swissex wiki. motivation for wiki re-use of measurements –collaborative effort –semantics...
Post on 20-Dec-2015
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Motivation for WIKI
• re-use of measurements – collaborative effort– semantics
• organization of measurements– temporal and spatial reference systems
Overview Experiments
• Ontology
• experiment– set-up– maintenance– data access, processing & visualization– overall coordination
Meta Data Management
• very different requirements per project• master schema will not work
– does not even work in a single organization (SLF)• m eta data usage
– important for data re-use and provenance– less important for searching
• approach– capturing meta data in WIKI pages using a controlled
vocabulary– make relevant parts accessible for search using
semantic annotation using a controlled vocabulary
Ontology• sensorML http://vast.nsstc.uah.edu/SensorML/ • Ontology for Geographic Information - Metadata ( ISO 19115:2003 )
http://loki.cae.drexel.edu/%7Ewbs/ontology/iso-19115.htm• Open Geospatial Consortium, “GML – A Markup Language for Geography,”
http://opengis.net/gml/• Ontology for Geography Markup Language (GML3.0) of Open GIS
Consortium (OGC) http://loki.cae.drexel.edu/~wbs/ontology/2004/09/ogc-gml.owl
• sensor standard harmonization (ANSI N42.42, CAP, DoD CBRN Data Model, EDXL-DE, IEEE 1451.0, IEEE 1512.3-2002, OGC SAS 1.0, OGC SensorML, OGC SWE, OGC WFS 1.1) http://vkwiki.visualknowledge.com/wiki/sensors, http://colab.cim3.net/cgi-bin/wiki.pl?NetReadySensorsWorkshop_2006_08_0203
• sensor ontology of the NASA project http://sweet.jpl.nasa.gov/ontology/sensor.owl
• Suggested Upper Merged Ontology (SUMO) http://www.ontologyportal.org/• AmeriFlux ontology of measurment values
http://public.ornl.gov/ameriflux/standards-core.shtml• American Meterological Society Glossary
http://amsglossary.allenpress.com/glossary/browse
Ontology• DIN 4049 Part 1-3 (hydrologic terms quantitative, qualitative, ground water)• DIN 19711 Hydrogeologische Characters• ISO 19100 series of geographic information standards
– supported by the World Meteorological Organization– main goal
• define the basic semantics and structure of geographic information for data management and data interchange purposes, and
• define geographic information service components and their behaviour for data processing purposes.
– ISO/TC 211 DIS 19115 OpenGIS(tm) Metadata • around 400 elements where around 20 are mandatory
– 19115-2 - Metadata - Part 2: Extensions for imagery and gridded data• World Meteorological Organization (WMO) No 182 "International
meteorological vocabulary"– http://www.wmo.ch/pages/catalogue/New%20HTML/frame/engfil/182.html– http://doi.wiley.com/10.1002/qj.49709339524
• ISO/IEC 10746:1995 RM_ODP (Reference model for Open Distributed Processing).
Ontology
• standards are community specific– SensorMap & SwissEx: interdisciplinary
• ontology has to be discussed and decided by environmental scientists
• scientists are not used to share data on a larger scale without personal interaction
• scientist see the need for a controlled vocabulary in their work, but are busy right now with site selection and instrumentation
• scientists are used to report a minimal set of meta data (geographical position, time, author, etc...)
Ontology
• approach– definition of a glossary– have to provide information about
• instruments being used• measurements done in an experiment using an instrument • position, situation, • maintenance and manual observations of stations
– use this vocabulary to steer the ontology discussion – use formatting templates to structure meta data
Experiment set-up
• assigning a name to a sensor station– when does a name change?
• recording of meta data– using controlled vocabulary
• persistence of data
• publishing of data– e.g. SensorMap
Experiment maintenance
• change over time of senor positions, names
• maintenance and exchange of instruments
• re-calibration or configuration of instruments
Data access, processing and visualization
• find relevant sensors– e.g. based on spatial constraints
• select relevant data– more information by environmental engineers
• process or visualize derived data– existing code is based on applications (ArcGIS,
MatLab)– document processing instructions and results
• integrated UI– data provenance?
Overall coordination
• tagging– personalized organization of content
• calendar– temporal organization
• map– spatial organization
for knowledge management and project coordination