (xsds) Data integrity Unique IDs Geometric integrity (closed polygons) Null values (nullable?) Valid values: ranges and domain codes Data gaps Bounds Network integrity Custom validity rules specific to domain Validation automation via FME Server uploadEnsure data quality throughout the data transformation process.
Publication Produce INSPIRE compliant GML Provide discovery, view or download services, for WxS, GML and other desired formats Publish with FME Server or integrate with your geo web server of choice Spatial Data Services
Publication with FME Server Publish workspace to FME Server Store the workspace in a central repository Make your FME workspaces available to others – over the web Register the workspace with one or more services (Data Streaming, Data Download, etc.) 21
FME Tools for INSPIRE Format translation Schema mapping String and list manipulation Data validation Database load and extract XML,GML,WFS: reading, validation, publication Web services: WFS, WMS, integration with others Metadata support Enterprise services with FME Server
Summary FME can provide all the tools to help you support your data sharing needs: Integrate your data sources Manage your meta data catalogues Transform your data to standard schemas Publish the data in the required formats
Thank You! Questions? For more information: Ciaran Kirk – firstname.lastname@example.org Tony Kent – email@example.com firstname.lastname@example.org