Semantic eScience Meeting April 03, 2013

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Welcome to TitanPad!

General Meeting Information


  • Han's presentation on QUDT: Quantities, Units, Dimensions and Data Types in OWL and XML (
    • Slides:
  • Session proposals AGU FM 2013
  • Ideas from research: those you think can be common topics across projects


  • Deborah
  • Jin
  • Linyun
  • Han
  • Yu
  • Marshall

Past Action Items

  • Linyun: talk with Patrick about ontology driven UI generation for TW website forms generation
  • Marshall: ask Peter for AGU memberships for eScience members who need them
    • another issue is discuss with Peter on potential session proposals to ESIP summer meeting

Action Items

  • to discuss with Peter and generalize the currently discussed topics into two or three
  • use hackpad for meeting agenda and notes


  • Keep this list from week to week so we know who's presented and who will present
  • Stephan September 21, 2012 - Ontology documentation discussion
  • Yu Chen, October 5, 2012 - Continuous Flow Forcast in Southesk River: Where we are and how we proceed, semantically
  • Marshall X Ma, October 19, 2012 - Exploratory visualization of earth science data in a semantic web context
  • Eric Rozell, November 2, 2012 - Resource Discovery for Extreme Scale Collaboration
  • Massimo Di Stefano, November 16, 2012 - IPython Notebook (applied to the ECOOP use case)
  • Han Wang, November 30, 2012 - - Open Data Protocol: the current state, libraries, functionality
  • Jin Guang Zheng, February 20, 2013 - Semantic Similarity based Entity Mapping: GCIS Case: GCMD-CLEAN Mapping
  • Linyun Fu, March 6, 2013 - CMSPV and ELDA
  • Patrick West, March 20, 2013 - Adaptations and extensions of Drupal
  • Han Wang, April 03, 2013 - QUDT: Quantities, Units, Dimensions and Data Types in OWL and XML (
  • Massimo Di Stefano, April 17, 2013 - Data and visualization integration via web based resources
  • Marshall X Ma, May 01, 2013 - TBD


session proposal for AGU fall meeting 2013

  • DM: Five proposals are somehow many, a couple could be fine
    • we can collaborate w/ others to propose sessions
      • can set up a wiki for such discussions
      • a general topic is Semantics and Cyberinfrastructures for Next Generation Science
      • provenance can be another topic
    • TW page for agu 2013
    • AGU 2013 session proposal guideline:
    • deadline: 19 April at 11:59 p.m. EDT/3:59 a.m.+1 GMT.
    • We submit to the "IN" division
    • (Not public) link to AGU from 2012

      • we can find topics related to semantic escience and potential collaborators on session proposals

    • Linyun: a topic on data portal generation
      • "Models, Principles and Best Practices for Scientific Data Portal Development"
      • See "Data Discovery and Access Services" sessions from 2012
    • Marshall: geoscience vocabularies and semantic mapping and ontology governing
    • Jin: semantic search session
      • There is already a data discovery session in AGU in last few meeting
      • propose a new session vs collaborate with the data discovery session people
      • submit a talk to data discovery session/semantic search session?
    • Yu and Han: DCO-DS work

Semantic sessions from last year (2012)

  • Data Discovery and Access Services I
  • Data Discovery and Access Services II
  • Data Discovery and Access Services III
  • Linked Data for Earth and Space Science Posters
  • Semantics and Cyberinfrastructures for Next Generation Science I Posters
  • Semantics and Cyberinfrastructures for Next Generation Science II

Ideas from research

  • Some common topics like Jin's semantic search and Linyun's data portal generator
    • there is a ESIP datatype ontology --
      • the datatype there may be different from the object type in the DCO-DS, but are share some common issues
    • webpage about the data portal generation project:
    • Linking to Billion Triples: Jin developed a entity recognizer using 2009 billion triples which is able to recognize free text entity mentions and link the entity mentions to the entity on the Web of Data
      • Example: if entity mention contains "steve jobs" and "apple", the recognizer will be able to annotate "steve jobs" -> "" and "apple" -〉“"