Semantic eScience Meeting March 24, 2014

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General Meeting Information

  • This Meeting: href="">Semantic eScience meeting 2014 03 24
  • Previous Meeting: Semantic eScience meeting 2014 03 10
  • Call-in information
    • Goto Meeting
      • Dial +1 (805) 309-0012
      • Access Code: 776-009-689
      • Audio PIN: Shown after joining the meeting
      • Meeting ID: 776-009-689
  • Next Meeting: 



  • 2014 AGU Fall Meeting Session Proposal
  • Yu Chen’s talk

Past Action Items

  • Jin upload his slides and send the group the link. [done]

Action Items

  • Patrick created a AGU2014 event
  • Marshall created a webpage to collect session topics and abstract ideas


Keep this list from week to week so we know who’s presented and who will present

  • Keep this list from week to week so we know who’s presented and who will present. Please sign up if you have a good topic to share with others.
  • Feb. 3, 2014 - Introductions, no presentation
  • Feb. 24, 2014 - Linyun Fu - Data theory (Wickett et al.’s and Mealy’s papers)
  • Mar. 10, 2014 - Jin Zheng - thesis
  • Mar. 24, 2014 - Yu Chen - Predict what’s typed on screen
  • Apr. 14, 2014 - Patrick West - ToolMatch
  • Apr. 28, 2014 - Peter Fox - event calculus


Yu’s talk: Predict what’s typed on screen

  • Since iOS 7.1, some programs are running in the background detecting user manners
  • Adopt an ensemble classification technique
    • feature extraction: a total number of 270 features for a single tap
    • Candidate classifier: kNN, SVM, Random-Forests, Logistic Regression, Decision Trees
  • Algorithm and language model built based on Google Ngram Dataset
    • A language model is a estimator function assigning a probability to the next word appeared after one sentence
    • word level correction
    • phrase level correction
  • Future work: Model stroke and tap patterns to detect applicaitons being used






GeoData II

  • 2014 AGU Fall Meeting Session Proposal
    • Submission deadline: 24 April 2014, 11:59 p.m. EDT. Don’t delay!
    • Last year’s sessions we proposed or submitted to:
      • Semantically Enabling Annotation, Discovery, Access, and Integration of Scientific Data
      • Advanced Technologies, Web Portals, and Best Practices for Improving Data Generation, Access, Understandability, and Usability
      • Data Stewardship in Theory and in Practice
      • Translating Science into Action: Innovative Services for the Geo- and Environmental- Sciences in the Era of Big Data
      • Information Model Driven Architectural Components for Science Data Repositories and Archives
      • Data Scientists Come of Age
      • Data Curation, Credibility, Preservation Implementation, and Data Rescue to Enable Multi-source Science
      • Next Generation Science Standards and the Future of American Geoscience