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Metadata Concepts for Hydrology

Page 1. Metadata Concepts for Hydrology. Michael Piasecki Department of Civil, Architectural, and Environmental Engineering Drexel University CUAHSI HIS Symposium Austin, TX March 7-9, 2005. Drexel University, College of Engineering. Page 2. Background.

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Metadata Concepts for Hydrology

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  1. Page 1 Metadata Concepts for Hydrology Michael Piasecki Department of Civil, Architectural, and Environmental Engineering Drexel University CUAHSI HIS Symposium Austin, TX March 7-9, 2005 Drexel University, College of Engineering

  2. Page 2 Background Consortium of Universities for the Advancement of the Hydrologic Sciences, Inc. Hydrologic Information Systems Group The objective of HIS is: • a hydrologic information system prototype of mapping and hydrologic data from the Neuse basin. • a structure for the hydrologic data model • a hydrologic metadata definitionthat is compatible with the hydrologic data model and is interoperable with other Metadata profiles • conduct hydrologic case study in interpretation and visualization to estimate and represent streamflow and rainfall continuously in space and time across the stream network in the Neuse basin Drexel University, College of Engineering

  3. Numerical Models Prediction HSPF Sensor Arrays NGDC NWS NCDC USGS NWIS NCEP Air-Q MM5 Individual Samples Data Centers Page 3 The Demands METADATA Drexel University, College of Engineering

  4. DC ANZLIC FGDC Distribution – url, identification Coverage – temporal, spatial, location keywords Personnel – name, role, address Attributes – parameters, source, sensor, discipline, keywords, status, originator DIF ADN ISO Page 4 Metadata Standards ISO 19115 International Standard Organisation DIF Data Interchange Format, NASA ANZLIC Australia New Zealand Land Information Council DC Dublin Core FGDC Federal Geographic Data Committee ADN ADEPT, DELESE, NASA Drexel University, College of Engineering

  5. Page 5 Related Markup Languages Drexel University, College of Engineering

  6. Page 6 Meta-Semantics Categorization of Metadata Elements “search” “use” Drexel University, College of Engineering

  7. Page 7 Semantics: Problem1 Metadata Standards lack domain specific elements They do not suggest if area and outlet location should be defined when a watershed is being described ? They do not incorporate a list of possible stations and variables related to surface water collected by a particular Hydrologic Information Community, HIC Drexel University, College of Engineering

  8. e.g. search for Stage Height Metadata repository Page 8 Semantics: Problem 2 Metadata Standards do not resolve semantic heterogeneities Metadata (ISO) about dataset X keyword = Stage Height thesaurusName = GCMD Metadata (FGDC) about dataset YTheme_Keyword = Gage Height Theme_Keyword_Thesaurus= USGS Finds only data set X and not data set Y Drexel University, College of Engineering

  9. Approach 1 (static) • develop <<CodeLists>> to suit hydrologic domain • extend ISO 19115 to include community specific elements • try to map to other standards and develop Metadata Interchange Formats (MIF) • provide utility to fill out metadata sets to describe your data Approach 2 (dynamic) • Develop a hydrologic ontology that defines the common words and concepts (the meaning) used to describe and represent an area of knowledge. • Ontologies enable you to specify the semantics of your domain, your enterprise, or your community, or across many communities, in great and arbitrary greater detail • utilize specific technologies and tools to tie hydrologic ontology into the Semantic Web. • utilize ontology to define a Controlled Vocabulary in a Restricted Domain to be used in the <<CodeList>> environment Page 9 Semantics: Solution Drexel University, College of Engineering

  10. Hydrologic Metadata Hydrologic Metadata Semantic WEB Semantic WEB A consistent suite of geographic information schemata that will allow Geographic information to be integrated with information technology. ISO norm 19115. Hydrologic Ontology Definition: The Semantic Web is the representation of data on the World Wide Web. It is based on the Resource Description Framework (RDF), which integrates a variety of applications using XML for syntax and URIs for naming. http://www.w3.org/2001/sw/ www.isotc211.org "The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation." Page 10 Ontologies for Metadata Profile Prepare the CUAHSI Metadata Profile for the Future! Drexel University, College of Engineering

  11. Metadata specifications Hydrologic vocabulary Metadata (ISO) about dataset X keyword = Stage Height thesaurusName = GCMD FGDC GCMD Mapper Metadata (FGDC) about dataset Y Theme_Keyword = Gage Height Theme_Keyword_Thesaurus= USGS Mapper ISO USGS Page 11 Resolve Semantic Heterogeneity e.g. search for Stage Height Finds data set X and Y Metadata repository Drexel University, College of Engineering

  12. Page 12 CUAHSI – Profile V.1.0 • Extend ISO • Set as core (Metadata elements selected to be used by CUAHSI) • Controlled Vocabulary • Create domain list to fit needs Express in machine readable format OWL/XML fully interoperable with original ISO Drexel University, College of Engineering

  13. Page 13 CUAHSI – Profile V.1.0 1) Extend ISO 19115 and use other ISO 19___ family standards ISO 19108 (temporal objects) ISO 19103 (units) ISO 19110 ISO 19115 (general) CUAHSI Profile In progress Features-Profile TimeSeries-Profile … HUC … Drexel University, College of Engineering

  14. Page 14 CUAHSI – Profile V.1.0 2) Set as core Using: “flag” to mark the core elements <owl:AnnotationProperty rdf:ID="core"> core = true Drexel University, College of Engineering

  15. CUAHSI CoreMandatory CUAHSI Core Optional CUAHSI CoreMandatory Page 15 CUAHSI – Profile V.1.0 • Core Metadata Version 1.0: • selected 77 descriptive elements that are CUAHSI core, i.e that are mandatory for any data set within CUAHSI • made available online for review and comments • output is in SDSC formats MTF: template format MIF: interchange format • entire ISO 191xx family of metadata norms is also available for inclusion in CUAHSI profile Metadata Tree Visualization Drexel University, College of Engineering

  16. NARR data Metadata Version 1.0: USGS Stream-gauges Metadata Version 1.0: 1. CooperativeStationID 1. HUC code Mandatory Mandatory 2. MeasuredParameter 2. CRS_datum Mandatory Optional 3. WBAN-ID 3. CRS_ellipsoid Mandatory Optional 4. CRS_Axis units 4. WorldMeteorologicalStationID Mandatory Optional 5. CRS_denominationOfFlateningratio 5. City (WeatherStationAddress) Mandatory Optional 6. CRS_semiMajorAxis 6. Country Optional Mandatory 7. CRS_projection 7. County Mandatory Optional 8. State 8. CRS_falseEasting Optional Mandatory 9. CRS_falseEastingNorthingUnits 9. ZIP_Code Mandatory Optional 10. CRS_HeightofProspectivePtaboveSurf. 10. CRS_HeightofProspectivePtaboveSurf. Optional Optional 11. CRS_falseEasting 11. CRS_falseEasting Optional Optional 12. CRS_falseEasting 12. CRS_falseEasting Optional Optional • ………….. • ………….. Optional Optional 14. …………… 14. …………… Optional Optional Page 16 CUAHSI – Profile V.1.0 Drexel University, College of Engineering

  17. Page 17 CUAHSI – Profile V.1.0 1. SensorDescription Mandatory 2. SensorName (long) Mandatory 3. SensorModelNumber Mandatory MD_Classification Code for “Observation” Metadatabased on SensorML 4. SensorType Mandatory 5. SenorName (short) Mandatory 6. SensorDeployAgency Mandatory 7. SensorInServiceDateTime Mandatory 8. SenorManufacturer Mandatory 9. ObservableProperty Mandatory 10. SensorDocumentationOrganization Mandatory 11. SensorOperatedOrganization Mandatory 15. SensorPlatfomType Optional 11. MeasurementMethod Optional 12. SamplerType Optional 13. SensorIdentificationNumber Optional 14. SenorNotOperatioanSinceDateTime Optional Drexel University, College of Engineering

  18. Page 18 CUAHSI – Profile V.1.0 3) Controlled Vocabulary Ontologies Labels Annotations Pangloss TOOL Drexel University, College of Engineering

  19. Page 19 CUAHSI – Profile V.1.0 • Created a • CUAHSI Keyword Controlled Vocabulary • based on: • UNESCO Int’l Glossary of Hydrology • Global Change Master Directory • Work still in progress • need to identify additional terms • cast it in ontology Hydrology Hydrologic Model Runoff Direct Runoff Base Runoff Surface Runoff Surface water Discharge or Flow Water Depth Stage Height Base flow Pressure Water yield Ground water Ground Water Discharge or Flow Safe yield Infiltration Hydraulic Conductivity Drainage Moisture Wells Aquifer Water Quality Fundamental Parameters BOD5 COD TSS MLVSS Ammonia Phosphate Dissolved Oxygen . . Meteorology Fundamental Parameters Air Temperature Dew Point Humidity Wind Chill Evaporation Land Surface Temperature Precipitation Standardized Precipitation Index Rainfall Sleet Snow Hail . . Topography Barometric Altitude Bathymetry Contours Geotechnical Properties Land Use Classes Soil Classification Landforms Terrain Elevation Vegetation Snow/Ice Cover Satellite Imagery . . Drexel University, College of Engineering

  20. Page 20 CUAHSI – Profile V.1.0 4) Set New Codelists • MD_Classification Code for security Constraints • World • Group • Owner Drexel University, College of Engineering

  21. Upper Hydrologic Ontology Hydrologic ProcessesSedimentation Many More Many More Many More Many More ARCHydro ISO 19115 Geospatial ISO 19108 Temporal Objects ISO 19103 Units/Conversion USGS Hydrologic Unit Code Page 21 More Ontologies We currently have What we need is Ontology Examples Drexel University, College of Engineering

  22. Page 22 Drexel University, College of Engineering

  23. Page 23 Thank you Questions? http://loki.cae.drexel.edu:8080/web/how/me/metadatacuahsi.html Drexel University, College of Engineering

  24. Page 2 Drexel University, College of Engineering

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