Your SlideShare is downloading. ×
Data Mesh-up and Mapping using Semantic Wiki
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.

Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Data Mesh-up and Mapping using Semantic Wiki


Published on

Published in: Education, Technology
  • Be the first to comment

  • Be the first to like this

No Downloads
Total Views
On Slideshare
From Embeds
Number of Embeds
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

No notes for slide


  • 1. Data Mesh-up and Mapping using Semantic Wiki -- with use cases in RPI Map1 and VSTO Map2 Joint Work of Jie Bao, Zheng Jin Guang, Rui Huang, Li Ding Jan 22, 2009 1 2
  • 2. Tetherless Map Extension Features • Data presentation: – Map a coordinate – Map results of a semantic query – Displays information provided in a KML file. – Layer control. • Navigation: – Location browser – Search and filtering
  • 3. Two Parser Functions Semantic query {{#map_objects: {{#ask: {{#insert_map: [[Category:Location]] 17.3,17.8 | ?Has LatLong |2 | ?Has URL |G_HYBRID_MAP | ?Has short name |GLargeMapControl | ?Has service |class1 | ?FOAF:page |800 |600 |limit=200 |border: thin dotted#00FF00 |link=none}} |<b>This is an example</b> |Route; |Empire Building /data/route.kml }} }} Integrate KML file as a map layer 3
  • 4. RPI Map RPI Event Feed Event •RPI Building Listing •Parking Map Building Course RPI Catalog Google Map Service People User input RPI Directory Shuttle GPS
  • 5. RPI Map External Data Mediators Wiki DB Semantic Wiki Text Form Publisher Wiki Template Google Map API SMW RDF DB RDF Consumer Query Semantic Query result 5
  • 6. RPI Map Balloon tip Layer Control Bus Tracking Main interface
  • 7. RPI Map RSS Feed
  • 8. RPI Map • Why semantic wiki helps? – Lessen naming heterogeneity: • where are Incubator Center, Peoples Ave Complex J, J Building, or J Bldg ? – Data can flow (by semantic query) • E.g., Today’s events, Events at a building, Person in the same building – (a little bit) reasoning • All seminars are also meetings (and events) – The wiki-way to improve data • Anybody, anytime, anywhere, anything
  • 9. VSTO VSTO = Virtual Solar Terrestrial Observatory, Instrument management Goal: a unified semantic environment serving data from diverse data archives in the fields of solar, solar-terrestrial, and space physics
  • 10. VSTO Instrument List (the traditional way)
  • 11. VSTO Instrument Map VSTO instrument Map Data source: imported from VSTO instrument ontology
  • 12. VSTO Instrument Map Real time satellite tracking Data source: real time query to
  • 13. Lessons Learned • Data Integration is the most difficult part – Heterogeneity everywhere – Data agent/mediator/convertors critical • As parser function/shell script/javascript reload/KML feed, etc. – Semantic wiki makes it easier • Both semantics and wiki should be invisible to users – Wiki as a light-weight RDF database – By Semantic Forms, Templates, Skin and other UI tricks – But recoverable if user needs