Progress Notes, Mar. 01

What I have done:

  • III Taxi Project After discussion with Taiwan Taxi, we learned more about the current operation of taxi dispatching and the attitude of the company toward the hotspots. I think we all agree that the hotspot statistics and prediction is helpful for drivers to make decisions, but how to give instructions according to the prediction is a controversial thing.
  • Paper Survey
    • SPIRIT Project The SPIRIT system wants to answer the queries which are in the form: , such as “restaurants near NTU.” Each geographical location is represented by a footprint. Applying different operations according to the rel to the footprint of where results in another footprint for the query [4]. It supports in, near, outside, east, south, west, and north, and it uses geo-ontology and domain ontology to derive the weights for adjusting the footprint generation. And to construct the ontologies from di erent databases, four matching mechanisms [3] are used to integrate the data. Footprint matching is the most strongest indication, but difficult to do due to the accuracy of the footprint definition in two datasets.
    • REXplorer Ballagas et al.[1] creates a gameplay for tourists to enjoy visiting the historical town with more interactions. It calculates optical flow from camera stills to estimate the movement of mobile devices, and checks whether players cast the right spell. It also maintains a travel blog on the server to track the progress, and the photos and videos players take on the way will be automatically tagged and attached to the blog entry.
    • Snap2Play Chin et al.[2] asks players to find a digital card in the real world, open the card and get a target photo, and match it with real scene. It uses GPS navigation for directing players, compass and accelerometer to detect the facing direction, and augmented reality techniques to immerse virtual objects to the real world. It uses SIFT as features and AdaBoost as classifier to match the photos.

What I plan to do.

  • III Taxi Design geo-spatial ontology.
  • Android
  • AI Qualify Exam
  • Paper Survey

References:

  1. Rafael A. Ballagas, Sven G. Kratz, Jan Borchers, Eugen Yu, Steffen P. Walz, Claudia O. Fuhr, Ludger Hovestadt, and Martin Tann. Rexplorer: a mobile, pervasive spell-casting game for tourists. In CHI ’07: CHI ’07 extended abstracts on Human factors in computing systems, pages 1929–1934, New York, NY, USA, 2007. ACM.
  2. Tat-Jun Chin, Yilun You, Ce’line Coutrix, Joo-Hwee Lim, Jean-Pierre Chevallet, and Laurence Nigay. Snap2play: A mixed-reality game based on scene identi¯cation. In MMM, pages 220–229, 2008.
  3. Gaihua Fu, Christopher B. Jones, and Abdelmoty Alia I. Building a geographical ontology for intelligent spatial search on the web. In M. H. Hamza, editor, Databases and Applications, pages 167–172. IASTED/ACTA Press, 2005.
  4. Gaihua Fu, Christopher B. Jones, and Abdelmoty Alia I. Ontology-based spatial query expansion in information retrieval. In On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE, volume 3761 of Lecture Notes in Computer Science, pages 1466–1482. Springer Berlin / Heidelberg, 2005.
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