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Data Mesh-up and Mapping using Semantic Wiki
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Data Mesh-up and Mapping using Semantic Wiki

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  • 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 http://map.rpi.edu/ 2 http://onto.rpi.edu/wiki/vsto
  • 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;http://shuttles.rpi.edu |Empire Building /data/route.kml }} }} Integrate KML file as a map layer 3
  • 4. RPI Map http://map.rpi.edu 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 vsto.hao.ucar.edu, www.vsto.org 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 http://onto.rpi.edu/wiki/vsto
  • 12. VSTO Instrument Map Real time satellite tracking Data source: real time query to n2yo.com
  • 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

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