NEESGrid Data and Meta Data Technology Kincho Law

NEESGrid Data and Meta. Data Technology Kincho Law, Jun Peng, Jim Eng, Terry Weymouth, Paul Hubbard, Charles Severance

Outline n n n Model activities Metadata tools and repository Data as video What is done What we have to do

There is a layer is where we develop tools which take advantage and begin to depend on of the “meaning” of the data – where we begin to depend on the meaning of a second. The Slide Data Ingestors h c ar Se Co nc Metadata ep Data Mappers Data Where we make a viewer capable of viewing a certain type of object. This is where we build things which make use of knowledge. ts This layer will never be complete but it is a large focus of the coming months. Data Viewers 09/2003

How to prioritize model exploration and development n Focus on the following areas: – Areas where we have or are building tools – Areas where we already have incoming data in some format – Build the model through experiment based deployment - solve real problems in an open way and see if (with some adaptation) the solutions apply more broadly (i. e. Minnesota ) 11/2003

Go Forward - Tools n n n n Evaluate the ORST interface and use it to implement experiment -based interface to meta data repository Investigate tools to represent structural data (like SAC data) Extend and improve viewers – publish API so that sites can extend the viewers Improve notebook – Single signon using CHEF/Grid credentials – Integration with Metadata – Smother integration with CHEF Explore automated synchronized video and data capture and after-experiment replay of synchronized video and data (ORST UMinn) Explore the capture of high quality still images as data (UMinn) Investigate adopting a data-editing tool (XMLSpy) 09/2003

RDF Integration n Some of the data and meta data task force members are using Protégé-2000 to develop their models and expressing them in RDF and NEESML are very similar but not identical so it may be challenging to ingest any arbitrary RDF We expect that we will be able to map a subset of RDF to NEESML for ingestion or adapt an RDF parser (Jena or Raptor) to ingest that subset directly into the repository 11/2003

Data Model Activities n Groups have been formed to develop coordinated models – – n n Shake Table Centrifuge Tsunami Geo. Tech Gokhan Pekhan is organizing this effort Kincho / Jun / Jim pushed forward with a RDF -Based Shake Table Model from Protege 2000 and developed software

Models + Data Model Data nfi Co Models gu re RDF Load RDF/ OWL Configure Repo

Models + Data Model Data RDF Load igu re Repo Co nf Models RDF/ OWL Protégé - 2 K Configure

Electronic Notebook n Collaborative effort with the DOE Sci. DAC – – – Electronic notebook - metadata entry Data mapping Data provenance Data display Slide data/metadata jakarta. apache. org/slide/ n Ultimate integration will be via JSR-170 www. scidac. org/SAM/ n collaboratory. emsl. pnl. gov/docs/collab/samtechoverview. html n

DOE ELN / NEESgrid Integration (to date) My. Proxy NEESgrid Repository Chef Grid Security Technology Celebration SAM / Slide Repository

DOE ELN / NEESgrid Integration (ultimate) My. Proxy NEESgrid Repository Chef Grid Security

DAQ 0 3 4 0 6 8 “Skunkworks” project 0 3 4 0 6 8 09/2003

Data Turbine n Commercial, free data streaming toolkit

Data Turbine (cont) n n n Existing data viewers will be adapted to access and display data from data turbine Data acquisition software will be adapted to place information in Data Turbine Channels Metadata elements will be developed to represent data turbine live, stored, and derived channels New efforts (video as data) will be developed from the ground up using Data Turbine outlet. creare. com/rbnb/ 11/2003

Video as Data n n Follow on to initial demonstration at ORST Experiment based development: Minnesota Design phase complete Joint effort, NEESGrid SI, ORST, Minnesota, UC Davis, Texas, Buffalo, and others

Data Turbine - Today CTL NTCP Plugin NTCP Control Plugin DT Main System AXIS / DT Gateway Axis BT 848 rbnbjcap DT Client DAQ Data Capture DT Client NEES NSDS Driver

Data Turbine Control NTCP Control Plugin DT Main System Thumbs Technology Celebration Make Smoothie

DT Capturing PTZ/ USB BT 848 Still Capture DT Client rbnbjcap Each still capture produces two channels - Small 1 -5 fps stream + large single images when picture is taken Camera Control Plugin DT Main System DT Client Audio DAQ Audio Encoder DT Client Data Capture DT Client NEES NSDS Driver Still Capture - Minnesota / Paul Hubbard Video capture - From Creare Audio capture - From Creare (TBD) Data Capture - From sites (upwards compatible) NEES NSDS Driver - Paul Hubbard Camera Control Plugin - Mich / Minn

User Views / Still Camera Control Plugin Still Image / Camera Control Thumbnail - u. Buffalo / Umichigan Thumbnail viewer - Creare / Mich Camera Control Applet - Minn / Mich Quicktime Slicing tool - Mich (low) Stored Data Viewer - Mich JPEG Viewer - Creare Quickime Viewer - Apple DT Main System ^ < > ^ ~ < > Thumbnail + Audio + Data Thumbnail Process Quicktime Storage System Quicktime Slicing Tool < > + Data Viewer

Minnesota Mock - up If you area developer and interested in following / helping / participating in this activity, join the mailing list neesgrid-dv@neesgrid. org

Tool List - To Do n n n Next release of repository Integrate ELN into repository DAQ Control Panel in CHEF – Set/Retrieve Metadata – Start / Stop – Ingest data from staging space n Data Turbine Control Panel in CHEF – Start / Stop / Configure Sources • Video | Audio | Data | Thumbnail – Control permanent storage of video

To Do (cont) n NTCP Debugging and Monitoring in CHEF – Needed Data Turbine n Data as Video Client Tools in CHEF – New Monitor Tool – Still Image – Camera Control n n n Data Turbine Audio Capture We may need to support XML Schema Quick. Time Capabilities – Archive, retrieve, slice, dice, convert, present – Probably will not be completed as part of SI effort

Data Model Work n Data Curation Summit – Understand issues form go-forward plan – Meeting 3/18/2004 n Data and Metadata Task Force – Finish the tsunami and centrifuge models n DSAC Committee – Meeting 3/19/2004

Summary n n In September 2003, we met and “re-visioned” data A bunch of requirements gathering and development has been done – The “high risk” elements are working now n There is more to do - We will run out of time – Evolutionary development approach - there will always be usable working code - we will stop when we run out of time

The people… n n n n Gokhan Peckan - Data Models Kincho Law - Data Models / Software design Jun Peng - Data Models / Software design Jim Eng - Parse / Ingest / RDF / Project Browser Jim Myers - Electronic Notebook Terry Weymouth - Data Turbine Paul Hubbard - DAQ and NTCP Joe Futrelle - Data / Metadata Repository