HR: 18:10h
AN: IN24A-06    [Abstracts]
TI: Knowledge provenance in science data pipelines; languages, tools and artifacts - what can we now answer?
AU: * Fox, P
EM: pfox@cs.rpi.edu
AF: HAO/NCAR, PO Box 3000, Boulder, CO 80205, United States
AU: * Fox, P
EM: pfox@cs.rpi.edu
AF: TWC/RPI, 110 8th St, Troy, NY 12180, United States
AU: McGuinness, D L
EM: dlm@cs.rpi.edu
AF: TWC/RPI, 110 8th St, Troy, NY 12180, United States
AU: Pinheiro da Silva, P
EM: paulo@utep.edu
AF: UTEP, University Drive, El Paso, TX , United States
AU: Zednik, S
EM: zednis@rpi.edu
AF: HAO/NCAR, PO Box 3000, Boulder, CO 80205, United States
AU: Zednik, S
EM: zednis@rpi.edu
AF: TWC/RPI, 110 8th St, Troy, NY 12180, United States
AU: Del Rio, N
EM: ndel2@miners.utep.edu
AF: UTEP, University Drive, El Paso, TX , United States
AU: Ding, L
EM: dingl@cs.rpi.edu
AF: TWC/RPI, 110 8th St, Troy, NY 12180, United States
AU: West, P
EM: westp@rpi.edu
AF: HAO/NCAR, PO Box 3000, Boulder, CO 80205, United States
AU: West, P
EM: westp@rpi.edu
AF: TWC/RPI, 110 8th St, Troy, NY 12180, United States
AU: Chang, C
EM: csc@cs.rpi.edu
AF: UTEP, University Drive, El Paso, TX , United States
AB: We present our work to date on applying knowledge provenance representations (Proof Markup Language; PML) and tools (Inference Web;IW and ProbeIt!) within data pipelines for solar physics instruments operated at the Mauna Loa Solar Observatory in Hawaii. We now have experience with our initial infrastructure artifacts (PML files) that can be searched, queried or browsed by early users for the purpose of answering specific use cases that were not possible to answer before. In modeling both other parts of the data pipeline, as well as in greater detail, we have used additional tools such as workflow driven ontologies (WDoIt! from the University of Texas at El Paso). We present our current implementation, use of tools, and impact on language representation - in particular the emerging need to introduce domain and instrument concepts (ontologies) into the provenance artifacts. The Semantic Provenance Capture in Data Ingest Systems (SPCDIS) project is an NSF/OCI/SDCI funded effort involving the Tetherless World Constellation at Rensselaer Polytechnic Institute, the High Altitude Observatory at NCAR, McGuinness Associates and the University of Michigan. Additional team members: Leo Salayandia3, Aida Gandara3, Jiao Tao1, Honglei Zeng.
UR: http://tw.rpi.edu/wiki/SPCDIS
DE: 9810 New fields (not classifiable under other headings)
DE: 9820 Techniques applicable in three or more fields
SC: Earth and Space Science Informatics [IN]
MN: 2009 Joint Assembly