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Textual-Geospatial Integration Project

Textual-Geospatial Integration Project. J AMES F REW University of California, Santa Barbara. Geospatially-Augmented Search. What’s here? Find library objects associated with a given location : Place name(s) “Footprint” (geographic extent) Where’s this?

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Textual-Geospatial Integration Project

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  1. Textual-Geospatial Integration Project JAMES FREW University of California, Santa Barbara

  2. Geospatially-Augmented Search • What’s here? • Find library objects associated with a given location: • Place name(s) • “Footprint” (geographic extent) • Where’s this? • Find the location(s) associated with a given library object

  3. Examples (from TREC-9) • Find documents that contain residential real estate listings within New Jersey. • Find reports on automobile traffic in the Washington, DC metropolitan area. • What forms of entertainment are available in Newport Beach, California?

  4. Why Is GAS® Difficult? • Few library objects have explicit locations • Assigned reliably • Identified in object’s metadata • Many objects (especially text documents) have implicit locations • Present in, or inferable from, object’s content • Not necessarily identified as locations

  5. “Where’s This” Service PARSE text document potential names, types, coordinates type thesaurus LOOKUP gazetteer gazetteer entries (known places) ANALYZE ranked footprints and placenames “best” name(s) EVALUATE composite footprint

  6. Geo-parsing • Extract “geographic facts” from text • Characterize by • Potential place component • name, type, footprint • Related fact (with preposition) • “in …”, “northeast of …”, etc. • Frequency • Importance • Context

  7. Geo-parsing Example (1/2) (California,,,,1,K) (Callahan,,,(in,California),1,K) (Callahan-Yreka,,,(area of,),1,T) (Early Cambrian,,,,1,B) (Klamath Mountains,,,(eastern,),1,T) (Klamath Mountains,,,(within,),1,B) (Klamath Mountains,,,,1,K) (Northern California,,,,1,T) (Ordovician,,,,1,B) (Ordovician,,,,1,K) (Paleozoic,,,(in,California),1,B) (Paleozoic,,,,1,K)

  8. Geo-parsing Example (2/2) (Silurian,,,,1,K) (Siskiyou County,,,(in,California),1,K) (Skookum Gulch,,,,1,K) (Skookum Gulch,,,,1,T) (Skookum Gulch,,,,2,B) (United States,,,,1,K) (Yreka,,,(in,California),1,K) (,fault,,,2,B) (,rocks,,,6,B) (,,N410000N420000W1220000W1230000,,1,C) (,,,(in,North America),1,B)

  9. Lookup Example: Feature Type • Fault: partial match: fault zones • Rocks: use: natural rock formations

  10. Lookup Example: Gazetteer Place Name exact partial Skookum Gulch 1 0 Klamath Mountains 1 0 Northern California 1 0 California 1 492 Callahan* 1 1 Silurian 0 5 Siskiyou County* 1 14 United States 1 273 Yreka* 1 12 North America 0 8 *within footprint of California

  11. Analysis Criteria • Placement in document • e.g. keywords, title > body • Frequency in document • Exact match in gazetteer • Accuracy of gazetteer footprint • e.g. points < bounding boxes • Scale of gazetteer footprint • Size of focus area / size of footprint

  12. High confidence Callahan in California Yreka in California Skookum Gulch Klamath Mountains (eastern) Siskiyou County Low confidence Northern California United States North America Analysis Example: Results

  13. Derived footprint • Eastern Klamath Mountains • Area of Callahan-Yreka • Skookum Gulch Evaluation Example Skookum Gluch Klamath Mountains California Callahan in California Siskiyou County in California United States Yreka in California • Additional placenames • Shasta Butte City • Yreka City • Thompson's Dry Diggings

  14. AIRE UserInterface Query Parser Document Ranker “What’s Here” Service Query Expansion Gazetteer Example Query: Bodies of Water near Chicago Expansion Terms: Lake Michigan, Chicago River

  15. Manual Relevance Feedback Spatial Synonyms “Chicago, IL” “Chicago River” AIRE UserInterface Gazetteer Query Place Names “Chicago” Query Parser

  16. Automatic Relevance Feedback AIRE Spatial Query Results “Chicago River, Lake Michigan” Gazetteer RF System Place Names, Surrounding Type Terms “Bodies of Water” Expanded Query Document Ranker

  17. “What’s Here” Components • Place names  footprints • Requires: place name ranking scheme • Chicago, IL > Chicago tectonic plate in Brazil • Type terms  classes • Requires: class thesaurus API • “Bodies of Water”  “Water Bodies” • 3. Gazetteer  spatial synonyms • Requires: gazetteer API; results ranking • “Bodies of Water near Chicago”  set of gazetteer queries

  18. The Light at the End of the Tunnel • You submit: • a document • You get: • a place • Best • Also-rans • Alternatives • What you do with this is your business

  19. UCSB Linda Hill Greg Janée Dave Valentine Satoshi Ikeda (Japan Patent Office) IIT Steven Beitzel Ophir Frieder David Grossman Eric Jensen Vasif Shaikh Brought To You By

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