SwissEx WIKI. Motivation for WIKI re-use of measurements –collaborative effort –semantics organization of measurements –temporal and spatial reference.

SwissEx WIKI

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

Ontology / Glossary

http://www.swiss-experiment.ch/SwissEx/index.php/Record:Glossary

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

Instrumentation plan at Thur site