• LarkcProject
• WP6
• Communication
• 2009-01-13_Bled-meeting

2009-01-13 Bled meeting

Agenda

• D6.3
  • mockup based on tech we know (ontobroker, d2r, ...)
  • mockup based on unknown baby larkc
• plugin demand of WP6
• matching on expectation between data providers and experiments
• screen design
• planning next 3 months

Discussion

• dilemma:

  • (OPTION 1) maximize the opportunity to show what we have in mind to the reviewers, but risk of showing dis-alignment between WP6 and the rest of the project --> mockup based on tech we know

  • (OPTION 2) maximize the testing of larkc, and probably better impression on reviewers, but big risk of failing! --> mockup based on unknown baby larkc

• Kono comment: we are anticipating the "prototype" (D6.4) with the mockup for the review, what is in the contract is the specification --> what can we do with D6.3?

• Emanuele additional option:
  • (OPTION 3) D6.3 back to paper report on design but pre-release of M18 prototype (D6.4)
• (timing: running code partial but without server errors by M12, running code by M14)
• partner preferences:
  • Siemens: 2
  • VUA: 2
  • Saltlux: 3, 2, 1
  • Cefriel: 2, 3, 1
  • WICI: would like to develop something for option 2 with WP6 data
• Zhisheng: if we fail option 2, at least we anticipate problems and have some feedbacks for the project
• DECISION: ask Frank about the risk of "WP6 failure" with option 2
• plugin demand of WP6

• what is the reasoning need of our route planner? USER QUESTION: what is the shortest (= quickest) path that brings me from P1 to P2? (where P1 and P2 are nodes, see http://seip.cefriel.it/ama/directory/nodes)

  • selecting a subset of the street topology data ("map") of Milano
    • what selection component from WP2?

    • using linktypes (highways, local-road, etc.), see http://seip.cefriel.it/ama/directory/linktypes

  • using a reasoner to compute the shortest path
    • using a rule-based reasoner, like ontobroker
    • alternative: a case-based reasoner (WICI)
  • extension: select also subset of external LOD sources (dbpedia, geonames)

    • NEW USER QUESTION: what is the shortest (= quickest) path that brings me from P1 to a place of type X? (where X is somehow found in dbpedia and othe data, e.g. a Milano monument) --> complex query that may involve a smart decider

• what can we do with WP3 machine learning plugins?
  • basic answer is based on the static data already present in the data (outflowSpeed or Traffic)

  • further answer based on machine learning results with different data for different time slot --> different estimation showing the differences using statistical data or machine learning predictions

• tomorrow at breakfast: meeting with Yi to discuss his requirements on data (mail of January 10)

• tomorrow afternoon (if bad weather ): further discussion between WP6 partners

• screen design:
  • presented current initial idea
  • ACTION ITEM (Irene): adjust wireframes with new story and circulate it on the mailing list for feedbacks