IW F2F Meeting 2009-11-20

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Contents

Background

title:An end-user guided approach to extend systems to capture data provenance with PML using Inference Web tools

abstract: Data provenance is a critical feature that modern scientific systems need to support end users in understanding generated results. The Proof-Markup Language (PML) offers a mechanism to encode data provenance in a distributed manner and in a way that is amenable for use on the Web. The CI-Miner approach consists in creating ontology-based abstract workflows that model the essential data transformations that a system carries out. These abstract workflows are useful to understand and create agreement among an end-user community about the behavior that a system should have, and to further use this consensus of understanding to generate wrapper code that can be used to instrument corresponding system components to capture provenance encoded in PML. Furthermore, a visualization tool for PML is used to support the analysis of the provenance encoded in PML. This tutorial highlights two tools: - WDO-It! is a java-based desktop application used to create ontology-based workflows encoded in OWL, and to guide the generation of data annotator wrapper code that is used to instrument systems; - Probe-It! is a java-based web tool that is used to visualize PML encodings. At the end of the workshop we expect the following two outcomes: 1) End-users will have a clear understanding about the data transformation process that a system carries out to decide what is relevant and how to instrument the system to generate provenance in PML, and 2) end-users will have a friendly way of inspecting and analyzing provenance encoded in PML.

homepage: http://rio.cs.utep.edu/wiki/PML_Data_Annotator_Workshop

agenda

note: We use New York Time.

  • 9:30 - 10:15 introduction and background - goals, intro to tools
  • 10:15 - 11:15 creating ontology-based abstract workflows with WDO-it
  • 11:15 - 12 - hands on help - leo
  • 12-1 lunch
  • 1-1:45 generating data annotator wrappers and instrumenting systems to generate data provenance in PML
  • 1:45 -2:15 visualizing data provenance encoded in PML
  • 2:15 - 3:00 - discussion with attendees with challenges
  • 3:00 break
  • 3:15 - 4 conclusion

call in information

November 20, 2009 09:00:AM EST. To join the Dimdim event simply click here

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Background Reading

PML - Deborah L. McGuinness and Li Ding and Paulo Pinheiro da silva and Cynthia Chang. *PML 2: A Modular Explanation Interlingua*. In Proceedings of the AAAI'07 Workshop on Explanation-Aware Computing, July, 2007. (Abstract <http://www.ksl.stanford.edu/KSL_Abstracts/KSL-07-07.html>) (PDF <ftp://ftp.ksl.stanford.edu/pub/KSL_Reports/KSL-07-07.pdf>) -- PML2

Inference Web - Deborah L. McGuinness and Paulo Pinheiro da Silva. *Explaining Answers from the Semantic Web: The Inference Web Approach*. /Journal of Web Semantics/. Vol.1 No.4., pages 397-413, October 2004. (Abstract <http://www.ksl.stanford.edu/KSL_Abstracts/KSL-04-03.html>) (PDF <ftp://ftp.ksl.stanford.edu/pub/KSL_Reports/KSL-04-03.pdf>)

Inference Web in use - Paulo Pinheiro da Silva and Deborah L. McGuinness and Nicholas Del Rio and Li Ding. *Inference Web in Action: Lightweight Use of the Proof Markup Language*, In International Semantic Web Conference, pp. 847-860, 2008. http://www.cs.utep.edu/paulo/papers/PinheirodaSilva_ISWC_2008.pdf


CI-Miner - Paulo Pinheiro da Silva, Leonardo Salayandia, Aida Gandara, Ann Q. Gates. *CI-Miner: Semantically Enhancing Scientic Processes*. To appear in Earth Science Informatics, Springer. (PDF) <http://www.cs.utep.edu/paulo/papers/PinheirodaSilva_ESI_2009.pdf>

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